Researchers and industry are actively developing Software Agents
(SAs),
autonomous software
that will assist users in achieving various tasks, collaborate with them,
or
even act on their
behalf. To explore new interaction modes for SAs which need to be more
sophisticated than
simple exchanges of messages, we have analysed human conversations and
elaborated an
interaction approach for SAs based on a conversation model. Using this
approach, we have
developed a multi-agent system that simulates conversations involving SAs.
We assume that
SAs perform communicative acts to negotiate about mental states, such as
beliefs and goals,
turn-taking and special conversational sequences. We also assume that SAs
respect
communication protocols when they negotiate. In this paper,
we describe the conceptual
structure of communicative acts, the knowledge structures used to
model a conversation, and
the communication protocols. We show how an inference engine using
‘conversation-managing rules’ can be integrated in a conversational
agent responsible for interpreting
communicative acts, and we discuss the different kinds of rules that we
propose. The prototype
PSICO was implemented to simulate conversations on a computer platform.