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Esta es una serie de recomendaciones técnicas y dilemas para resolver antes de empezar a trabajar con registros de violencia en contra de la población LGBTI. Cada punto funciona como un tema a tratar o dilucidar en la creación de sistemas de información, políticas de almacenamiento de datos o formularios para registros de diferente índole, y la atención en general.En cada punto se resumen problemas identificados en las prácticas de las instituciones estudiadas, pero que son extrapolables a otros procesos de registro. Estos puntos buscan relacionar los hallazgos sobre estructura de datos y categorías con las implicaciones que tienen no solo en materia del registro sino también en cuanto a semántica y conocimiento sobre la población LGBTI. Material complementario aEl registro de la violencia contra personas LGBTI: Datificación y protocolos.https://zenodo.org/record/4697224#.YL9wby0RqfR

Como persona LGBTI puedo entender la manera en que la violencia contra otras personas como yo se manifiesta y se enraiza en las instituciones. Tomando el concepto de violencia estructural de Galtung (1969), la falta de registro de esta violencia en las instituciones de seguridad y justicia es una de las formas en las que esta violencia se ve como “permitida” o se invisibiliza. Según el Sistema de Información sobre violencias de la población LGBTI en América Latina y el Caribe, una coalición entre organizaciones de sociedad civil de 10 países que monitorean los homicidios en contra de esta población, en los últimos 6 años 1,600 personas LGBTI han sido asesinadas en Latinoamérica. La falta de protocolos específicos para registrar la violencia contra personas LGBTI en Centroamérica tiene como efecto un subregistro sobre la violencia y, por consecuencia, que dicha población no sea considerada para el diseño de políticas públicas. En la actualidad, dichos registros no documentan la legítima necesidad de buscar soluciones con los insumos posibles (la gestión de información uno de ellos) a la problemática de la violencia por prejuicio, según lo denunciado por organismos internacionales de derechos humanos y organizaciones de sociedad civil. &nbsp

Presentado como comunicación en HEIDI-CORTEX Behavioral Economics Workshop GATE, celebrado los días 29 y 30 de octubre de 2014 en Ecully (France). Presentado como comunicación el 17 de abril de 2015 en el Second International Meeting on Experimental and Behavioral Social Sciences, celebrado del 15 al 17 de abril de 2015 en Toulouse (Francia), We study whether communication can limit the negative consequences of the use of counterpunishment in a public goods environment. The two dimensions of communication we study are norm communication and accountability, having to justify one’s actions to others. We conduct four experimental treatments, all involving a contribution stage, a punishment stage and a counterpunishment stage. In the first stage there are no communication possibilities. The second treatment allows for communication at the punishment stage and the third asks for a justification message at the counter-punishment stage. The fourth combines the two communication channels of the second and third treatments. We find that the three treatments involving communication at any of the two relevant stages lead to significantly higher contributions than the baseline treatment. The detrimental effect of allowing for counter-punishment is neutralized in the presence of communication possibilities. We find no difference between the three treatments with communication. Separately norm communication and being held accountable work equally well and we find no interaction effect from using them jointly. We also relate our results to those of other treatments without counter-punishment opportunities. The overall pattern of results shows that the key factor is the presence of communication. Whenever it is possible contributions are higher than when it is not, regardless of counter-punishment opportunities, The work presented in this paper has been performed in the frame of the MacNorms project (Intramurales de frontera CSIC – PIF08-007) and of the Gloders project (Seventh Framework EU Programme FP7/2007-2013 Grant: 315874). The authors thank the Institute of Cognitive Sciences and Technologies (ISTC-CNR, Rome), the European University Institute, the Spanish Ministerio de Economía y Competitividad (Grant: ECO2011-29847-C02-01) and the Generalitat de Catalunya (Grant: 2009 SGR 820 and Grant 2009SGR1434) for research support

International audience; Societal norms or conventions help identify one of many appropriate behaviors during an interaction between agents. The offline study of norms is an active research area where one can reason about normative systems and include research on designing and enforcing appropriate norms at specification time. In our work, we consider the problem of the emergence of conventions in a society through distributed adaptation by agents from their online experiences at run time. The agents are connected to each other within a fixed network topology and interact over time only with their neighbours in the network. Agents recognize a social situation involving two agents that must choose one available action from multiple ones. No default behavior is specified. We study the emergence of system-wide conventions via the process of social learning where an agent learns to choose one of several available behaviors by interacting repeatedly with randomly chosen neighbors without considering the identity of the interacting agent in any particular interaction. While multiagent learning literature has primarily focused on developing learning mechanisms that produce desired behavior when two agents repeatedly interact with each other, relatively little work exists in understanding and characterizing the dynamics and emergence of conventions through social learning. We experimentally show that social learning always produces conventions for random, fully connected and ring networks and study the effect of population size, number of behavior options, different learning algorithms for behavior adoption, and influence of fixed agents on the speed of convention emergence. We also observe and explain the formation of stable, distinct subconventions and hence the lack of emergence of a global convention when agents are connected in a scale-free network.

