Reasoning with Categories for Trusting Strangers: a Cognitive Architecture
Reasoning with Categories for Trusting Strangers: a Cognitive Architecture
A crucial issue for agents in open systems is the ability to filter out information sources in order to build an image of their counterparts, upon which a subjective evaluation of trust as a promoter of interactions can be assessed. While typical solutions discern relevant information sources by relying on previous experiences or reputational images, this work presents an alternative approach based on the cognitive ability to: (i) analyze heterogeneous information sources along different dimensions; (ii) ascribe qualities to unknown counterparts based on reasoning over abstract classes or categories; and, (iii) learn a series of emergent relationships between particular properties observable on other agents and their effective abilities to fulfill tasks. A computational architecture is presented allowing cognitive agents to dynamically assess trust based on a limited set of observable properties, namely explicitly readable signals (Manifesta) through which it is possible to infer hidden properties and capabilities (Krypta), which finally regulate agents' behavior in concrete work environments. Experimental evaluation discusses the effectiveness of trustor agents adopting different strategies to delegate tasks based on categorization.
Venanzi, Matteo
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Piunti, Michele
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Falcone, Rino
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Castelfranchi, Cristiano
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Venanzi, Matteo
ba24a77f-31a6-4c05-a647-babf8f660440
Piunti, Michele
6a2ce880-5439-412b-9100-17cf294f2911
Falcone, Rino
a5ae69f6-abf4-44db-8ddc-ff924920330f
Castelfranchi, Cristiano
16ba2942-a768-4918-a6c7-6fd3c7cbbf39
Venanzi, Matteo, Piunti, Michele, Falcone, Rino and Castelfranchi, Cristiano
(2011)
Reasoning with Categories for Trusting Strangers: a Cognitive Architecture.
14th International Workshop on Trust in Agent Societies at AAMAS 2011, Taipei.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
A crucial issue for agents in open systems is the ability to filter out information sources in order to build an image of their counterparts, upon which a subjective evaluation of trust as a promoter of interactions can be assessed. While typical solutions discern relevant information sources by relying on previous experiences or reputational images, this work presents an alternative approach based on the cognitive ability to: (i) analyze heterogeneous information sources along different dimensions; (ii) ascribe qualities to unknown counterparts based on reasoning over abstract classes or categories; and, (iii) learn a series of emergent relationships between particular properties observable on other agents and their effective abilities to fulfill tasks. A computational architecture is presented allowing cognitive agents to dynamically assess trust based on a limited set of observable properties, namely explicitly readable signals (Manifesta) through which it is possible to infer hidden properties and capabilities (Krypta), which finally regulate agents' behavior in concrete work environments. Experimental evaluation discusses the effectiveness of trustor agents adopting different strategies to delegate tasks based on categorization.
Text
TRUST11.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 28 February 2011
Additional Information:
Event Dates: May 2011
Venue - Dates:
14th International Workshop on Trust in Agent Societies at AAMAS 2011, Taipei, 2011-05-01
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 272112
URI: http://eprints.soton.ac.uk/id/eprint/272112
PURE UUID: 3497b442-44eb-4e3e-8381-bacedf3d1c2f
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Date deposited: 21 Mar 2011 14:16
Last modified: 14 Mar 2024 09:47
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Contributors
Author:
Matteo Venanzi
Author:
Michele Piunti
Author:
Rino Falcone
Author:
Cristiano Castelfranchi
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