The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Enforcing agent communication laws by means of a reflective framework
Proceedings of the 2004 ACM symposium on Applied computing
Journal of Network and Computer Applications
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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.