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Nowadays some debates exist within psychological and neuropsychological assessment fields respecting differences between traditional testing (with pencil and paper) and the same tasks implemented via computer or Tablet programs. In this context, the Mode Effect is defined as the effect by which the same tasks, tested with different devices, may show different results. In addition, the Mode Effect might be associated with higher cognitive load, higher attentional requirements, fatigue and stress among others. The Corsi block-tapping test is widely used in psychology and cognitive sciences to assess visuospatial working memory. Originally, the stimuli sequence was manually set by a researcher which could entail a constraint to run the test accurately. Today, there are many digital versions available for computers or tablets and, although this meant a significant cut on manual steps, there are discussions on the impact these digital versions could have on working memory as opposed to traditional ones. This work focuses on the development of the CorsiBot: a new physical and automated version that enables researchers to assess performance and resolution strategies for the Corsi block-tapping test while combining the benefits of both tangible and digital versions. In addition, this work aimed to compare the performance of a sample of adults between a digital version of Corsi and our CorsiBot. Thirty adults where assessed with both devices with different protocols. After each assessment, participants completed the NASA-TLX questionnaire in order to explore the cognitive load required by each device. Results showed similarities and differences between each device. Specifically, participants showed a similar proportion of correct trials, while showing different types of errors for each version of Corsi. Such differences were related to path errors, where response sequence contains the correct blocks but pressed in an incorrect order. Analyses showed that SoftCorsi was more sensitive to those kind of errors. With respect to cognitive load, participants reported that CorsiBot elicited larger mental exigency than SoftCorsi. The present work aims make a relevant contribution to research and clinical teams interested in the assessment of spatial working memory. This work contributes theoretically with evidence on the behavior of memory under different processing contexts. In addition, it has practical implications related to diagnostic issues on the identification of individual differences under distinct assessment modes. Finally, the device showed effectiveness in the assessment and record of responses that permitted exporting, analyzing and visualizing the results. Schemes and source codes of the devices are openly available for free use for any interested research group or institution. [ABSTRACT FROM AUTHOR]

This paper stresses the importance of biases in the field of artificial intelligence (AI). To foster efficient algorithmic decision-making in complex, unstable, and uncertain real-world environments, we argue for the implementation of human cognitive biases in learning algorithms. We use insights from cognitive science and apply them to the AI field, combining theoretical considerations with tangible examples depicting promising bias implementation scenarios. Ultimately, this paper is the first tentative step to explicitly putting the idea forth to implement cognitive biases into machines. [ABSTRACT FROM AUTHOR]

Among those living systems, which are cognizers? Among the behaviours of, and causes of behaviour in, living systems, which are cognitive? Such questions sit at the heart of a sophisticated, ongoing debate, of which the recent papers by Corcoran et al. (2020) and Sims and Kiverstein (2021) serve as excellent examples. I argue that despite their virtues, both papers suffer from flawed conceptions of the point of the debate. This leaves their proposals ill-motivated—good answers to the wrong question. Additionally, their proposals are unfit to serve the legitimate roles for characterizations of cognition. [ABSTRACT FROM AUTHOR]

Affective computing is a rising interdisciplinary field of research spanning the areas from artificial intelligence, natural language processing to cognitive and social sciences. Potential applications comprise of man–machine interaction, healthcare, entertainment, teaching, marketing and many more. Despite the increasing number of papers published in the domains of affective computing, emotion recognition, and human–computer interaction (HCI), there are still gaps in the comprehensive literature review that covers all relevant studies in a single study, which this review attempts to address. As a result, this study provides a systematic literature review (SLR) on existing modalities (unimodals) for emotion recognition, emotion models, and trends in relevant studies by selecting articles published from January 2010 to June 2021. To ensure the retrieval of all relevant studies, a review protocol is used that includes both automatic and manual searches. Based on the research questions, the final 129 papers are reviewed and relevant information is extracted. This SLR provides future research directions to assist novice researchers and practitioners in more efficiently utilizing affective computing techniques. [ABSTRACT FROM AUTHOR]

The paper surveys the last 30 years of Hungarian academic psychology. Around 1989–1990, the time of the great social changes Hungarian psychology was rather Westernized, but still a relatively small scientific field and applied profession. The opening and liberalization of politics made psychology in Hungary a booming profession and a rich research field. Education of psychologists was spreading, and becoming more Westernized in textbook usage and reading materials. Entrance numbers at two universities with 80 students were replaced by 2010 by 6 university programs and about 8000 incoming students. The training system is a Bologna type BA + MA + PhD system, The educational booming has its own problems. As all university subjects, psychology training is also underfinanced, with high teaching loads and a move by university management towards applied areas, neglecting basic research. The research activity is characterized by a fivefold increase of English language publications coming from Hungary over a 20 years period. University research was strengthened, and competitive grant systems were introduced, whth good success aretes by psychologists. Here again, managerial thinking questions many aspects of basic research and liberalized science management. These factors are peculiar to psychology, but they do have an impact on it. The paper gives some details about one chapter of academic psychology, cognitive psychology. Institutionally, support by the Soros foundation in the 90s for the university cognitive programs had as one consequence that three departments of cognition are active in Budapest today. Another aspect of insitutional development was the series of multidisciplinary conferences in Hungary (MAKOG), and Hungarian involvement in international graduate training programs in cognitive science. The most successful cognitive group, at Central European University (5 ERC grants, publications in leading journals) is recently chased out of Hungary by anti‐Western and antiliberal legal moves. This would certainly have a detrimental effect on Hungarian cognitive psychology for quite a time. [ABSTRACT FROM AUTHOR]

