An agent-based approach for building complex software systems
Communications of the ACM
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Aggregation of Expert Opinions
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
On the simulation of multiagent-based regulators for physiological processes
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Anthropic agency: a multiagent system for physiological processes
Artificial Intelligence in Medicine
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Multiagent systems are powerful and flexible tools for controlling complex phenomena. The complexity of a phenomenon can be tackled in such a way that each agent embeds the controller for a portion of the phenomenon [3]. In this perspective, the interaction among the agents results in a complex controller for the whole phenomenon. The actions the agents undertake to control their portions of the phenomenon may conflict, as a result of the "overlapping" of the controlled portions; hence a mediated interaction is needed. A class of complex phenomena that present several difficulties in their satisfactory modeling and controlling is the class of physiological processes.We illustrate the negotiation paradigm of a general regulating multiagent architecture called anthropic agency.