A bottom-up mechanism for behavior selection in an artificial creature
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
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This paper gives concise overview of our approach to the simulation of living forms and shows how it is possible, with help of the AI bottom-up methods, ethological and evolution principles, to simulate agents who have needs and desires, reflexes and instincts, but also have ability to perform deliberative tasks and to accomplish more complex goals. We have implemented a virtual environment - Artificial Life Simulator and our ideas and approaches were tested in practical situations.