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 To understand the dynamics and outcome of the competitive interactions within and between groups, we study game-dynamical replicator equations for multiple populations with incompatible interests and different power (be this due to different population sizes, material resources, social capital, or other factors).
Conclusions and Significance Figures. Systèmes complexes. Agent-Based Models. Recherche Systèmes complexes. Systèmes complexes. NETLOGO. NetLogo Home Page. 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. It is authored by Uri Wilensky and developed at the CCL. You can download it free of charge. What can you do with NetLogo? Join mailing lists here. NetLogo comes with a large library of sample models. 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.
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.
On trouve de nombreuses applications des techniques de simulation multi-agent (aussi appelée ABM pour Agent Based Modelling) dans les sciences humaines et sociales, l'éthologie, le développement durable, la gestion de ressources, l'aide à la prise de décision. Références, bibliographie, liens à parcourir Jacques Ferber, les systèmes multi-agents, InterEditions, 1995. Polycopiés Les polycopiés du cours se présentent sous la forme de "transparents" (slides) en pdf Sujets de TP:
Events — ESSA Portal. 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. The objectives of ESSA are to: To become an ESSA member, please follow this link . Home. Village Ecodynamics Project. 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).
Obresoc1%20Bocquet-Appel. 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. The remaining two chapters differ.