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Digital games are one of the most engaging forms of media. Players can have a first-hand experience and the possibility of feeling immersed within a digital setting where agency is exerted. This paper seeks to understand the role of digital games as new means of communication and their potential to convey messages that may defy gamers to question the moral grand narratives that shape contemporary societies. In a moment when many countries have opted to close or limit the circulation in their borders, it is important to think about the role played by the border as a historic liminal entity for the representation of societies and communities, distinguishing those who belong from those who do not. The representation of the border in digital games have tended to follow one of the main tropes explored in other media: the border as a physical space that set boundaries between different nations and different regions of the world. In order to assert the potential of digital games to offer a more comprehensive representation of the border as a liminal space, the case of Papers, Please! (2013) will be analyzed. Based on a qualitative methodology, having content analysis as primary data collection method, the paper intends to contribute to the discussion on how history may narrativized and, eventually, reinterpreted in digital games. Papers, Please! analysis will be centered on the relationship that is set between player and border, that is presented as a liminal space where the game's action takes places entirely. Moreover, the paper intends to discuss the role that has been played by digital games in the representation of serious topics and how they have evolved as communication tools beyond their role as entertainment products. [ABSTRACT FROM AUTHOR]

As members of a social species, we spend most of our time interacting with others. In interactions, we tend to mutually align our behavior and brain responses to communicate more effectively. In a semi-computerized version of the Rock-Paper-Scissors game, we investigated whether people show enhanced interpersonal neural synchronization when making explicit predictions about others' actions. Across four experimental conditions, we measured the dynamic brain activity using the functional near-infrared spectroscopy (fNIRS) hyperscanning method. Results showed that interpersonal neural synchrony was enhanced when participants played the game together as they would do in real life in comparison to when they played the game on their own. We found no evidence of increased neural synchrony when participants made explicit predictions about others' actions. Hence, neural synchrony may depend on mutual natural interaction rather than an explicit prediction strategy. This study is important, as it examines one of the presumed functions of neural synchronization namely facilitating predictions. [ABSTRACT FROM AUTHOR]

Parts of this contributing article for educators was taken from a presentation given on December 1, 2022, by Dr. Patrice J. Pinder in collaboration with the University of the West Indies' (UWI) Mona Faculty of Science and Technology who hosted a UNESCO sponsored Disaster Heritage Webinar, i.e., Disaster heritage -- Jamaica National Commission for UNESCO (jncunesco.gov.jm). The webinar presentation focused specifically on natural disasters such as catastrophic storms or hurricanes like the powerful Category 5 Storm--Hurricane Dorian, which hit the Bahamas' northern islands of Abaco and Grand Bahama on September 1, 2019. Hurricane Dorian caused major damages to homes and properties, and resulted in loss of lives. The presentation and this current paper were developed as educational advisory guides to give teachers and other education professionals ideas on how to help young children to cope after natural disasters. Thus, it is important for teachers to help young children (students) to undergo various coping mechanisms in order to build resilience. Using stories/storytelling sessions, games, and comic sketches are some of the suggested tools and strategies that can be used with young children to help them better cope after psychologically disturbing events like the Bahamas' Hurricane Dorian.

Collaborative worldbuilding is an ideal digital writing project for promoting critical thinking about contemporary issues, developing and applying disciplinary expertise writing transfer, and building digital literacies. In the context of the global COVID-19 pandemic where the student experience was characterised by isolation, collaborative worldbuilding also offered a powerful means of building solidarity and community. This paper presents a case study of using collaborative worldbuilding for gaming to achieve key digital writing learning outcomes. The case study shows how this innovative pedagogical approach can be mapped to two key frameworks for information and digital literacies: the Digital Competence Framework for Citizens and the Framework for Information Literacy in Higher Education of the Association of College and Research Libraries. The case study also illustrates how a MediaWiki installation can be used for worldbuilding and as a means of critically introducing students to Wikipedia itself. Qualitative feedback from the students shows that the class achieved its key learning outcomes. More importantly, student engagement during the class and their feedback ascertains that collaborative worldbuilding is a powerful means of building connections and empathy between students in the context of isolation, amid a global pandemic.

This paper analyzes the relationship between proportional reasoning and understanding fair games in Costa Rican students. We conducted a quantitative and qualitative analysis of the answers to six items on comparing ratios of increasing difficulty level and another item on prize estimation in a fair game. We describe the strategies employed and the semiotic conflicts detected in 292 Costa Rican students from Grades 6 to 10 (11-16-year-olds), comparing the findings with those established in previous research. The results show an increase in the level of proportional reasoning with the grade, although the age at which the higher levels are reached is lower than that assumed by Noelting. The percentage of students applying correct strategies in the fair game problem also increases with grade, and a relationship between the understanding of fair game and the level of proportional reasoning is observed.