In this paper, a definition outlining the scope and goals of the field of Cognitive Aspects of Virtual Reality (cVR) is provided. Leading up to and alongside the definition, the paper includes a discussion on the background behind cVR – with a special focus on new human-AI capablities driven by cognitive, psychological, social and technological factors. Finally, the paper provides an outline of related research fields that can act as synergies in relation to cVR, while at the same time formulates questions and hypotheses that may drive future research in cVR. [ABSTRACT FROM AUTHOR]

This paper presents ideas for constructing mathematics homework assignments based on lessons from the cognitive science of learning and memory. In particular, we focus on two popular techniques from the field: spaced practice and mixed practice. The paper describes the techniques and supporting research, and then discusses various straightforward ways to incorporate them into mathematics instruction via homework assignments. The ideas presented can be applied at virtually any level of instruction and may be of interest to educators looking to implement research-based practices from cognitive science. [ABSTRACT FROM AUTHOR]

Within geography, situated, contextualised, and contingent embodiment is a central theme in non‐representational theory, mobility theories, and feminist, affective, and emotional geographies. Despite this focus on the body, engagement with the strong embodiment hypotheses emerging out of neuroscience, psychology, and philosophy has been limited to only selective theoretical borrowings with practically no attention given to the burgeoning empirical evidence of the relationship between body, mind, and environment. While the neural turn within the discipline has been acknowledged, the flow of influence is found to be largely unidirectional, where cognitive science, and the neurogovernance that stems from it, pays scant attention to the contingencies of spatial lives. At the same time, geographers have been critical of the universalising tendencies and narrow empiricism of neuroscience. This paper advocates a rapprochement between geography and neuroscience following Barad's agential realism approach. Using the geographies of ageing as a case that has relevance across the discipline, cognitive embodiments are understood as body–mind–environment assemblages that continuously co‐constitute material difference, constraint, and possibility for bodies as they age. A focus on recent studies of embodied ageing that show cognition to be both embodied and inherently spatial is used to inspire a critical neuro‐geography that rethinks ageing in place, age‐friendly cities, and age‐related public health interventions, such as those for the COVID‐19 crisis. The paper aims to inspire further critical neuro‐geographies that think through body–mind–environment assemblages and material–discursive intra‐actions without separating mind/body or nature/culture. This paper sets out a critical neuro‐geography of ageing using Barad's agential realism approach. Body–mind–environment assemblages bring together literature from geographical gerontology, environmental gerontology, and the latest findings from studies of the embodied cognition of older adults. A contextualised critical neuro‐geography has the potential to inform public health policy and the design of spaces that prolong health and well‐being not just for older persons but at all stages of the life course. [ABSTRACT FROM AUTHOR]

Introduction: The concept of schizophrenia (SCZ) was originally associated with a disorder of formal strata of the self. During the last two decades, empirical studies have demonstrated a selective hyper-aggregation of self-disorders in the SCZ spectrum. As with other scientific research areas, the role of self-disturbances in SCZ has been up for debate in various disciplines including cognitive sciences, philosophy of mind, and psychopathology. Several philosophical papers have used the psychopathological phenomena of "thought insertion" as an alleged example of a complete loss of minimal selfhood. In the field of psychopathology, it has been claimed that self-disorders may comprise a transdiagnostic phenotype. Common to these approaches is the underlying assumption that self-disorders reflect well-delineated and isolated symptoms akin to the notion of symptom in the medical model. The aim of this paper was to argue that the clinical manifestation of self-disturbances is to be seen as aspects of a Gestalt of disturbed experiential selfhood. Methods: Seven videotaped interviews of patients with SCZ who were emblematic of very diverse symptomatological constellations were selected and jointly watched and discussed by the authors, who reached a consensus assessment. The interviews were semi-structured and narrative in nature in order to obtain faithful self-descriptions according to the standards of phenomenologically oriented interviews. For the purpose of this article, we chose 4 videos from which excerpts were verbatim transcribed and translated from Danish into English. Results: The patients describe unique combinations of various psychopathological phenomena such as diminished sense of embodied self-presence, loss of ego boundaries, diminished sense of self, alienation and objectification of the experiential processes, mirror-phenomena, and Schneiderian passivity phenomena. Discussion: Through an interweaving of the four vignettes and their subsequent psychopathological discussions, we argue that the invariant commonality across the different symptomatic expressions in these patients resides in a Gestalt of pervasive disturbance of self-experience. From a phenomenological perspective, these self-disturbances target a basic structure of phenomenal consciousness, namely, the first-person givenness of experience. We conclude that self-disorders reflect a trait-instability in the most basic structures of consciousness in SCZ and that its clinical manifestations are to be seen as aspects of a particular Gestalt rather than appearing as separate and well-delineated symptoms. [ABSTRACT FROM AUTHOR]

