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» A Framework for Belief Update
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JMLR
2006
153views more  JMLR 2006»
15 years 11 days ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
144
Voted
TSMC
2010
14 years 7 months ago
Attack and Flee: Game-Theory-Based Analysis on Interactions Among Nodes in MANETs
In mobile ad hoc networks, nodes have the inherent ability to move. Aside from conducting attacks to maximize their utility and cooperating with regular nodes to deceive them, mali...
Feng Li, Yinying Yang, Jie Wu
102
Voted
AINA
2009
IEEE
15 years 7 months ago
Combined On-line and Off-line Trust Mechanism for Agent Computing
In this paper, we propose an efficient mechanism dealing with trust assessment for agent societies, aiming to accurately assess the trustworthiness of the collaborating agents. I...
Babak Khosravifar, Jamal Bentahar, Maziar Gomrokch...
107
Voted
ISIPTA
2005
IEEE
140views Mathematics» more  ISIPTA 2005»
15 years 6 months ago
Conservative Rules for Predictive Inference with Incomplete Data
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Marco Zaffalon
85
Voted
KR
2000
Springer
15 years 4 months ago
Representing and Aggregating Conflicting Beliefs
We consider the two-fold problem of representing collective beliefs and aggregating these beliefs. We propose a novel representation for collective beliefs that uses modular, tran...
Pedrito Maynard-Reid II, Daniel J. Lehmann