Project-based learning is an effective method for students' learning design. For the "Graphic Design for Interactive Entertainment" elective course, the author uses project-based learning to teach UI and UX design to Universitas Pelita Harapan's Visual Communication Design Department students. For the project, the author designed a game mechanic. The students of the course later designed visuals for the game. One game that resulted from this project was "Pro Pickpockets", a game about a group of pickpockets competing to collect valuable prizes for the best pickpockets. This paper elaborates on the design case of Pro Pickpockets as a design project and project-based learning for students in learning UI and UX.

Much literature exists for rock-paper-scissors (RPS) game. It is well known in a single habitat that spatial models are more stable than well-mixed population. However, the mechanism of spatial stabilization has been unclear. In the present article, we study multilayer model of RPS game in a patchy environment; respective patches are set as lattices. The predation probability of one of three species is assumed to be reduced as a parameter. Simulations on two-layer system reveal the opposite result to those on a single-habitat system. Namely, the well-mixed population becomes stable. In contrast, extinction occurs by random migration in spatially-explicit model, when the reduced predation probability is below a certain critical value. The extinction in spatial model is found to be caused by the collapse of a kind of swarm intelligence (SI). In RPS system, large swarms of each species are automatically protected from its predator. Such a self-organized protection is one of the simplest examples of SI. We also discuss some serious problems for random migration. • Spatial pattern of rock, paper and scissors are studied in patchy environment. • A distinct point of the present paper is to set lattices as respective patches. • We illustrate that biodiversity is sustained by a kind of "swarm intelligence". • Large swarms of each species are automatically protected from its predator. [ABSTRACT FROM AUTHOR]

Design Thinking (DT) is not merely a well-known design methodology but also an entire mindset towards solving complex societal problems in an innovative way. Its popularity in diverse disciplines beyond design, is due to its relation with the development of key 21st-century skills, such as creativity, critical thinking, collaboration and communication. Teaching the DT mindset has always required methods different from the traditional, one-way, mainly teacher-led approaches in which students play a more passive role in the learning process. Such creative methods include constructivist teaching practices, such as learning-by-doing and learning-by-making. Game modding, which is defined as the modification of existing games, is also seen as a constructivist teaching approach since in this way students learn by designing a game. The experience is argued to increase the engagement and interaction of players with the game, and combine the roles of player and designer. However, using game modding to teach the DT mindset remains poorly researched. This paper discusses the outcomes of a pilot study developed in the scope of the in-progress Erasmus+ KA2 project 'T-CREPE' (Textile Engineering for Co-Creation Paradigms in Education). This study investigates the influence of game modding on students' adoption of the DT mindset through the use of an online learning platform that enables a game modding experience. This platform includes games that students can play, modify, and/or design their own in the process of developing a project. Students (n = 240) and teachers (n = 9) from three higher education institutions in Belgium and Greece participated in this study. The quantitative and qualitative data collected has provided information on their experiences of game modding while cultivating a DT mindset. The findings of the study indicate that game modding enables students to practise critical questioning, constructionism and co-creation, which are core elements of the DT mindset.

This paper examines peer interactions among preschoolers while playing the board game known as "Buaya di Bawah Jambatan" (BDBJ) particularly in learning "adab" and moral values. Additionally, this study is guided by two research objectives focusing on the nature (types) of interactions among players during the game and suggestions or responses from the instructors on the game including its physical outlook and processes. This research embarked upon a qualitative study where 4, 5 to 6 years old children attending a pre-school in Shah Alam were observed when playing 'Buaya di Bawah Jambatan'. The sample was basically a group made up of 2 boys & 2 girls. The teacher assigned for the group became the instructor facilitating the whole process of playing the game. Data collected was mainly from the non-participant observations made by the researchers when the game was played. Video recordings too were made to capture the interactions observed during the whole session. Analysis were made both on the initial observation and the subsequent observations done on the recorded videos. The findings of this research revealed three major themes on peer interactions which include: (1) learning to be with peers; (2) developing creative thinking and problem solving; and (3) humour and laughter. The study also found that suggestions or responses from the instructor comprises both areas of improvements and strengths of the game. These findings are crucial to help teacher-educators to enhance their pedagogical skills and knowledge, particularly on learning "adab" and moral values in more fun, engaging and meaningful ways. Hence, learning "adab" and moral values among children should be more dynamic and relevant to children's lives rather than applying solely on conventional approaches. It is hoped that this study opens more opportunities, insights, and ideas for other researchers to study peer interactions and its relations to games and learning "adab" with children in other populations such as among the marginalized community and B40 group as well as children with Special Educational Needs (SEN).