Cognition is crucial to brain function, and accurately classifying cognitive load is essential for understanding the psychological processes across tasks. This paper innovatively combines functional near-infrared spectroscopy (fNIRS) with eye tracking technology to delve into the classification of cognitive load at the neurocognitive level. This integration overcomes the limitations of a single modality, addressing challenges such as feature selection, high dimensionality, and insufficient sample capacity. We employ fNIRS-eye tracking technology to collect neural activity and eye tracking data during various cognitive tasks, followed by preprocessing. Using the maximum relevance minimum redundancy algorithm, we extract the most relevant features and evaluate their impact on the classification task. We evaluate the classification performance by building models (naive Bayes, support vector machine, K-nearest neighbors, and random forest) and employing cross-validation. The results demonstrate the effectiveness of fNIRS-eye tracking, the maximum relevance minimum redundancy algorithm, and machine learning techniques in discriminating cognitive load levels. This study emphasizes the impact of the number of features on performance, highlighting the need for an optimal feature set to improve accuracy. These findings advance our understanding of neuroscientific features related to cognitive load, propelling neural psychology research to deeper levels and holding significant implications for future cognitive science.Graphical Abstract: Cognition is crucial to brain function, and accurately classifying cognitive load is essential for understanding the psychological processes across tasks. This paper innovatively combines functional near-infrared spectroscopy (fNIRS) with eye tracking technology to delve into the classification of cognitive load at the neurocognitive level. This integration overcomes the limitations of a single modality, addressing challenges such as feature selection, high dimensionality, and insufficient sample capacity. We employ fNIRS-eye tracking technology to collect neural activity and eye tracking data during various cognitive tasks, followed by preprocessing. Using the maximum relevance minimum redundancy algorithm, we extract the most relevant features and evaluate their impact on the classification task. We evaluate the classification performance by building models (naive Bayes, support vector machine, K-nearest neighbors, and random forest) and employing cross-validation. The results demonstrate the effectiveness of fNIRS-eye tracking, the maximum relevance minimum redundancy algorithm, and machine learning techniques in discriminating cognitive load levels. This study emphasizes the impact of the number of features on performance, highlighting the need for an optimal feature set to improve accuracy. These findings advance our understanding of neuroscientific features related to cognitive load, propelling neural psychology research to deeper levels and holding significant implications for future cognitive science. [ABSTRACT FROM AUTHOR]

The study of how speech is produced, transmitted, and perceived is a critical component in the curriculum of multiple disciplines—linguistics, communication science and disorders, cognitive science, and speech technology all rely on a fundamental understanding of speech science. Pedagogy in speech science across these disciplines has a rich history of experiential learning techniques. Despite being at the forefront of pedagogical innovations, speech science courses have lagged in terms of their representation of cultural and linguistic diversity in the classroom. Many speech scientists understand that linguistic diversity is a part of all human language systems. However, in our experience, relatively few courses involve the purposeful inclusion of multiple language varieties throughout the course across all topics. The goal of this paper is to highlight how to be more inclusive in teaching speech science. [ABSTRACT FROM AUTHOR]

In this paper, we bring together two closely related, but distinct, notions: argument and explanation. We clarify their relationship. We then provide an integrative review of relevant research on these notions, drawn both from the cognitive science and the artificial intelligence (AI) literatures. We then use this material to identify key directions for future research, indicating areas where bringing together cognitive science and AI perspectives would be mutually beneficial. This article is part of a discussion meeting issue 'Cognitive artificial intelligence'. [ABSTRACT FROM AUTHOR]

In recent decades, Functionalism has become a standard approach towards philosophy of mind and cognitive science, Functionalism is inspired by computer science and against prior theories about mind. Functionalism takes mind as a processor and body as a provider of raw data for this processor. Mind with the help of mental algorithms translates perceptional data to symbolic representations as concepts of objects and events. According to some philosophers, this leads to problems like the problem of meaning. In this paper, with an analytical approach, Embodiment is proposed as a solution to these problems. According to Embodied Mind, regarding the body as a mere machine is the root of all problems in Functionalism. Embodied mind is consisting of three pars: 1. Perception-Motor system which presents meaningful perception of objects and events to the mind. 2. Conceptualization system which unites information provided by perceptionmotor system. 3. Metaphors, processes in mind, which enable us to think and talk about everyday and mathematical concepts and meta-language. These are processes, mainly unconscious, in mind for understanding concepts. Embodied Mind rejects the idea of body as mere machine and mind as a brain processes. It also rejects symbolic representations as concepts. Concepts are simulators of objects and events, rooting in interaction between body and the world. Human as an Embodied Being exist in the world and interact with it and this is what makes sense of concepts in mind. [ABSTRACT FROM AUTHOR]

Drawing on original ethnobotanical and anthropological research among Indigenous peoples across the Amazon, we examine synergies and dissonances between Indigenous and Western scientific knowledge about the environment, resource use, and sustainability. By focusing on the sensory dimension of Indigenous engagements with the environment—an approach we have described as "sensory ecology" and explored through the method of "phytoethnography"—we promote a symmetrical dialogue between Indigenous and scientific understandings around such phenomena as animal–plant mutualisms, phytochemical toxicity, sustainable forest management in "multinatural" landscapes, and the emergence of new diseases like the novel coronavirus SARS‐CoV‐2 (COVID‐19). Drawing examples from our own and other published works, we explore the possibilities and limitations of a "parallax view" attempting to hold Indigenous and scientific knowledge in focus simultaneously. As the concept of "bioeconomy" emerges as a key alternative for sustainable development of the Amazon, we encourage a critical and urgent engagement between dominant Western conceptions and Indigenous Amazonian knowledge, practices, and cultural values. Cognitive science, which has long contributed to studies of Indigenous categorization and conceptualization of the natural world, continues to play an important role in building bridges of mutual communication and respect between Indigenous and scientific approaches to sustainability and biodiversity conservation. This paper explores the possibilities and limitations of a "parallax view" attempting to hold Indigenous and scientific knowledge in focus simultaneously in order to promote interdisciplinary and intercultural dialogue, sustainability, and biodiversity conservation. [ABSTRACT FROM AUTHOR]

