title: Anthropic agency: a multiagent system for physiological processes.
abstract: Multiagent systems are powerful and flexible tools for modelling and regulating complex phenomena. In fact, a way to manage the complexity of a phenomenon is to decompose it in such a way that each agent embeds the control model for a portion of the phenomenon. In this perspective, the cooperative interaction among the agents results in the controller for the whole phenomenon. Since the portions in which the phenomenon is decomposed may overlap, the actions the single agents undertake to regulate these portions may conflict; hence a balanced negotiation is required. A class of complex phenomena that present several difficulties in their satisfactory modelling and controlling is the class of physiological processes. The purpose of this paper is to introduce a general multiagent architecture, called anthropic agency, for the modelling and the regulation of complex physiological phenomena.
authors.affiliation: Artificial Intelligence and Robotics Project, Dipartimento di Elettronica e Informazione, Politecnico di Milano, Piazza Leonardo da Vinci 32, I-20133 Milano, Italy. amigoni@elet.polimi.it
authors.forename: Francesco
authors.initials: F
authors.lastname: Amigoni
authors.forename: Marco
authors.initials: M
authors.lastname: Dini
authors.forename: Nicola
authors.initials: N
authors.lastname: Gatti
authors.forename: Marco
authors.initials: M
authors.lastname: Somalvico
mesh_terms: D000818:Animals; D001185:Artificial Intelligence; D003198:Computer Simulation; D005947:Glucose / Q000378:metabolism*; D007004:Hypoglycemic Agents / Q000494:pharmacology; D007328:Insulin / Q000494:pharmacology; D008490:Medical Informatics; D008962:Models, Theoretical; D010827:Physiology; D012984:Software
chemical_list: D007004:Hypoglycemic Agents; D007328:Insulin; D005947:Glucose