Purpose: The primary purpose of this paper is to provide an analysis of the key perspectives that emerge in this Accounting, Auditing & Accountability Journal (AAAJ) Special Issue as a basis for determining the existence or otherwise of a Soccer Society, as well as reflecting on the challenges that evidence of corruption in soccer (the beautiful game) has had on the game to date. Reflections on these matters are then utilised to offer a prospective analysis of issues for further research. Design/methodology/approach: The paper is a reflective analysis that draws on existing societal work to provide key dimensions of accounting and accountability for significant organisations in the world of sport in general and soccer in particular. Findings: Much prior research on soccer has largely focussed on the internal workings of soccer organisations, with little discussion of the importance of context. This paper explores the influence of the game more broadly. Moreover, a number of the papers included illustrate an overwhelming sense of joy and pleasure from experiences of the beautiful game, as well as providing evidence of the general societal good that can flow from it. However, the study also highlights concerns emanating from weak, and seemingly pliable, governance, regulatory and accountability regimes that provide a fertile field for corruption and sportswashing. Research limitations/implications: This paper highlights a research agenda as an encouragement to interdisciplinary accounting researchers to investigate accountability and governance issues as a basis for evidence-based discussions of the impact of soccer and its regulation. Originality/value: This paper specifically, and the Special Issue more broadly, offers a set of original empirical and theoretical contributions with respect to an activity that has faced limited scrutiny and consideration by academic accountants. Together, they offer a substantive body of work to enable future research in this area. [ABSTRACT FROM AUTHOR]

Meaningful learning occurs when individuals connect their existing knowledge with their current understanding. Unfortunately, many teaching practices neglect the learners' subconscious knowledge, also known as their "funds of knowledge." The result is a disconnect between school and home knowledge, social injustice towards students whose parents lack formal education, and frustration among learners. In this paper, we argue that mathematical concepts found in cultural games can teach children in grades 4-6 mathematics in Ghana. By describing math-rich games from Ghanaian culture and showing where they fit into the curriculum, we aim to provide teachers with examples of incorporating cultural games into their instruction. Our project emphasizes the importance of using games to enhance teacher pedagogy by blending established teaching methods with innovative strategies incorporating artistic games.

In the context of constructing regional education and talent hub, Macao's higher education talent development strategy impacts the creation of a regional talent hub and the process of industrial diversification. This study adopts a text analysis approach. Through the analysis of 118 texts and the construction of the game model, it reveals that Macao's talent development has been passing through a "market-controlled" and "policy-driven" stage due to the uniqueness of economic and social development. The model of cooperative game based on endosymbiosis implicates that the talent attraction strategy of higher education can play a leading role in socio-economic development to form a cooperative and symbiotic equilibrium with the region as a whole through the "climbing period" when the "actual state" catches up with the "expected value." This paper proposes some policy recommendations, including: prospective discipline layout, breaking down of institutional barriers, cooperation and exchange of talent cultivation, and the creation of a talent-sharing mechanism for promoting the construction of a regional talent hub.

In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represent a useful and underexplored source to validate, complement, and enhance cognitive studies on human behavior and language use. We present a method that leverages the recent development of powerful computational models to obtain the fine-grained annotation required to apply metrics and techniques from Cognitive Science to large datasets. Previous work in Cognitive Science has investigated the question-asking strategies of human participants by employing different variants of the so-called 20-question-game setting and proposing several evaluation methods. In our work, we focus on GuessWhat, a task proposed within the Computer Vision and Natural Language Processing communities that is similar in structure to the 20-question-game setting. Crucially, the GuessWhat dataset contains tens of thousands of dialogues based on real-world images, making it a suitable setting to investigate the question-asking strategies of human players on a large scale and in a natural setting. Our results demonstrate the effectiveness of computational tools to automatically code how the hypothesis space changes throughout the dialogue in complex visual scenes. On the one hand, we confirm findings from previous work on smaller and more controlled settings. On the other hand, our analyses allow us to highlight the presence of "uninformative" questions (in terms of Expected Information Gain) at specific rounds of the dialogue. We hypothesize that these questions fulfill pragmatic constraints that are exploited by human players to solve visual tasks in complex scenes successfully. Our work illustrates a method that brings together efforts and findings from different disciplines to gain a better understanding of human question-asking strategies on large-scale datasets, while at the same time posing new questions about the development of conversational systems.

