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Conference Papers Year : 2017

A situated BDI agent architecture for the GAMA modelling and simulation platform

Abstract

With the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Indeed, cognitive agent architectures face two main obstacles: their complexity for the field-expert modeler, and their computational cost. In this paper, we propose a new cognitive agent architecture based on the BDI (Belief-Desire-Intention) paradigm integrated into the GAMA modeling platform and its GAML modeling language. This architecture was designed to be simple-to-use for modelers, flexible enough to manage complex behaviors, and with low computational cost. An experiment carried out with different profiles of end-users shows that the architecture is actually usable even by modelers who have little knowledge in programming and in Artificial Intelligence.
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Dates and versions

hal-01690132 , version 1 (22-01-2018)

Identifiers

  • HAL Id : hal-01690132 , version 1
  • OATAO : 18787

Cite

Patrick Taillandier, Mathieu Bourgais, Philippe Caillou, Carole Adam, Benoit Gaudou. A situated BDI agent architecture for the GAMA modelling and simulation platform. 17th International Workshop on Multi-Agent-Based Simulation (MABS 2016) at AAMAS 2016, May 2016, Singapore, Singapore. pp. 3-23. ⟨hal-01690132⟩
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