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A BDI agent architecture for the GAMA modeling 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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Contributor : Philippe Caillou <>
Submitted on : Wednesday, November 2, 2016 - 4:48:50 PM
Last modification on : Thursday, October 15, 2020 - 3:20:04 PM
Long-term archiving on: : Friday, February 3, 2017 - 2:21:35 PM


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  • HAL Id : hal-01391002, version 1


Patrick Taillandier, Mathieu Bourgais, Philippe Caillou, Carole Adam, Benoit Gaudou. A BDI agent architecture for the GAMA modeling and simulation platform. MABS 2016 Multi-Agent-Based Simulation, May 2016, Singapore, Singapore. ⟨hal-01391002⟩



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