Games have been designed to be challenging and fun for humans to play, so we can test the AI system against the best human players in the world to quantify how good our AI systems are getting to be. We went from there to AlphaGo, which was our AI system to master the ancient and complex game of Go. DeepMind: From Games to Scientific Discovery: This paper is an edited version of Demis Hassabis' 2021 IRI Medal talk. He discussed his personal AI journey - from games to scientific discovery, some of his breakthrough results in complex games of strategy, and some of the exciting ways that lessons from the world of games are helping to accelerate scientific discovery. [Extracted from the article]

Sequential recommendations aim to predict users' next interactions by modeling their interaction sequences. Most existing work concentrates on user preferences within these sequences, overlooking the complex item relationships across sequences. Additionally, these studies often fail to address the diversity of user interests, thus not capturing their varied latent preferences effectively. To tackle these problems, this paper develops a novel recommendation algorithm based on hypergraphs and contrastive learning named HyperCLR. It dynamically incorporates the time and location embeddings of items to model high-order relationships in user preferences. Moreover, we developed a graph construction approach named IFDG, which utilizes global item visit frequencies and spatial distances to discern item relevancy. By sampling subgraphs from IFDG, HyperCLR can align the representations of identical interaction sequences closely while distinguishing them from the broader global context on IFDG. This approach enhances the accuracy of sequential recommendations. Furthermore, a gating mechanism is designed to tailor the global context information to individual user preferences. Extensive experiments on Taobao, Books and Games datasets have shown that HyperCLR consistently surpasses baselines, demonstrating the effectiveness of the method. In particular, in comparison to the best baseline methods, HyperCLR demonstrated a 29.1% improvement in performance on the Taobao dataset. [ABSTRACT FROM AUTHOR]

This paper investigates how psychological needs spurring self-determined motivation relate to collective efficacy for flourishing in online learning communities. Self-determination theory posits individuals experience intrinsic motivation to flourish at educational tasks because of targeted satisfaction of the three psychological needs: autonomy, relatedness, and competence. However, studies conducted to investigate collective, technology-assisted learning processes suggest competence and relatedness may play a pivotal role in online community engagement and knowledge-sharing. Moreover, informal gaming experiences may mirror the collaborative skills needed in online educational/professional communities. These insights suggest confidence in one's abilities to contribute to a community, the perception of a strong, supportive social culture in the online classroom, and informal online experiences may lead to self-determined motivation enabling agents in distributed, technology-assisted classrooms to collectively flourish. Little work has been done to examine effects of need satisfaction on collective efficacy in using online technologies. To fill this research gap, we used structural equation modelling to investigate perceptions of 636 undergraduate students enrolled in classes within an education department at a midwestern university employing weekly asynchronous blogging. Our results suggest students' experience with multiplayer gaming, and need satisfaction towards competence and relatedness correlate with higher collective efficacy in technology-assisted classrooms employing discussion forums.

This paper analyzes the existence of Nash equilibrium in a discrete-time Markov stopping game with two players. At each decision point, Player II is faced with the choice of either ending the game and thus granting Player I a final reward or letting the game continue. In the latter case, Player I performs an action that affects transitions and receives a running reward from Player II. We assume that Player I has a constant and non-zero risk sensitivity coefficient, while Player II strives to minimize the utility of Player I. The effectiveness of decision strategies was measured by the risk-sensitive expected total reward of Player I. Exploiting mild continuity-compactness conditions and communication-ergodicity properties, we found that the value function of the game is described as a single fixed point of the equilibrium operator, determining a Nash equilibrium. In addition, we provide an illustrative example in which our assumptions hold. [ABSTRACT FROM AUTHOR]

This paper addresses the challenge of assessing relatedness and functional interdependence through connecting passes within invasion games, which may offer valuable pedagogical insights into gameplay for accessibility and inclusiveness. Hence, the purpose of this paper is twofold. Firstly, it presents preliminary work on the methodology for computing open passing lanes and derived metrics, integrating spatiotemporal data analysis with event data. Secondly, using a within-subject design, it investigates how modified handball games influence game play opportunities. Data were collected during handball matches in a pre-teens Physical Education (PE) class with mixed-skill-level teams. Game actions (e.g., passes, receptions, and shots) were manually recorded through systematic observation of video footage, while players' positional data were captured with ultra-wideband technology. Findings provide evidence that employing a numerical advantage (one player up) enhances overall opportunities for individual attacking actions (i.e., more passing, catching actions, and goal-scoring opportunities) and relational actions (i.e., more open passing lanes) compared to equal numbers. Conversely, equal numbers with individual marking appeared more challenging, as fewer secure passing lanes were observed, and the ball possessor spent more time with the ball before releasing it. The developed approach holds promise for studying designed games to enhance inclusion and learning opportunities for all. [ABSTRACT FROM AUTHOR]

What causes mobile gamers to be unwilling to spend money on in-app purchases (IAP)? This paper answers this question in two studies. The first study develops and validates the new construct of perceived aggressive monetization (PAM). The second study tests the proposed model with a total sample of 527 US and 526 Australian mobile gamers. The result shows a separate decision mechanism between conversion (i.e., to spend money or not) and the spending size (i.e., how much money to spend). PAM increases users' likelihood of spending nothing on IAP, while perceived fairness decreases that likelihood. However, neither influences how much money the users spend once they decide to spend money. The users' Willingness to Spend and the Time-spent playing the game explained both the conversion and the spending size. There is also a significant interaction between willingness to spend and self-control in explaining the size of spending. [ABSTRACT FROM AUTHOR]

