Reasoning with Categories for Trusting Strangers: a Cognitive Architecture

Venanzi, Matteo, Piunti, Michele, Falcone, Rino and Castelfranchi, Cristiano (2011) Reasoning with Categories for Trusting Strangers: a Cognitive Architecture. In, 14th International Workshop on Trust in Agent Societies at AAMAS 2011 , Taipei,


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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: May 2011
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 272112
Accepted Date and Publication Date:
28 February 2011Accepted
Date Deposited: 21 Mar 2011 14:16
Last Modified: 31 Mar 2016 14:20
Further Information:Google Scholar

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