Name
Abstract | ||
|---|---|---|
Since electronic and open environments became a reality, computational models of trust and reputation have attracted increasing interest in the field of multi-agent systems (MAS). 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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-87654-0_16 | ESAW |
Keywords | Field | DocType |
complex reasoning mechanism,reputation model,lrep language,cognitive agent,autonomous agent,account direct experience,resulting information,computational model,computational trust,party information,virtual society,multi agent system,computer model | Data science,Ontology,Autonomous agent,Argument,Normative,Description logic,Knowledge management,Computational trust,Engineering,Direct experience,Reputation | Conference |
Volume | ISSN | Citations |
4995 | 0302-9743 | 4 |
PageRank | References | Authors |
0.44 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isaac Pinyol | 1 | 174 | 10.14 |
| Jordi Sabater-Mir | 2 | 573 | 41.11 |