Character is a central concept in virtue ethics, and therefore in a number of approaches to philosophical counseling. In this paper I summarize five practical insights from the research that went into writing a book on character and leadership, The Quest for Character: What the Story of Socrates and Alcibiades Teaches Us about Our Search for Good Leaders. The insights are derived from a study of Greco-Roman practical philosophical traditions, updated by the findings of modern research in cognitive and behavioral science. [ABSTRACT FROM AUTHOR]

In this paper, I outline a general framework for cultural analysis consistent with an "analytic" approach to explanation in social science. The proposed approach provides coherent solutions to thorny problems in cultural theory. These include providing a coherent definition of culture (and the "cultural"), specifying the nature of cultural units (both simple and complex), and outlining the processes making possible episodes of cultural genesis, transformation, and reproduction within bounded units characterized as cultural causal systems. [ABSTRACT FROM AUTHOR]

This paper focuses on the significance of the concept of noise for cognition and computation. The concept of noise was massively transformed in the twentieth century with the advent of information theory, cybernetics, and computer science, all of which provide formal accounts of information and noise centrally concerned with contingency. We show how the concept has changed from these classical formulations, through developments in mathematics (topology and topos theory), computing (interactive computing and univalent foundations), and cognitive science (predictive processing and cognitive morphodynamics). Ultimately it argues for the central importance of noise not only within a topological conception of cognition and computation, but also in the transcendental-empirical torsion of image schemata and the social interactive elaboration of freedom. [ABSTRACT FROM AUTHOR]

Around 3 million people worldwide have an arm amputation. These people face a lot of trouble in their everyday life whilst performing basic tasks. This paper proposes a novel deep learning-based approach for predicting arm movements using EEG-based signals. We plan to design and develop an active exoskeleton controlled by the same EEG-based signals to rehabilitate the amputees. The architecture design is intended to build an exoskeleton arm with at least 3 degrees of freedom that can perform complex movements and is sophisticated enough to substitute for a real arm. This prosthetic arm will be controlled using electroencephalogram (EEG) signals gathered by different devices/headsets and processed using deep learning models. The results show that our proposed approach gives excellent results. [ABSTRACT FROM AUTHOR]

Historical significance continues to be the forgotten element of history education. Without student capacity to establish what they think is important, or why they would care about certain events and people from the past, students will continue to be disinterested in the study of history. This paper draws on the results of a three-year study aimed at understanding how the Stolen Generations in Australia becomes historical significant for pre-service teachers. Rather than being disinterested in stories of the Stolen Generations, we find that these students are vitally invested in such narratives to the extent that they, on occasion, cannot bear to hear the story. While they acquire knowledge, they also resist and ignore it. Hence, we argue that neither reason or cognitive science are up to the task of resisting either the student's drive to ignore, or their assimilation of difference into the same. For history to be significant in the classroom for students, it must be understood as more than an epistemological pursuit. [ABSTRACT FROM AUTHOR]

The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials. This year's ERA conference focuses on studying the relationship humans have to their constructed social environments as well as the planet in which they inhabit and act upon through biopolitics, the ecology of humanity, and the anthropocene. The conference will bring together scholars from different fields including philosophy, psychology, sociology, anthropology, history, literature, linguistics, architecture, geography and others. This column contains descriptions of upcoming conferences and calls for papers relating to the study of time. [Extracted from the article]

Cyber-physical systems (CPSs) are seen as one of the tangible results of the convergence of advanced information technology, nanotechnology, biotechnology, cognitive science, and social science in addition to conventional systems science, engineering, and technologies. Designing next-generation cyber-physical systems (NG-CPSs) is a challenging matter for abundant reasons. It is not possible to consider all reasons and to address their interplays simultaneously in one paper. Therefore, this position paper elaborates only on a selected number of topical issues and influential factors. The author claims that the shift of the paradigm of CPSs and the uncertainty related to the paradigmatic systems features of NG-CPSs are among the primary reasons. Since the future of CPSs will be influenced strongly by their intellectualization, adaptation/evolution, and automation, these aspects are also addressed. It is argued that interaction and cooperation with NG-CPSs should be seen from a multi-dimensional perspective and that socialization of NG-CPSs needs more attention in research. The need for aggregation, management, and exploitation of the growing amount of synthetic systems knowledge produced by smart CPSs is seen by the author as an important emerging concern. [ABSTRACT FROM AUTHOR]

Advanced technologies such as drones, intelligent algorithms and androids have grave implications for human existence. With the purpose of exploring their basis for doing so, the paper proposes a framework for investigating the complex relationship between such devices and human practices and language-mediated cognition. Specifically, it centers on the importance of the typically neglected intermediate layer of culture which not only drives both technophobia and philia but also, more fundamentally, connects pre-reflective experience and socio-material practices by placing advanced technologies in the loop. Theoretically, the paper draws on contributions from performativist Science and Technology Studies and Radically Embodied Cognitive Science and pushes new grounds by stressing their compatibility. Yet, it also emphasizes the importance of the enlanguaged side of cognition which is a requirement for human-style socio-material practices and, hence, the emergence of cultures that fetishizes certain technologies. [ABSTRACT FROM AUTHOR]