The literature on strategic ambiguity in classical games provides generalized notions of equilibrium in which each player best responds to ambiguous or imprecise beliefs about his opponents' strategic choices. In a recent paper, strategic ambiguity has been extended to psychological games, by taking into account ambiguous hierarchies of beliefs and max–min preferences. Given that this kind of preference seems too restrictive as a general method to evaluate decisions, in this paper we extend the analysis by taking into account α -max–min preferences in which decisions are evaluated by a convex combination of the worst-case (with weight α) and the best-case (with weight 1 − α ) scenarios. We define the α -max–min psychological Nash equilibrium; an illustrative example shows that the set of equilibria is affected by the parameter α and the larger the ambiguity, the greater the effect. We also provide a result of stability of the equilibria with respect to perturbations that involve the attitudes toward ambiguity, the structure of ambiguity, and the payoff functions: converging sequences of equilibria of perturbed games converge to equilibria of the unperturbed game as the perturbation vanishes. Surprisingly, a final example shows that the existence of equilibria is not guaranteed for every value of α. [ABSTRACT FROM AUTHOR]

This paper identifies subgenres of asymmetric virtual reality (AVR) games and proposes the AVR Game Genre (AVRGG) framework for developing AVR games. We examined 66 games "in the wild" to develop the AVRGG and used it to identify 5 subgenres of AVR games including David(s) vs. Goliath, Hide and Seek, Perspective Puzzle, Order Simulation, and Lifeline. We describe these genres, which account for nearly half of the 66 games reviewed, in terms of the AVRGG framework that highlights salient asymmetries in the mechanics, dynamics, and aesthetics categories. To evaluate the usefulness of the AVRGG framework, we conducted four workshops (two with the AVRGG framework and two without) with novice game designers who generated 16 original AVR game concepts. Comparisons between the workshop groups, observations of the design sessions, focus groups, and surveys showed the promise and limitations of the AVRGG framework as a design tool. We found that novice designers were able to understand and apply the AVRGG framework after only a brief introduction. The observations indicated two primary challenges that AVR designers face: balancing the game between VR and non-VR player(s) and generating original game concepts. The AVRGG framework helped overcome the balancing concerns due to its ability to inspire novice game designers with example subgenres and draw attention to the asymmetric mechanics and competitive/cooperative nature of games. While half of those who used the AVRGG framework to design with created games that fit directly into existing subgenres, the other half viewed the subgenres as "creative constraints" useful in jumpstarting novel game designs that combined, modified, or purposefully avoided existing subgenres. Additional benefits and limitations of the AVRGG framework are outlined in the paper. [ABSTRACT FROM AUTHOR]

In this paper, we consider encoding strategies for the Z-channel with noiseless feedback. We analyze the combinatorial setting where the maximum number of errors inflicted by an adversary is proportional to the number of transmissions, which goes to infinity. Without feedback, it is known that the rate of optimal asymmetric-error-correcting codes for the error fraction $\tau \ge 1/4$ vanishes as the blocklength grows. In this paper, we give an efficient feedback encoding scheme with $n$ transmissions that achieves a positive rate for any fraction of errors $\tau < 1$ and $n\to \infty $. Additionally, we state an upper bound on the rate of asymptotically long feedback asymmetric error-correcting codes. [ABSTRACT FROM AUTHOR]

A two‐player planar target defense game where the intruder attempts to breach the circular region guarded by the defender in the presence of a fixed line segment obstacle is addressed. Based on prior research, the entire game was divided into three phases to address the partial information problem. Additionally, the impact of obstacles on the game outcome is thoroughly analyzed. In contrast to the scenario without obstacles, this paper presents redesigned strategies for both defender and intruder, accompanied by quantitative results illustrating the influence on the winning probability. Finally, illustrative examples are given to demonstrate the effect of the obstacle. [ABSTRACT FROM AUTHOR]

This paper investigates the stability and motion of two interactive oscillating agents. Multiple agents can be controlled in a centralized and/or distributed manner to form specific patterns in cooperative tracking, pursuit, and evasion games, as well as environmental exploration. This paper studies the behavior of two oscillating agents due to their interaction. It shows that, through a combination of selecting oscillation centers and interaction gain, a variety of motions, including limit-cycles and stationary behavior, can be realized. [ABSTRACT FROM AUTHOR]

