Name
Abstract | ||
|---|---|---|
This paper introduces a new formal model, which generalizes current agent communication theories (basically the FIPA version of these theories) to handle probabilistic knowledge communication. Several questions about communication of probabilistic knowledge are discussed in the light of current theories of agent communication and it is argued that exists a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication. This gap creates serious theoretical problems if agents that reason probabilistically try to use communication framework provided by these theories. To diminish this gap it is proposed a modal probabilistic logic and a new communication framework composed of communication principles and acts for probabilistic knowledge communication. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11874850_18 | IBERAMIA-SBIA |
Keywords | Field | DocType |
knowledge representation,probabilistic knowledge communication framework,communication framework,probabilistic knowledge communication,communication principle,agent communication,probabilistic knowledge,semantic gap,new communication framework,formal analysis,modal probabilistic logic,current agent communication theory,probabilistic logic,artificial intelligent | Knowledge representation and reasoning,Computer science,Semantic gap,Communication theory,Formal specification,Multi-agent system,Artificial intelligence,Probabilistic logic,Formal methods,Semantics | Conference |
Volume | ISSN | ISBN |
4140 | 0302-9743 | 3-540-45462-4 |
Citations | PageRank | References |
4 | 0.53 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| João Carlos Gluz | 1 | 13 | 5.84 |
| Rosa Maria Viccari | 2 | 19 | 5.18 |
| Cecilia Dias Flores | 3 | 16 | 8.58 |
| Louise Seixas | 4 | 4 | 0.87 |