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» Measuring and Optimizing Behavioral Complexity for Evolution...
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GECCO
2003
Springer
13 years 11 months ago
Multi-objectivity as a Tool for Constructing Hierarchical Complexity
Abstract. This paper presents a novel perspective to the use of multiobjective optimization and in particular evolutionary multi-objective optimization (EMO) as a measure of comple...
Jason Teo, Minh Ha Nguyen, Hussein A. Abbass
MICAI
2007
Springer
13 years 12 months ago
Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
Tomás Arredondo Vidal, Wolfgang Freund, C&e...
AAMAS
2007
Springer
13 years 12 months ago
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
AIIDE
2008
13 years 8 months ago
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution
It is difficult to discover effective behavior for NPCs automatically. For instance, evolutionary methods can learn sophisticated behaviors based on a single objective, but realis...
Jacob Schrum, Risto Miikkulainen
BC
1998
109views more  BC 1998»
13 years 5 months ago
Learning and stabilization of altruistic behaviors in multi-agent systems by reciprocity
Optimization of performance in collective systems often requires altruism. The emergence and stabilization of altruistic behaviors are dicult to achieve because the agents incur ...
Javier Zamora, José del R. Millán, A...