Precarious careers in the games industry have long relied on the unpaid and largely feminized support of spouses and family members. This paper addresses the role of spouses and other domestic cohabitants in the production of live game broadcasts on Twitch, Amazon's world-leading platform in live video entertainment. I introduce the heuristic of the 'Twitch Spouse' to underscore the crucial role that domestic partners have played as invisible workers in the wider games industry, whose precarious conditions have been extended by the rise of at-home livestreaming. Drawing from 'playful' interviews and ethnographic observation with 12 Twitch creators located across the United States and Canada, I delineate three themes by which the partners of Twitch streamers vitally contribute to livestreaming: collaborative space production, the management of intimacy, and timekeeping. Herein, I show how a theorization of the 'Twitch Spouse' will build future pathways for recognizing the intertwined struggles of domestic and digital work within the precarious horizons of the game industry. This paper argues that Twitch streamers' conceptualizations of intimate partners' supportive labour reinforce domesticity and visibility as co-extended forces in the evolving relevance of digital labour to contemporary capitalism. [ABSTRACT FROM AUTHOR]

A new methodology for solving the fuzzy multiobjective optimization problems is proposed in this paper by considering the fusion of cooperative game theory and genetic algorithm. The original fuzzy multiobjective optimization problem needs to be transformed into a scalar optimization problem, which is a conventional optimization problem. Usually, the assignments of suitable coefficients to the corresponding scalar optimization problem are subjectively determined by the decision makers. However, these assignments may cause some biases by their subjectivity. Therefore, this paper proposes a mechanical procedure to avoid this subjective biases. We are going to formulate a cooperative game using the α -level functions of the multiple fuzzy objective functions. Under this setting, the suitable coefficients can be determined mechanically by involving the core values of the cooperative game, which is formulated using the multiple fuzzy objective functions. We shall prove that the optimal solutions of the transformed scalar optimization problem are indeed the nondominated solutions of fuzzy multiobjective optimization problem. Since the core-nondominated solutions will depend on the coefficients that are determined by the core values of cooperative game, there will be a lot of core-nondominated solutions that will also depend on the corresponding coefficients. In order to obtain the best core-nondominated solution, we shall invoke the genetic algorithms by evolving the coefficients. [ABSTRACT FROM AUTHOR]

The emergence of Industrial Revolution 4.0 targets challenging the norm and pushing boundaries. Hence, educational institutions are expected to embrace a few methods to adopt technology as part of their instructional strategies. The incorporation of technology can nurture students' motivation to learn English, particularly grammar. While game-based grammar learning provides motivation, enjoyment, and acquisition of grammar knowledge, trends in using game-based grammar learning have not been scrutinised in the context of a systematic review. Therefore, this paper reviewed articles on game-based grammar learning beginning in 2016 through 2021. The review summarises articles in the following categories: 1) research contextual dimension, 2) methodological dimension, 3) game dimension, and 4) outcomes dimension. By reviewing 25 articles, this systematic review could serve as a guide for designing language teaching and learning activities using a game-based approach. Based on the findings, the paper presents implications and suggestions for future research in terms of optimised delivery of knowledge using game-based grammar learning. [ABSTRACT FROM AUTHOR]

Mean-field games (MFGs) are developed to model the decision-making processes of a large number of interacting agents in multi-agent systems. This paper studies mean-field games on graphs (G -MFGs). The equilibria of G -MFGs, namely, mean-field equilibria (MFE), are challenging to solve for their high-dimensional action space because each agent has to make decisions when they are at junction nodes or on edges. Furthermore, when the initial population state varies on graphs, we have to recompute MFE, which could be computationally challenging and memory-demanding. To improve the scalability and avoid repeatedly solving G -MFGs every time their initial state changes, this paper proposes physics-informed graph neural operators (PIGNO). The PIGNO utilizes a graph neural operator to generate population dynamics, given initial population distributions. To better train the neural operator, it leverages physics knowledge to propagate population state transitions on graphs. A learning algorithm is developed, and its performance is evaluated on autonomous driving games on road networks. Our results demonstrate that the PIGNO is scalable and generalizable when tested under unseen initial conditions. [ABSTRACT FROM AUTHOR]

In this paper, we explore a model of an N-player, non-cooperative stochastic game, drawing inspiration from the discrete formulation of the red-and-black gambling problem, as initially introduced by Dubins and Savage in 1965. We extend upon the work of Pontiggia from 2007, presenting a main theorem that broadens the conditions under which bold strategies by all players can achieve a Nash equilibrium. This is obtained through the introduction of a novel functional inequality, which serves as a key analytical tool in our study. This inequality enables us to circumvent the restrictive conditions of super-multiplicativity and super-additivity prevalent in the works of Pontiggia and others. We conclude this paper with a series of illustrative examples that demonstrate the efficacy of our approach, notably highlighting its ability to accommodate a broader spectrum of probability functions than previously recognized in the existing literature. [ABSTRACT FROM AUTHOR]

