The society of mind
Multi agent based simulation: beyond social simulation
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
A multiagent interaction paradigm for physiological process control
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Anthropic agency: a multiagent system for physiological processes
Artificial Intelligence in Medicine
Multiagent systems for cardiac pacing simulation and control
AI Communications - Agents Applied in Health Care
An algorithmic game theory study of wholesale electricity markets based on central auction
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
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The multiagent approach allows to effectively address and manage the complex regulation of physiological processes. In this paper we argue why multiagent regulating systems need to be simulated in order to assess the properties of interest. In particular, we consider a multiagent regulator of the glucose-insulin metabolism and we show how the effectiveness of its control activity and other salient properties of this system can be derived from simulation.