Using conceptual graphs to represent agent semantic constituents.

Abstract. This paper develops two agent knowledge bases in conceptual graph form, one using the KD45 underlying logical model for belief and one without any underlying logical model for belief. Action-attitudes in the knowledge bases provide contexts that represent the agents' mental attitude towards, and willingness to act upon information in the knowledge bases. Preconditions for communication acts are also represented in the knowledge bases as well as mental attitude changes following communications. Conceptual graphs are a flexible and extendable form of knowledge representation that is used to capture and represent semantic constituents of communications in a form that may be used by software agents. The knowledge base representations in this paper provide software agents a perspective from which they may reason about the communicating agent's beliefs and communication actions