Title :
Neuroevolution for adaptive teams
Author :
Bryant, Bobby D. ; Miikkulainen, Risto
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
Abstract :
We introduce the adaptive team of agents (ATA), a system of homogeneous agents with identical control policies which nevertheless adopt heterogeneous roles appropriate to their environment. ATAs have applications in domains such as games, and can be evolved through neuroevolution. In this paper we show how ATAs can be evolved to solve the problem posed by a simple strategy game and discuss their application to richer environments.
Keywords :
computer games; game theory; learning (artificial intelligence); multi-agent systems; neural nets; adaptive team of agents; control policies; homogeneous agents; multiagent systems; neuroevolution; strategy game; Adaptive control; Application software; Artificial intelligence; Computer architecture; Control systems; Environmental economics; Multiagent systems; Programmable control; Robustness; Switches;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299944