Building a human-like integrative artificial cognitive system, that is, an artificial general intelligence (AGI), is the holy grail of the artificial intelligence (AI) field. Furthermore, a computational model that enables an artificial system to achieve cognitive development will be an excellent reference for brain and cognitive science. This paper describes an approach to develop a cognitive architecture by integrating elemental cognitive modules to enable the training of the modules as a whole. This approach is based on two ideas: (1) brain-inspired AI, learning human brain architecture to build human-level intelligence, and (2) a probabilistic generative model (PGM)-based cognitive architecture to develop a cognitive system for developmental robots by integrating PGMs. The proposed development framework is called a whole brain PGM (WB-PGM), which differs fundamentally from existing cognitive architectures in that it can learn continuously through a system based on sensory-motor information. In this paper, we describe the rationale for WB-PGM, the current status of PGM-based elemental cognitive modules, their relationship with the human brain, the approach to the integration of the cognitive modules, and future challenges. Our findings can serve as a reference for brain studies. As PGMs describe explicit informational relationships between variables, WB-PGM provides interpretable guidance from computational sciences to brain science. By providing such information, researchers in neuroscience can provide feedback to researchers in AI and robotics on what the current models lack with reference to the brain. Further, it can facilitate collaboration among researchers in neuro-cognitive sciences as well as AI and robotics. [ABSTRACT FROM AUTHOR]

The article introduces the latest issue of Topics in Cognitive Science, which is dedicated to excellent and award-winning research. The first topic focuses on the Fellows of the Cognitive Science Society, featuring articles by various researchers. Barbara Malt from Lehigh University has joined this exclusive group and provides an overview of her research on the relationship between language, thought, and representation. The second topic includes revised papers from the Annual Meeting of the Cognitive Science Society, and the final topic showcases the best papers from the International Conference on Cognitive Modeling. The article encourages letters, commentaries, and proposals for new topics. [Extracted from the article]

Models developed using machine learning are increasingly prevalent in scientific research. At the same time, these models are notoriously opaque. Explainable AI aims to mitigate the impact of opacity by rendering opaque models transparent. More than being just the solution to a problem, however, Explainable AI can also play an invaluable role in scientific exploration. This paper describes how post-hoc analytic techniques from Explainable AI can be used to refine target phenomena in medical science, to identify starting points for future investigations of (potentially) causal relationships, and to generate possible explanations of target phenomena in cognitive science. In this way, this paper describes how Explainable AI—over and above machine learning itself—contributes to the efficiency and scope of data-driven scientific research. [ABSTRACT FROM AUTHOR]

In this paper I reply to the four critical articles that were provided in response to my book Deconstruction (MIT Press 2021). It proceeds in four steps: (1) I begin with a reply to Stanisław Chankowski’s use of the psychoanalytic term “fetishistic denial” to describe the formal character of the text. (2) I then engage with the criticism supplied by Piotr Kozak, who questions deconstruction’s theory of truth (or its lack thereof). (3) From this, I take-up and respond to Przemysław Nowakowski’s proposal that deconstruction might provide a way to reimagine the interdisciplinarity of cognitive science. And (4) I conclude with a response to Michał Piekarski’s mashup of Ludwig Wittgenstein and Jacques Derrida, which supplies a reading of these two thinkers that is arguably greater than the sum of the parts. The objective of the reply is not to offer a defense of myself or my text but to engage with these interesting and insightful reviews in a way that opens the space for productive dialogue. [ABSTRACT FROM AUTHOR]

Recent years have seen a Bayesian revolution in cognitive science. In this paper, I work out the implications of this revolution for the metaphysics of mind. My central claim is that the Bayesian approach supports a novel empirical argument for normativism, the thesis that belief has a rational normative essence. The argument I develop draws in part on the causal powers subset account of realization, with the connection being that Bayesians often appeal to Marr's framework of levels of analysis, which carries with it multiple realizability claims that can be understood in terms of the subset model. [ABSTRACT FROM AUTHOR]

Enactivism advances an understanding of cognition rooted in the dynamic interaction between an embodied agent and their environment, whilst new mechanism suggests that cognition is explained by uncovering the organised components underlying cognitive capacities. On the face of it, the mechanistic model's emphasis on localisable and decomposable mechanisms, often neural in nature, runs contrary to the enactivist ethos. Despite appearances, this paper argues that mechanistic explanations of cognition, being neither narrow nor reductive, and compatible with plausible iterations of ideas like emergence and downward causation, are congruent with enactivism. Attention to enactivist ideas, moreover, may serve as a heuristic for mechanistic investigations of cognition. Nevertheless, I show how enactivism and approaches that prioritise mechanistic modelling may diverge in starting assumptions about the nature of cognitive phenomena, such as where the constitutive boundaries of cognition lie. [ABSTRACT FROM AUTHOR]

Predictive processing (PP) and embodied cognition (EC) have emerged as two influential approaches within cognitive science in recent years. Not only have PP and EC been heralded as "revolutions" and "paradigm shifts" but they have motivated a number of new and interesting areas of research. This has prompted some to wonder how compatible the two views might be. This paper looks to weigh in on the issue of PP-EC compatibility. After outlining two recent proposals, I argue that further clarity can be achieved on the issue by considering a model of scientific progress. Specifically, I suggest that Larry Laudan's "problem solving model" can provide important insights into a number of outstanding challenges that face existing accounts of PP-EC compatibility. I conclude by outlining additional implications of the problem solving model for PP and EC more generally. [ABSTRACT FROM AUTHOR]

