DocumentCode :
692423
Title :
A Biologically Inspired Architecture for Multiagent Games
Author :
Eliott, Fernanda M. ; Ribeiro, Carlos H. C.
Author_Institution :
Comput. Sci. Div., Technol. Inst. of Aeronaut. (ITA), São José dos Campos, Brazil
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
230
Lastpage :
235
Abstract :
This paper reports modifications on a biologically inspired robotic architecture originally designed to work in single agent contexts. Several adaptations have been applied to the architecture, seeking as result a model-free artificial agent able to accomplish shared goals in a multiagent environment, from sensorial information translated into homeostatic variable values and a rule database that play roles respectively in temporal credit assignment and action-state space exploration. The new architecture was tested in a well-known benchmark game, and the results were compared to the ones from the multiagent RL algorithm Wolf-PHC. We verified that the proposed architecture can produce coordinated behaviour equivalent to WoLF-PHC in stationary domains, and is also able to learn cooperation in non-stationary domains. The proposal is a first step towards an artificial agent that cooperate as result of a biologically plausible computational model of morality.
Keywords :
game theory; multi-agent systems; robots; action-state space exploration; benchmark game; biologically inspired architecture; biologically inspired robotic architecture; coordinated behaviour; homeostatic variable values; model-free artificial agent; morality; multiagent games; rule database; single agent contexts; stationary domains; temporal credit assignment; Artificial neural networks; Biology; Computer architecture; Games; Robot kinematics; Robot sensing systems; biologically inspired architectures; game theory; multiagent systems; reinforcement learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
Conference_Location :
Ipojuca
Type :
conf
DOI :
10.1109/BRICS-CCI-CBIC.2013.45
Filename :
6855854
Link To Document :
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