Publication Type: Conference Paper
Source: Lecture Notes in Computer Science (Selected publication from The Eighth Annual International Workshop "Engineering Societies in the Agents World" (ESAW 07), Athens, Greece), p.192--207 (2007)
In the field of multiagent systems (MAS), the computational models of trust and reputation have attracted increasing interest since electronic and open environments became a reality. In virtual societies of human actors very well-known mechanisms are already used to control non normative agents, for instance, the eBay scoring system. In virtual societies of artificial and autonomous agents, the same necessity arises, and several computational trust and reputation models have appeared in literature to cover this necessity. Typically, these models provide evaluations of agents' performance in a specific context, taking into account direct experiences and third party information. This last source of information is the communication of agents' own opinions. When dealing with cognitive agents endowed with complex reasoning mechanisms, we would like that these opinions could be justified in a way such that the resulting information was more complete and reliable. In this paper we present LRep, a language based on an existing ontology of reputation that allows building justifications of communicated social evaluations.