This paper empirically examines the signaling role of feedback in the repeated public goods game. To eliminate the potential impact of feedback's informative function, we test whether the provision of detailed yet redundant feedback leads to increased contributions. Our findings demonstrate that redundant information significantly promotes contributions. Given the equal informative power in both treatments, the observed increase in contributions can be attributed to the signaling effect. Furthermore, an examination of cooperative disposition heterogeneity reveals that conditional cooperators primarily utilize feedback for its informative function, while free riders primarily exploit it for its signaling function. These results offer empirical evidence of the signaling function of feedback and offer valuable insights into the design of feedback provision in repeated public goods settings. [ABSTRACT FROM AUTHOR]

Purpose: There has been limited research on why football clubs contribute to charity. This paper examines how football clubs and their charitable conduits report information when discussing their connectedness. In addition, it explores reasons why, and the extent to which, football clubs support altruism via such charitable vehicles. Design/methodology/approach: Case studies of four major football teams (Manchester City/Manchester United in England and AC Milan/Inter Milan in Italy) are discussed, with formal reports of the clubs and their associated charitable conduits being analysed. Findings: Boundaries between the clubs and their charitable conduits are frequently blurred. Evidence suggests that acknowledging the co-existence of different factors may help to understand what is reported by these organisations and address some of the caveats in terms of autonomy and probity of their activities and reporting practices. Research limitations/implications: The research uses case studies of four major 'powerhouses' of the game and their associated charitable spinoffs. While this is innovative and novel, expanding the research to investigate more clubs and their charitable endeavours would allow greater generalisations. Practical implications: The study provides material that can be used to reflect on the very topical subject of 'sportswashing'. This has the potential to input to deliberations relating to the future governance of the game. Originality/value: The paper explores relationships between businesses and charities/nonprofits in a sector so far little investigated from a charitable accountability perspective. It suggests that motives for engaging in charitable activity and highlighting such engagement may extend beyond normal altruism or warm-glow emotions. [ABSTRACT FROM AUTHOR]

Promoting cooperation in the network has always been a focus of evolutionary game dynamics research. In this paper, a three-strategy local decision model is designed to promote cooperative behavior between agents. The hide right is introduced to accurately describe the agents which tend to choose conservative strategy to achieve stable payoffs. Agents only consider their own and non-defective neighbors' payoffs information to make their decisions for next move. According to the adaptive dynamics, the equilibrium states under different conditions have been studied. It is found that the introduction of hide strategy helps to reduce the occurrence of defection. The conclusion of this paper will provide a reference for the cooperation promotion mechanism of selfish agents that are closer to the actual situation. [ABSTRACT FROM AUTHOR]

Augmented Reality (AR) is a technology that overlays virtual objects on a physical environment. The illusion afforded by AR is that these virtual artifacts can be treated like physical ones, allowing people to view them from different perspectives and point at them knowing that others see them in the same place. Despite extensive research in AR, there has been surprisingly little research into how people embrace this AR illusion, and in what ways the illusion breaks down. In this paper, we report the results of an exploratory, mixed methods study with six pairs of participants playing the novel Sightline AR game. The study showed that participants changed physical position and pose to view virtual artifacts from different perspectives and engaged in conversations around the artifacts. Being able to see the real environment allowed participants to maintain awareness of other participants’ actions and locus of attention. Players largely entered the illusion of interacting with a shared physical/virtual artifact, but some interactions broke the illusion, such as pointing into space. Some participants reported fatigue around holding their tablet devices and taking on uncomfortable poses. [ABSTRACT FROM AUTHOR]

This paper investigates virtual reality (VR) technology which can increase the quality of experience (QoE) on the graphics quality within the gaming environment. The graphics quality affects the VR environment and user experience. To gather relevant data, we conduct a live user experience and compare games with high- and low-quality graphics. The qualitative feedback obtained through questionnaires prove the importance ofcontextualizing users' experiences playing both games. Furthermore, our findings prove the crucial role of graphics quality in adopting user engagement and enjoyment during gaming sessions. Users consistently reported their feeling more connected when interacting with games and receiving high-quality graphics. If the graphics quality received is low, the user rating for a particular game is low. Further examination of VR technology reveals its potential to revolutionize graphics quality within game play. [ABSTRACT FROM AUTHOR]

Objectives: A serious game application was developed to train factual knowledge and for self-assessment. The aim of the present study was to compare the effects of a game application (intervention group) or paper scripts (control group) on knowledge acquisition and to evaluate the acceptance of the new application among dental students. Methods: The 4th semester students of the second preclinical prosthodontics course were randomly assigned to one of the two groups (n = 58/51) for two consecutive years. The study was conducted in two phases: First, all participants took a pretest, with the intervention group using the game application and the control group receiving the same set of questions in a paper script. In the second phase, all participants took a post-test. After the post-test, both groups had access to the application for another three weeks. After that, all participants completed standardized questionnaires and a scale to evaluate the usability of the system. Usage statistics were also tracked. Differences between groups were evaluated together and for both years separately in terms of pretest and posttest scores and learning success. Results: There was no significant difference between the groups with regard to the posttest and learning success. A significant improvement in knowledge between pretest and posttest (p < 0.05) was demonstrated in both groups. Each student played approximately 350 questions. Participants rated the application with the German school grade "good". Participants appreciated the application and rated it positively. They stated that the game motivated them to learn and that they spent more time with the learning content. Conclusion: Due to the positive perception achieved through the game, this application is able to motivate students to learn. The learning effect achieved is similar to learning on paper. [ABSTRACT FROM AUTHOR]

