Modeling multi-agent communication contexts
Antonella Di Stefano, Corrado Santoro · 2002
This paper presents a model for agent communication and coordination which takes into account the "human-like" behavior of agents. We analyze the aspects of human communication and human social contexts to derive some characteristics which can be mapped onto the agent world. This leads us to provide a flexible way to express agent interactions and interaction dynamics. Based on this analysis, the paper proposes a formalization of interaction contexts by providing a model for agent messages and interaction laws; the latter are expressed by means of logic rules which specify communication constraints. The proposed models are the basis for a communication infrastructure for agents, offering a set of primitives suitable for message exchanging and rule handling.