Many central creedal statements in Christianity presuppose the existence of a substantial self, even though Christian tradition has not always explicitly used this terminology. However, in contemporary philosophy, the traditional Christian view has been charged with empirical inadequacy, an objection often motivated by neuroscientific considerations. In this paper, I examine the empirical adequacy of the traditional Christian view from a phenomenological perspective and from emerging contemporary cognitive scientific perspectives that downplay or de-emphasize the brain's role in cognition. I argue that neither perspective supports fatal objections to the traditional view and I explain how the traditional Christian view of the self can be synthesized with some novel philosophical developments that suggest the continued relevance of the view. [ABSTRACT FROM AUTHOR]

Collective memory researchers predominantly in the cultural and social sciences have commonly understood the concept of collective memory as a mere metaphor, as something not existing in itself as memory but useful only as a tool for referring to the way groups construct shared representations of their past. Few have however addressed the question of whether it is a metaphor or literal in its own right. This paper looks at the plausibility of the claim that collective memory is a mere metaphor by probing its presuppositions, where the representationalist theory of mind emerges as the ground for such a claim. Then appealing to the externalist model of the mind championed in recent studies of mind in disciplines as varied as philosophy, cognitive science, evolutionary biology, and collective intentionality studies, we try to expose the presuppositions of that claim, opening up possibilities for conceiving collective memory as not merely metaphorical but literal and naturally existing as memory. [ABSTRACT FROM AUTHOR]

The terms "extended cognition" and the "extended mind" identify two strands of philosophical argument that are commonly subsumed under the general heading of active externalism. The present paper describes an integrated approach to understanding extended cognition and the extended mind—one that papers over the differences between these two, ostensibly distinct, forms of cognitive extension. As an added bonus, the paper describes how active externalism might be applied to the realm of non-cognitive phenomena, thereby yielding an expansion in the theoretical and empirical scope of the active externalist enterprise. Both these points of progress stem from what is called the dispositional hypothesis. According to the dispositional hypothesis, extended cognition occurs when the mechanisms responsible for the manifestation of dispositional properties include components that lie beyond the borders of the thing to which the dispositional properties are ascribed. • A clearer explication of active externalist theses is required. • According to the dispositional hypothesis, cognitive extension occurs when the mechanisms responsible for the manifestation of dispositional properties extend beyond the borders of the entity to which dispositional properties are ascribed. • A consideration of dispositional properties provides the basis for a unified approach to understanding extended cognition and the extended mind. • Active externalism can be applied to phenomena that do not fall within the empirical orbit of cognitive science. [ABSTRACT FROM AUTHOR]

This paper discusses adapting Churches' approach to large-scale teacher/researcher conceptual replications of major "science of learning" findings, to increase teachers' engagement with empirical research on, and building research networks for, gathering data on the science of learning. The project here demonstrated the feasibility of teacher-led randomised controlled trials for conceptually replicating the effects of cognitive science on learning, as specified by researchers. It also indicated high levels of interest by teachers in applying more science of learning in their practice. The approach gave freedom to teachers to design interventions, choose research methods, and measure outcomes, even though such freedom would be in tension with some scientific research which relies on constraining the sources of variation. This paper discusses how a balance can be struck between the objectives of teachers and researchers engaged in replicating cognitive science findings, and promoting teacher engagement in conceptual replication research. [ABSTRACT FROM AUTHOR]

With the rise of artificial intelligence (AI) and the desire to ensure that such machines work well with humans, it is essential for AI systems to actively model their human teammates, a capability referred to as Machine Theory of Mind (MToM). In this paper, we introduce the inner loop of human–machine teaming expressed as communication with MToM capability. We present three different approaches to MToM: (1) constructing models of human inference with well‐validated psychological theories and empirical measurements; (2) modeling human as a copy of the AI; and (3) incorporating well‐documented domain knowledge about human behavior into the above two approaches. We offer a formal language for machine communication and MToM, where each term has a clear mechanistic interpretation. We exemplify the overarching formalism and the specific approaches in two concrete example scenarios. Related work that demonstrates these approaches is highlighted along the way. The formalism, examples, and empirical support provide a holistic picture of the inner loop of human–machine teaming as a foundational building block of collective human–machine intelligence. [ABSTRACT FROM AUTHOR]

Researchers increasingly explore deploying brain–computer interfaces (BCIs) for able-bodied users, with the motivation of accessing mental states more directly than allowed by existing body-mediated interaction. This motivation seems to contradict the long-standing HCI emphasis on embodiment, namely the general claim that the body is crucial for cognition. This paper addresses this apparent contradiction through a review of insights from embodied cognition and interaction. We first critically examine the recent interest in BCIs and identify the extent cognition in the brain is integrated with the wider body as a central concern for research. We then define the implications of an integrated view of cognition for interface design and evaluation. A counterintuitive conclusion we draw is that embodiment per se should not imply a preference for body-mediated interaction over BCIs. It can instead guide research by 1) providing body-grounded explanations for BCI performance, 2) proposing evaluation considerations that are neglected in modular views of cognition, and 3) through the direct transfer of its design insights to BCIs. We finally reflect on HCI’s understanding of embodiment and identify the neural dimension of embodiment as hitherto overlooked. [ABSTRACT FROM AUTHOR]

