Cooperation, Norms, and Revolutions: A Unified Game-Theoretical Approach Background Cooperation is of utmost importance to society as a whole, but is often challenged by individual self-interests. While game theory has studied this problem extensively, there is little work on interactions within and across groups with different preferences or beliefs. Yet, people from different social or cultural backgrounds often meet and interact. This can yield conflict, since behavior that is considered cooperative by one population might be perceived as non-cooperative from the viewpoint of another. Methodology and Principal Findings
Recherche Systèmes complexes
NetLogo is a multi-agent programmable modeling environment. It is used by tens of thousands of students, teachers and researchers worldwide. It also powers HubNet participatory simulations.
Journal of Artificial Societies and Social Simulation Modelling Maritime Piracy: A Spatial Approach Elio Marchione, Shane D Johnson and Alan Wilson Agent-Based Simulation of Mass Shootings: Determining How to Limit the Scale of a Tragedy Roy Hayes and Reginald Hayes Modeling the Transition to Public School Choice Spiro Maroulis, Eytan Bakshy, Louis Gomez and Uri Wilensky Optimization of Agent-Based Models: Scaling Methods and Heuristic Algorithms Matthew Oremland and Reinhard Laubenbacher
M2 Informatique - ABM -outils de simulation multi-agents Année 2012 Contenu du cours Ce cours présente les bases de la modélisation et de la simulation multi-agent, domaine en plein essor permettant de modéliser des systèmes complexes lorsque les techniques purement mathématiques trouvent leur limite.
The European Social Simulation Association (ESSA) promotes the development of social simulation research, education and application in Europe. Founded on a manifesto signed by many social simulation researchers in 1993, the basis of the ESSA's Constitution was formed. ESSA has become the most important hub of social simulation worldwide. By collaborating with CSSSA , the Computational Social Science Society of the Americas, and PAAA , the Pacific Asian Association for Agent-based Approach in Economic & Social Complex Systems, ESSA has promoted international initiatives to build a bridge between regional groups and associations. Events — ESSA Portal
Village Ecodynamics Project | an NSF supported program Since the 1990s there has been a marked increase in interest in computational approaches—including simulation—by social science researchers. This appears to be driven both by a cross-disciplinary interest in the sciences of complexity and the ever-increasing computational capacity at our disposal. In the past, due to the complexity of the phenomena involved, we have been forced to use simplistic world models. Today we are able to study a world in which most important phenomena emerge from the non-linear interaction of many agents (physical, biological, or social) in systems that are rarely at equilibrium.
ANR OBRESOC OBRESOC (Un observatoire rétrospectif d’une société archéologique: La trajectoire du néolithique Rubané), est un projet financé par l’ANR (Agence Nationale de la Recherche, Convention ANR-09-CEP-004-01/OBRESOC) dans le cadre du programme ANR- CEP (Changements Environnementaux Planétaires). Il rassemble 7 équipes partenaires dans un cadre transdisciplinaire, regroupant l’archéobotanique, l’archéozoologie, la paléodémographie, le paléoenvironnement, la paléoécologie, l’archéologie culturelle, la paléoclimatologie, la science économique et la modélisation informatique). Résumé : Les données des sociétés archéologiques, de leur naissance à leur disparition, peuvent être considérées comme les résultats d’observatoires rétrospectifs, ayant éventuellement enregistré des impacts environnementaux.
Review of Costopoulos, Andre and Lake, Mark W. (eds.): Simulating Change: Archaeology into the Twenty-First Century (Foundations of Archaeological Inquiry) The contributors to this thought-provoking volume address two major questions concerning agent-based modelling in archaeology: is such modelling going to play a substantial role in archaeological studies in the future, and, if so, why has it not played much of a role in the forty or so years since it was first proposed (by, amongst others, the present reviewer)? JASSS readers will incline to say "yes" to the first question and to be puzzled by the second. However, the answers offered to these questions by the contributors are diverse and certainly of interest to all working with agent-based modelling in any of the social sciences. The first chapter is an introduction written by Costopoulos, Lake and Gupta. They look back at the history of agent-based modelling in archaeology with its early limitations including the negative impact of the post-processual counter-revolution.