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Organizational Principles for Multi-Agent Architectures

2004. Buch. x, 204 S.: 25 s/w-Tabelle, Bibliographien. Softcover
Birkhäuser ISBN 978-3-7643-7213-2
Format (B x L): 17,8 x 25,4 cm
Gewicht: 340 g
In englischer Sprache
Das Werk ist Teil der Reihe:
1. 1 Background In this work, we develop a framework for the design of multi-agent systems inspired by (human) organizational principles. Organizations are complex entities formed to ov- come various limitations of individual agencies, such as cognitive, physical, temporal and institutional limitations. There is a parallel between the complexity of organizations and multi-agent systems. Therefore, we explore the use of concepts, methods and techniques from human organizational design as architectural principles for multi-agent systems. Three research lines are presented: organizational modeling and coordination, interop- ability and agent models. Organizational modeling and coordination are concerned with how resources (i. e. agents) can be identi?ed and related to each other. In order to have agents cooperate, several issues of interoperability have to be addressed. Agent models deal with the design of individual intelligent software agents, taking into account typical features of agent intelligence. Every (human) activity raises two challenges: division of labor and coordi- tion [Mintzberg, 1993]. Division of labor is the decomposition of work (or goals) into various distinct tasks. Coordination refers to managing relations between these tasks to carry out the work. The patterns of division of labor, responsibilities (people who do the work), clustering of responsibilities into units and coordination between units can be de?ned by organizational structures [Galbraith, 1973]. The design of an organization should cover how one or more actors are engaged in one or more tasks, where knowledge, capabilities and resources are distributed.

Audience

(Multi-)Agent engineers and researchers; ontology engineers and researchers

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Introduction of several human organizational principles into multi-agent architecture Use of industry-strength business cases in the logistics and insurance domain Multi-disciplinary research, taking into account multi-agent organizations, coordination mechanisms, agent models and message content ontologies