Abstract
The problem of action selection for an autonomous creature implies resolving conflicts between competing behavioral alternatives. These conflicts can be resolved either via competition, following a “winner-take-all” approach, or via cooperation in a “voting-based” approach. In this paper we present two robotic architectures implementing these approaches, and report on experiments we have performed to compare their underlying optimization policies. We have framed this study within the context of the “two-resource problem,” as it provides a widely used standard that favors systematic experimentation, analysis, and comparison of results.
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Avila-García, O., Cañamero, L., te Boekhorst, R. (2003). Analyzing the Performance of “Winner-Take-All” and “Voting-Based” Action Selection Policies within the Two-Resource Problem. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_79
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DOI: https://doi.org/10.1007/978-3-540-39432-7_79
Publisher Name: Springer, Berlin, Heidelberg
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