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Noise Detection in Agent Reputation Models Using IMM ...
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由 J Carbo 著作2008被引用 2 次 — Noise Detection in Agent Reputation Models Using IMM Filtering ... Included in the following conference series: International Workshop on Trust in Agent Societies.
Noise Detection in Agent Reputation Models Using IMM Filtering
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Kalman and IMM have been largely applied to make time-dependent predictions in noisy environments, furthermore they are recognized as a reasoning paradigm for ...
Noise Detection in Agent Reputation Models Using IMM ...
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由 J Carbo 著作2008被引用 2 次 — In this paper we pro- pose to apply a temporal statistical model to the noisy observations perceived. (reputations) that filter out noise (subjectivity) and ...
Noise Detection in Agent Reputation Models Using IMM Filtering
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This paper has implemented agents that apply Kalman and Interacting Multiple Model (IMM) adaptive filters as a part of ART trust models, and has run ART ...
Convergence of agent reputation with Alpha-Beta filtering vs. a ...
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TL;DR: This paper has implemented agents that apply Kalman and Interacting Multiple Model (IMM) adaptive filters as a part of ART trust models, and has run ART ...
Convergence of AFRAS vs. AlphaBeta with StdDvt=33
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Another approach when agents are acting in uncertain environments, is to apply adaptive filters such as Alpha Beta, Kalman and IMM [5, 6] . These filters have ...
AAMAS-TRUST 2008: Estoril, Portugal
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Noise Detection in Agent Reputation Models Using IMM Filtering. 25-42. view. electronic edition via DOI · unpaywalled version · references & citations.
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The Institute of Mathematical Sciences
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... Models -- Noise Detection in Agent Reputation Models Using IMM Filtering -- Towards Improved Partner Selection Using ... reputation technologies, and analysis and ...
Avoiding Malicious Agents in E-Commerce Using Fuzzy ...
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An extension of a fuzzy reputation agent trust model (AFRAS) in the ART testbed ... Noise Detection in Agent Reputation Models Using IMM Filtering · Carbó.
Subjective Trust Inferred by Kalman Filtering vs. a Fuzzy ...
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This paper proposes a method based on fuzzy logic that has been successfully compared with several alternatives to be applied when there are no universally ...