Abstract
This paper explores the collective adaptive agent that adapts to agroup in contrast with the individual adaptive agent that adapts to a single user. For this purpose, this paper starts by defining the collective adaptive situation through an analysis of the subject experiments in the playing card game, Barnga, and investigates the factors that lead the group to the collective adaptive situation. Intensive simulations using Barnga agents have revealed the following implications: (1) the leader who takes account of other players’ opinions contributes to guide players to the collective adaptation situation, and (2) an appropriate role balance among players (i.e., the leader, the claiming and quiet player, which make the most and least number of corrections) is required to derive the collective adaptive situation.
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© 2009 Springer-Verlag Berlin Heidelberg
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Ushida, Y., Hattori, K., Takadama, K. (2009). From My Agent to Our Agent: Exploring Collective Adaptive Agent via Barnga. In: Nicholson, A., Li, X. (eds) AI 2009: Advances in Artificial Intelligence. AI 2009. Lecture Notes in Computer Science(), vol 5866. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10439-8_5
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DOI: https://doi.org/10.1007/978-3-642-10439-8_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10438-1
Online ISBN: 978-3-642-10439-8
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