(Enter summary)
Abstract: At present, the extension of formal learning theory
to the multi-agent case considers "teams" of agents sharing
a common end. Success is achieved if one or more of the
agents is successful, and cooperation is not involved in the
team formation. Unfortunately, this is rarely the idea of "successful
team" we have in mind. One generally expects agents'
behavior to influence each other in a way that is not captured
by the present paradigms. A real problem in extending single
agent learning methods ... (Update)
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BibTeX entry: (Update)
A. Agostini. Team-solvability: A model-theoretic perspective. In W. Horn, editor, Proceedings of the Fourteenth European Conference on Articial Intelligence (ECAI-00), pages 333-337, Amsterdam, 2000. IOS Press. http://citeseer.ist.psu.edu/agostini00teamsolvability.html More
@inproceedings{ agostiniagostiniteamsolvability,
author = "Alessandro Agostini",
title = "{Team-Solvability}: {A} {Model-Theoretic} Perspective",
pages = "333--337",
url = "citeseer.ist.psu.edu/agostini00teamsolvability.html" }
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