Fuzzy argumentation for trust
Fuzzy argumentation for trust
In an open Multi-Agent System, the goals of agents acting on behalf of their owners often conflict with each other. Therefore, a personal agent protecting the interest of a single user cannot always rely on them. Consequently, such a personal agent needs to be able to reason about trusting (information or services provided by) other agents. Existing algorithms that perform such reasoning mainly focus on the immediate utility of a trusting decision, but do not provide an explanation of their actions to the user. This may hinder the acceptance of agent-based technologies in sensitive applications where users need to rely on their personal agents. Against this background, we propose a new approach to trust based on argumentation that aims to expose the rationale behind such trusting decisions. Our solution features a separation of opponent modeling and decision making. It uses possibilistic logic to model behavior of opponents, and we propose an extension of the argumentation framework by Amgoud and Prade to use the fuzzy rules within these models for well-supported decisions.
214-230
Stranders, Ruben
cca79d07-0668-4231-a80f-5fae6617644c
de Weerdt, Mathijs M.
bcbaa035-9702-443e-9268-0064e84a29a8
Witteveen, Cees
21193b2a-89a0-4b7a-99e0-991301ea24c8
2008
Stranders, Ruben
cca79d07-0668-4231-a80f-5fae6617644c
de Weerdt, Mathijs M.
bcbaa035-9702-443e-9268-0064e84a29a8
Witteveen, Cees
21193b2a-89a0-4b7a-99e0-991301ea24c8
Stranders, Ruben, de Weerdt, Mathijs M. and Witteveen, Cees
(2008)
Fuzzy argumentation for trust.
Lecture Notes in Computer Science, 5056, .
Abstract
In an open Multi-Agent System, the goals of agents acting on behalf of their owners often conflict with each other. Therefore, a personal agent protecting the interest of a single user cannot always rely on them. Consequently, such a personal agent needs to be able to reason about trusting (information or services provided by) other agents. Existing algorithms that perform such reasoning mainly focus on the immediate utility of a trusting decision, but do not provide an explanation of their actions to the user. This may hinder the acceptance of agent-based technologies in sensitive applications where users need to rely on their personal agents. Against this background, we propose a new approach to trust based on argumentation that aims to expose the rationale behind such trusting decisions. Our solution features a separation of opponent modeling and decision making. It uses possibilistic logic to model behavior of opponents, and we propose an extension of the argumentation framework by Amgoud and Prade to use the fuzzy rules within these models for well-supported decisions.
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Published date: 2008
Additional Information:
ISBN 978-3-540-88832-1
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 268344
URI: http://eprints.soton.ac.uk/id/eprint/268344
ISSN: 0302-9743
PURE UUID: 41a654a1-52ba-4ad1-8c74-142c6aa73e15
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Date deposited: 27 Dec 2009 14:37
Last modified: 14 Mar 2024 09:08
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Contributors
Author:
Ruben Stranders
Author:
Mathijs M. de Weerdt
Author:
Cees Witteveen
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