Autonomous Behavior of Computational Agents
In this paper we present an architecture for decision making of software agents that allows the agent to be-have autonomously. Our target area is computational agents — encapsulating various neural networks, genetic algorithms, and similar methods — that are expected to solve problems of different nature within an environment of a hybrid computational multi-agent system. The architecture is based on the vertically-layered and belief-desire-intention architectures. Several experiments with computational agents were conducted to demonstrate the benefits of the architecture.
KeywordsGenetic Algorithm Software Agent Partner Choice Concept Node Autonomous Behavior
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