Public transport optimisation is becoming everyday a more di cult and challenging task, because of the increasing number of transportation options as well as the exponential increase of users. Many research contributions about this issue have been recently published under the umbrella of the smart cities research. In this work, we sketch a possible framework to optimize the tourist bus in the city of Barcelona. Our framework will extract information from Twitter and other web services, such as Foursquare to infer not only the most visited places in Barcelona, but also the trajectories and routes that tourist follow. After that, instead of using complex geospatial or trajectory clustering methods, we propose to use simpler clustering techniques as k-means or DBScan but using a real sequence of symbols as a distance measure to incorporate in the clustering process the trajectory information. This work is partially supported by the Ministry of Science and Technology of Spain under contract TIN2012-34557 and by the BSC-CNS Severo Ochoa program (SEV-2011-00067) and with the support of ACC1Ó, the Catalan Agency to promote applied research and innovation; and by the Spanish Centre for Development of Industrial Technology under the INNPRONTA program, project IPT-20111006, \CIUDAD2020".

Recent studies show that punishment plays a crucial role in favoring and maintaining social order. However, very little attention has been paid so far to the potential of distributed punishment. In this work we put forward the hypothesis that distributed punishment is more effective than individual punishment, because is more persuasive in conveying messages of peer condemnation and of shared norm defense. We test this hypothesis by presenting results from laboratory experiments with humans and virtual agents and from simulations solely with agents.

Punishment plays a crucial role in achieving and maintaining norm compliance. Several works have shown that cooperation greatly increases when punishment opportunities are allowed. However, these studies have mainly looked at punishment from the classical economic perspective, as a way of changing people's conduct by increasing the cost of undesired behaviour. In this paper, we distinguish between two enforcing mechanisms, punishment and sanction, focusing on the specific ways in which they promote and maintain cooperation. In particular, by punishment we refer to a practice that works only by imposing a cost, while by sanction we indicate a practice that in addition to that also signals the existence of a norm and that its violation is not condoned. To achieve this, we have developed a normative agent able both to punish and sanction offenders and to be affected by these enforcing mechanisms itself.The results obtained through agent-based simulation show us that sanction is more effective and makes the population more resilient to sudden changes than mere punishment.

This volume contains the papers presented at the Student Session of the 11th European Agent Systems Summer School (EASSS) held on 2nd of September 2009 at Educatorio della Providenza, Turin, Italy. The Student Session, organised by students, is designed to encourage student interaction and feedback from the tutors. By providing the students with a conference-like setup, both in the presentation and in the review process, students have the opportunity to prepare their own submission, go through the selection process and present their work to each other and their interests to their fellow students as well as internationally leading experts in the agent field, both from the theoretical and the practical sector. Table of Contents: Andrew Koster, Jordi Sabater Mir and Marco Schorlemmer, Towards an inductive algorithm for learning trust alignment . . . 5; Angel Rolando Medellin, Katie Atkinson and Peter McBurney, A Preliminary Proposal for Model Checking Command Dialogues. . . 12; Declan Mungovan, Enda Howley and Jim Duggan, Norm Convergence in Populations of Dynamically Interacting Agents . . . 19; Akın Günay, Argumentation on Bayesian Networks for Distributed Decision Making . . 25; Michael Burkhardt, Marco Luetzenberger and Nils Masuch, Towards Toolipse 2: Tool Support for the JIAC V Agent Framework . . . 30; Joseph El Gemayel, The Tenacity of Social Actors . . . 33; Cristian Gratie, The Impact of Routing on Traffic Congestion . . . 36; Andrei-Horia Mogos and Monica Cristina Voinescu, A Rule-Based Psychologist Agent for Improving the Performances of a Sportsman . . . 39.

This volume contains the papers presented at the Student Session of the 11th European Agent Systems Summer School (EASSS) held on 2nd of September 2009 at Educatorio della Providenza, Turin, Italy. The Student Session, organised by students, is designed to encourage student interaction and feedback from the tutors. By providing the students with a conference-like setup, both in the presentation and in the review process, students have the opportunity to prepare their own submission, go through the selection process and present their work to each other and their interests to their fellow students as well as internationally leading experts in the agent field, both from the theoretical and the practical sector. Table of Contents: Andrew Koster, Jordi Sabater Mir and Marco Schorlemmer, Towards an inductive algorithm for learning trust alignment . . . 5; Angel Rolando Medellin, Katie Atkinson and Peter McBurney, A Preliminary Proposal for Model Checking Command Dialogues. . . 12; Declan Mungovan, Enda Howley and Jim Duggan, Norm Convergence in Populations of Dynamically Interacting Agents . . . 19; Akın Günay, Argumentation on Bayesian Networks for Distributed Decision Making . . 25; Michael Burkhardt, Marco Luetzenberger and Nils Masuch, Towards Toolipse 2: Tool Support for the JIAC V Agent Framework . . . 30; Joseph El Gemayel, The Tenacity of Social Actors . . . 33; Cristian Gratie, The Impact of Routing on Traffic Congestion . . . 36; Andrei-Horia Mogos and Monica Cristina Voinescu, A Rule-Based Psychologist Agent for Improving the Performances of a Sportsman . . . 39

The organization of subsistence and reproduction is the essential issue that characterizes and distinguishes societies, and this organization (social relationships) is not directly visible in Archaeology. We argue that to explore and identify these social relationships is an essential part of prehistoric studies. Hunter-Fisher-Gatherer (H-F-G) ethnographic studies show two main universals in the organization of social relationships: gender-based division of tasks (labour) and social inequality between males and females. Although inequality is not directly visible in Archaeology, it is materialized in the different degree of effort invested by men and women in subsistence and reproduction. This difference is measurable through the consequences of labour (analysis of products) and can be objectively evaluated for every product through the calculation of labour invested and available technology., Research Group AGREL (supported by AGAUR- Generalitat de Catalunya)