Name
Abstract | ||
|---|---|---|
This paper discusses questions about communication of probabilistic knowledge in the fight of current theories of agent communication. It will argue that then: is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication, that creates very serious theoretical problems if agents that reason probabilistically try to tie the communication framework provided by these theories. The paper proposes a new formal model, which generalizes current agent communication theories (at least the standard FIPA version of these theories) to handle probabilistic knowledge communication. We propose a new probabilistic logic as the basis for the model and new communication principles and communicative acts to support this kind of communication. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-0-387-34747-9_4 | ARTIFICIAL INTELLIGENCE IN THEORY AND PRACTICE |
Keywords | Field | DocType |
communications management,probabilistic logic,semantic gap | Formal system,Knowledge representation and reasoning,Computer science,Communication theory,Semantic gap,Theoretical computer science,Human–computer interaction,Probabilistic argumentation,Probabilistic logic,Communications management,Formal verification | Conference |
Volume | ISSN | Citations |
217 | 1571-5736 | 2 |
PageRank | References | Authors |
0.39 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| João Carlos Gluz | 1 | 13 | 5.84 |
| Rosa Maria Vicari | 2 | 238 | 42.39 |
| Cecilia Dias Flores | 3 | 16 | 8.58 |
| Louise J Seixas | 4 | 27 | 2.36 |