Three special issues of Entropy journal have been dedicated to the topics of "Information-Processing and Embodied, Embedded, Enactive Cognition". They addressed morphological computing, cognitive agency, and the evolution of cognition. The contributions show the diversity of views present in the research community on the topic of computation and its relation to cognition. This paper is an attempt to elucidate current debates on computation that are central to cognitive science. It is written in the form of a dialog between two authors representing two opposed positions regarding the issue of what computation is and could be, and how it can be related to cognition. Given the different backgrounds of the two researchers, which span physics, philosophy of computing and information, cognitive science, and philosophy, we found the discussions in the form of Socratic dialogue appropriate for this multidisciplinary/cross-disciplinary conceptual analysis. We proceed as follows. First, the proponent (GDC) introduces the info-computational framework as a naturalistic model of embodied, embedded, and enacted cognition. Next, objections are raised by the critic (MM) from the point of view of the new mechanistic approach to explanation. Subsequently, the proponent and the critic provide their replies. The conclusion is that there is a fundamental role for computation, understood as information processing, in the understanding of embodied cognition. [ABSTRACT FROM AUTHOR]

This paper explores current and hypothetical implementations of machine learning in the creation and marketing of cultural commodities such as music. Building on Adorno and Horkheimer's critique of the culture industry, this article considers the role of machine learning and artificial intelligence as a force for stylistic standardization and further consolidation of economic power in music and art. [ABSTRACT FROM AUTHOR]

About three decades ago, AI theory underwent a sharp turn as a consequence of criticism that pointed out the problem of externalism in the cognitivist position. Hubert Dreyfus, undoubtedly the main exponent of this criticism, opened the possibility of a Heideggerian reading using the frame problem to bring to light obscurities that otherwise would have been very difficult to detect. However, the question still remains of whether or not Heidegger's philosophy can serve as the source of a positive contribution to AI. In this paper, we argue that in the small measure in which such a task has been attempted, its orientation has been hampered by the omission of what, for Heidegger, was the central issue to be pondered: the question for being and the ontological difference. To propose a possible direction in which AI can be headed as a consequence of this novel perspective, we undertake a brief and schematic review of two published projects suggesting that they both manage to avoid the frame problem and also bear this Heideggerian outlook. [ABSTRACT FROM AUTHOR]

Mobility is the engine of our society in the third millennium. Rapid technical development makes it possible to increase cognitive ability in various fields; mobility is one of the most affected. Mobility has become a multidimensional concept in our interpretation; in addition to transportation, it also appears in the digital space, among other dimensions. The 21st century has brought unprecedented challenges, such as the covid-19 virus and the Russian war in Ukraine. These highlight bottlenecks in mobility systems and prompted us to explore the concept of cognitive mobility. This paper intends to refine the CogMob approach, which co-manages human and machine capabilities in mobility. New achievements within CogMob's domain match the new challenges of war and viruses. This article aims to outline the field of cognitive mobility. It presents CogMob's definition and examples that clarify the combinations of cognitive levels of different mobilities. [ABSTRACT FROM AUTHOR]

Mental representations remain the central posits of psychology after many decades of scrutiny. However, there is no consensus about the representational format(s) of biological cognition. This paper provides a survey of evidence from computational cognitive psychology, perceptual psychology, developmental psychology, comparative psychology, and social psychology, and concludes that one type of format that routinely crops up is the language-of-thought (LoT). We outline six core properties of LoTs: (i) discrete constituents; (ii) role-filler independence; (iii) predicate–argument structure; (iv) logical operators; (v) inferential promiscuity; and (vi) abstract content. These properties cluster together throughout cognitive science. Bayesian computational modeling, compositional features of object perception, complex infant and animal reasoning, and automatic, intuitive cognition in adults all implicate LoT-like structures. Instead of regarding LoT as a relic of the previous century, researchers in cognitive science and philosophy-of-mind must take seriously the explanatory breadth of LoT-based architectures. We grant that the mind may harbor many formats and architectures, including iconic and associative structures as well as deep-neural-network-like architectures. However, as computational/representational approaches to the mind continue to advance, classical compositional symbolic structures – that is, LoTs – only prove more flexible and well-supported over time. [ABSTRACT FROM AUTHOR]

Odontocetes, or 'toothed whales', have a complex brain structure and possess rationality, self-awareness, sociability and culture. Cognitive science and modern theories of personhood challenge the notion that humans alone are moral persons. This paper reviews evidence from the cognitive science literature relevant to moral personhood in bottlenose dolphins, orcas, and beluga whales. It applies theories of personhood of Peter Singer, David DeGrazia, and Steven Wise, and finds that odontocetes fulfil criteria to be granted at least borderline personhood. The legal implications of attributing personhood to dolphins remains uncertain. Recognition of dolphin personhood may lead to fundamental legal rights against capture, captivity, and killing; alternatively, the courts may continue to restrict legal personhood and associated protections to human beings. Finally, despite the major influence of personhood on morality and law in the West, the biologically more widespread quality of sentience is sufficient for greater moral considerability and legal protections for nonhuman species. [ABSTRACT FROM AUTHOR]

The paper initially develops the semi-Jordan curve theorem on the digital plane with the Marcus-Wyse topology, i.e., M W -topological plane or ( Z 2 , γ) for brevity. We first prove that while every simple closed M W -curve is semi-open in ( Z 2 , γ) , it may not be semi-closed. Given a simple closed M W -curve with l elements, denoted by S C γ l , after establishing a continuous analog of S C γ l denoted by A (S C γ l) , we initially show that A (S C γ l) is both semi-open and semi-closed in ( R 2 , U) , where ( R 2 , U) is the 2 -dimensional real plane R 2 with the usual topology U . Furthermore, we find a condition for A (S C γ l) to separate ( R 2 , U) into exactly two non-empty components, compared to a typical Jordan curve theorem on ( R 2 , U). Since not every S C γ l always separates ( Z 2 , γ) into two nonempty components, we find a condition for S C γ l , l ≠ 4 , to separate ( Z 2 , γ) into exactly two components. The semi-Jordan curve theorem on the M W -topological plane plays an important role in applied topology such as digital topology, mathematical morphology as well as computer science. [ABSTRACT FROM AUTHOR]

