ACACIA: an agent-based program for simulating behavior to reach long-term goals.

Beltran F.S. , V. Quera , Elisabetta Zibetti (1) , Charles Tijus (1, 2) , M. Minano

1 CHART - Cognitions Humaine et ARTificielle
2 LUTIN - Laboratoire des Usages en Technologies d'Information Numériques

We present ACACIA, an agent-based program implemented in Java StarLogo 2.0 that simulates a two-dimensional microworld populated by agents, obstacles and goals. Our program simulates how agents can reach long-term goals by following sensorial-motor couplings (SMCs) that control how the agents interact with their environment and other agents through a process of local categorization. Thus, while acting in accordance with this set of SMCs, the agents reach their goals through the emergence of global behaviors. This agent-based simulation program would allow us to understand some psychological processes such as planning behavior from the point of view that the complexity of these processes is the result of agent–environment interaction.

Mots clés: Simulation

Domaines: Sciences de l'information et de la communication; Sciences de l'information et de la communication

Beltran F.S., V. Quera, Elisabetta Zibetti, Charles Tijus, M. Minano. ACACIA: an agent-based program for simulating behavior to reach long-term goals.. Cognitive Processing, 2009, 10, pp.95-99. ⟨10.1007/s10339-008-0236-9⟩. ⟨halshs-00642869⟩