This paper investigates a dynamic event-triggered robust safety control method for multiplayer fully cooperative games with mismatched uncertainties and asymmetric input constraints under continuous-time nonlinear systems. Firstly, to address the safety constraints on the system states, a suitable barrier function is proposed to transform the original constrained system into an unconstrained system. Subsequently, through the construction of an auxiliary system, the robust control (RC) problem is transformed into optimal control problem with auxiliary control laws. Secondly, the control laws are subjected to asymmetric constraints by designing a non-quadratic function. Unlike traditional static event-triggered control, a new dynamic event-triggered mechanism is introduced for updating the control laws. In addition, a new critic neural network (NN) weight update method is constructed to approximate the solution of the event-triggered Hamiltonian Jacobi Bellman (HJB) equation by using the concurrent learning technique. Furthermore, Lyapunov's theorem proves that the closed-loop system is uniformly ultimately bounded (UUB). Finally, a simulation example of a single-linked robotic arm is provided to verify the validity of the proposed method in this paper. [ABSTRACT FROM AUTHOR]

A quantum game is constructed from a sequence of independent and identically polarised spin-1/2 particles. Information about their possible polarisation is provided to a bettor, who can wager in successive double-or-nothing games on measurement outcomes. The choice at each stage is how much to bet and in which direction to measure the individual particles. The portfolio's growth rate rises as the measurements are progressively adjusted in response to the accumulated information. Wealth is amassed through astute betting. The optimal classical strategy is called the Kelly criterion and plays a fundamental role in portfolio theory and consequently quantitative finance. The optimal quantum strategy is determined numerically and shown to differ from the classical strategy. This paper contributes to the development of quantum finance, as aspects of portfolio optimisation are extended to the quantum realm. Intriguing trade-offs between information gain and portfolio growth are described. [ABSTRACT FROM AUTHOR]

This paper studies Markov stopping games with two players on a denumerable state space. At each decision time player II has two actions: to stop the game paying a terminal reward to player I, or to let the system to continue it evolution. In this latter case, player I selects an action affecting the transitions and charges a running reward to player II. The performance of each pair of strategies is measured by the risk-sensitive total expected reward of player I. Under mild continuity and compactness conditions on the components of the model, it is proved that the value of the game satisfies an equilibrium equation, and the existence of a Nash equilibrium is established. [ABSTRACT FROM AUTHOR]

There have been multiple pattern languages for game design, and the pattern format held promise in overcoming the longstanding methodological gaps in game design. The paper examines related work in games research that places game design at the center of understanding games and in a design-led breakthrough in games research. Barney's approach is a back-to-basics approach in that it reasserts certain principles found in the original design pattern language (in the field of architecture) which had been more or less eschewed in game design pattern development. [Extracted from the article]

This paper proposes a new method for solving a two-person zero-sum fuzzy matrix game with goals, payoffs, and decision variables represented as triangular fuzzy rough numbers. We created a pair of fully fuzzy rough linear programming problems for players. Triangular fuzzy rough numbers can be used to formulate two fuzzy linear programming problems for the first player in the form of upper approximation intervals and lower approximation intervals. Two problems for the second player can be created in the same way. These problems have been split into five sub-crisp problems for the player first and five sub-crisp problems for the player second. The solution to the game can be obtained by solving these ten fuzzy linear programming problems. To demonstrate the method, a numerical example is provided. Using Wolfram Cloud, optimal strategies and game values are calculated for various parameters. Sensitivity analysis is carried out by altering the values of parameters. [ABSTRACT FROM AUTHOR]

In recent years, several high-profile incidents have spurred research into games of timing. A framework emanating from the FlipIt model features two covert agents competing to control a single contested resource. In its basic form, the resource exists forever while generating value at a constant rate. As this research area evolves, attempts to introduce more economically realistic models have led to the application of various forms of economic discounting to the contested resource. This paper investigates the application of a two-parameter economic discounting method, called generalized hyperbolic discounting, and characterizes the game's Nash equilibrium conditions. We prove that for agents discounting such that accumulated value generated by the resource diverges, equilibrium conditions are identical to those of non-discounting agents. The methodology presented in this paper generalizes the findings of several other studies and may be of independent interest when applying economic discounting to other models. [ABSTRACT FROM AUTHOR]