Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/36365
Title: ACACIA: an agent-based program for simulating behavior to reach long-term goals
Author: Salvador Beltrán, Francesc
Quera, Vicenç (Quera Jordana)
Zibetti, E.
Tijus, C.
Miñano, M.
Keywords: Presa de decisions
Simulació per ordinador
Interacció persona-ordinador
Agents intel·ligents (Programes d'ordinador)
Decision making
Computer simulation
Human-computer interaction
Intelligent agents (Computer software)
Issue Date: 2009
Publisher: Springer Verlag
Abstract: 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.
Note: Versió postprint del document publicat a: 10.1007/s10339-008-0236-9
It is part of: Cognitive Processing, 2009, vol. 10, p. 95-99
Related resource: http://dx.doi.org/10.1007/s10339-008-0236-9
URI: http://hdl.handle.net/2445/36365
ISSN: 1612-4782
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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