From manifesta to krypta

Autor: Michele Piunti, Matteo Venanzi, Cristiano Castelfranchi, Rino Falcone
Rok vydání: 2013
Předmět:
Zdroj: ACM transactions on intelligent systems and technology
4 (2013). doi:10.1145/2438653.2438662
info:cnr-pdr/source/autori:Falcone R.; Piunti M.; Venanzi M.; Castelfranchi C./titolo:From manifesta to krypta: The relevance of categories for trusting others/doi:10.1145%2F2438653.2438662/rivista:ACM transactions on intelligent systems and technology (Print)/anno:2013/pagina_da:/pagina_a:/intervallo_pagine:/volume:4
ISSN: 2157-6912
2157-6904
DOI: 10.1145/2438653.2438662
Popis: In this article we consider the special abilities needed by agents for assessing trust based on inference and reasoning. We analyze the case in which it is possible to infer trust towards unknown counterparts by reasoning on abstract classes or categories of agents shaped in a concrete application domain. We present a scenario of interacting agents providing a computational model implementing different strategies to assess trust. Assuming a medical domain, categories, including both competencies and dispositions of possible trustees, are exploited to infer trust towards possibly unknown counterparts. The proposed approach for the cognitive assessment of trust relies on agents' abilities to analyze heterogeneous information sources along different dimensions. Trust is inferred based on specific observable properties (manifesta), namely explicitly readable signals indicating internal features (krypta) regulating agents' behavior and effectiveness on specific tasks. Simulative experiments evaluate the performance of trusting agents adopting different strategies to delegate tasks to possibly unknown trustees, while experimental results show the relevance of this kind of cognitive ability in the case of open multiagent systems.
Databáze: OpenAIRE