Categorical perception (CP) is likely the single finding from speech perception with the biggest impact on cognitive science. However, within speech perception, it is widely known to be an artifact of task demands. CP is empirically defined as a relationship between phoneme identification and discrimination. As discrimination tasks do not appear to require categorization, this was thought to support the claim that listeners perceive speech solely in terms of linguistic categories. However, 50 years of work using discrimination tasks, priming, the visual world paradigm, and event related potentials has rejected the strongest forms of CP and provided little strong evidence for any form of it. This paper reviews the origins and impact of this scientific meme and the work challenging it. It discusses work showing that the encoding of auditory input is largely continuous, not categorical, and describes the modern theoretical synthesis in which listeners preserve fine-grained detail to enable more flexible processing. This synthesis is fundamentally inconsistent with CP. This leads to a different understanding of how to use and interpret the most basic paradigms in speech perception—phoneme identification along a continuum—and has implications for understanding language and hearing disorders, development, and multilingualism. [ABSTRACT FROM AUTHOR]

Chinese allows both gapped and gapless topic constructions without their usage being restricted to specific contexts, while English only allows gapped topic constructions which are used in certain contexts. In other words, Chinese uses 'topic prominence', whereas English does not. The contrast between English and Chinese topic constructions poses a learnability problem for Chinese learners of English. This paper uses an empirical study investigating first language (L1) transfer in the case of Chinese learners of English and the extent to which they are able to unlearn topic prominence as they progress in second language (L2) English. Results of an acceptability judgment test indicate that Chinese learners of English initially transfer Chinese topic prominence into their English, then gradually unlearn Chinese topic prominence as their English proficiency improves, and finally unlearn Chinese topic prominence successfully. The results support the Full Transfer Theory (Schwartz, Bonnie & Rex Sprouse. 1996. L2 cognitive states and the Full Transfer/Full Access model. Second Language Research 12. 40–72) and the Variational Learning Model (Yang, Charles. 2004. Universal Grammar, statistics or both? Trends in Cognitive Sciences 8. 451–456), but contradict the proposal that the topic prominence can never be transferred but may be unlearned from the beginning in Chinese speakers' acquisition of English (Zheng, Chao. 2001. Nominal Constructions Beyond IP and Their Initial Restructuring in L2 Acquisition. Guangzhou: Guangdong University of Foreign Studies Ph.D. dissertation). In addition, the type of topic constructions that is used and whether or not a comma is added after the topic have an effect on learners' transfer and unlearning of topic prominence. It is proposed that the specification of Agr(eement) and T(ense) as well as the presence of expletive subjects in English input can trigger the unlearning of topic prominence for Chinese learners of English. [ABSTRACT FROM AUTHOR]

• Provides a framework combining deep learning with brain-like innate structures. • Introduces time-dependent interactions into Transformer to model emotional coherence. • Embeds a gating mechanism to identify the distinctions of different modalities. Multimodal sentiment analysis and emotion recognition has become an increasingly popular research area, where the biggest challenge is to efficiently fuse the input information from different modality. The recent success is largely credited to the attention-based models, e.g., transformer and its variants. However, the attention-based mechanism often neglects the coherency of human emotion due to its parallel structure. Inspired by the emotional arousal model in cognitive science, a Deep Emotional Arousal Network (DEAN) that is capable of simulating the emotional coherence is proposed in this paper, which incorporates the time dependence into the parallel structure of transformer. The proposed DEAN model consists of three components, i.e., a cross-modal transformer is devised to simulate the functions of perception analysis system of humans; a multimodal BiLSTM system is developed to imitate the cognitive comparator, and a multimodal gating block is introduced to mimic the activation mechanism in human emotional arousal model. We perform extensive comparison and ablation studies on three benchmarks for multimodal sentiment analysis and emotion recognition. The empirical results indicate that DEAN achieves state-of-the-art performance, and useful insights are derived from the results. [ABSTRACT FROM AUTHOR]

The article discusses the evolving perspective in cognitive science towards understanding how individual cognition is connected to collective efforts and cultural evolution. The editors of the journal issue, Steven A. Sloman and Nathaniel Rabb, have compiled a collection of papers that explore how cognitive processes and functions, such as memory and problem-solving, are influenced by and shape group coordination. The article emphasizes the importance of cumulative culture and language in human uniqueness and highlights the shift in cognitive science towards studying the organization and distribution of knowledge. The introduction to the journal issue is described as thrilling, captivating, and thought-provoking. [Extracted from the article]

Cognitive science of religion is sometimes portrayed as having no bearing on the theological doctrines of particular religious traditions, such as Christianity. In this paper, I argue that the naturalistic account of the etiology of religious beliefs offered by the cognitive science of religion undermines the important Christian doctrine of the grace of faith, which teaches that the special gift of divine grace is a necessary precondition for coming to faith. This has some far-reaching ramifications for Christian theology. [ABSTRACT FROM AUTHOR]