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Abstract: For agent-based systems to reach their full potential, an important capability for individual agents is adaptation. An adaptive technique that is particularly well suited to the agentbased paradigm is provided by evolutionary computation (EC). EC systems have been shown to develop complex groups of coevolved structures. In fact, Holland's original vision of artificial adaptive systems was more like an agentbased system than the typical centralized genetic algorithms (GAs) used today. Moreover,... (Update)
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BibTeX entry: (Update)
Smith, R.E., Taylor, N.: A Framework for Evolutionary Computation in Agent-Based Systems. In: Looney, C., Castaing, J.: Proceedings of the 1998 International Conference on Intelligent Systems, pp. 221-224. http://www.ics.uwe.ac.uk/~rsmith/fecabs.pdf http://citeseer.ist.psu.edu/smith98framework.html More
@misc{ smith98framework,
author = "R. Smith and N. Taylor",
title = "A Framework for Evolutionary Computation in Agent-Based Systems",
text = "Smith, R.E., Taylor, N.: A Framework for Evolutionary Computation in Agent-Based
Systems. In: Looney, C., Castaing, J.: Proceedings of the 1998 International
Conference on Intelligent Systems, pp. 221-224. http://www.ics.uwe.ac.uk/~rsmith/fecabs.pdf",
year = "1998",
url = "citeseer.ist.psu.edu/smith98framework.html" }
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