BSCA-F: efficient fuzzy valued stable coalition forming among agents

BSCA-F: efficient fuzzy valued stable coalition forming among agents

We propose a new low-complexity coalition forming algorithm, BSCA-F, that enables agents to negotiate bilateral Shapley value stable coalitions in uncertain environments, and demonstrate its usefulness by example. In particular, we show that utilizing the possibilistic mean value for de-fuzzifying n...

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Hauptverfasser: Blankenburg, B., Klusch, M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial intelligence
Bayesian methods
Collaboration
Game theory
Intelligent agent
Kernel
Optimization methods
Possibility theory
Stability
Uncertainty
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Klusch, M.
description We propose a new low-complexity coalition forming algorithm, BSCA-F, that enables agents to negotiate bilateral Shapley value stable coalitions in uncertain environments, and demonstrate its usefulness by example. In particular, we show that utilizing the possibilistic mean value for de-fuzzifying negotiated fuzzy agent payoffs is reasonable, and fuzzy ranking methods can be utilized to implement optimistic, or pessimistic strategies of individual agents.
doi_str_mv 10.1109/IAT.2005.48
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subjects Artificial intelligence
Bayesian methods
Collaboration
Game theory
Intelligent agent
Kernel
Optimization methods
Possibility theory
Stability
Uncertainty
title BSCA-F: efficient fuzzy valued stable coalition forming among agents
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