BDI agents in social simulations: a survey - Inria - Institut national de recherche en sciences et technologies du numérique
Rapport (Rapport De Recherche) Année : 2015

BDI agents in social simulations: a survey

Résumé

Modeling and simulation have long been dominated by equation-based approaches, until the recent advent of agent-based approaches. To curb the resulting complexity of models, Axelrod promoted the KISS principle: " Keep It Simple, Stupid ". But the community is divided and a new principle appeared: KIDS, " Keep It Descriptive Simple ". Richer models were thus developed for a variety of phenomena, while agent cognition still tends to be modelled with simple reactive particle-like agents. This is not always appropriate, in particular in the social sciences trying to account for the complexity of human behaviour. One solution is to model humans as BDI agents, an expressive paradigm using concepts from folk psychology, making it easier for modellers and users to understand the simulation. This paper provides a methodological guide to the use of BDI agents in social simulations, and an overview of existing methodologies and tools for using them.
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Dates et versions

hal-01363962 , version 1 (12-09-2016)

Identifiants

  • HAL Id : hal-01363962 , version 1

Citer

Carole Adam, Benoit Gaudou. BDI agents in social simulations: a survey. [Research Report] RR-LIG-050, LIG : Laboratoire d'informatique de Grenoble. 2015. ⟨hal-01363962⟩
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