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Organizational Principles for Multi-Agent Architectures: By Chris Van Aart (B18)
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN
- 9783764372132
About this product
Product Identifiers
Publisher
Springer Basel A&G
ISBN-10
3764372133
ISBN-13
9783764372132
eBay Product ID (ePID)
44172680
Product Key Features
Number of Pages
X, 204 Pages
Language
English
Publication Name
Organizational Principles for Multi-Agent Architectures
Publication Year
2004
Subject
Intelligence (Ai) & Semantics, Computer Science, Enterprise Applications / General
Type
Textbook
Subject Area
Computers
Series
Whitestein Series in Software Agent Technologies and Autonomic Computing Ser.
Format
Perfect
Dimensions
Item Height
0.2 in
Item Weight
13.4 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2004-062710
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.
Table Of Content
Agent Organization Framework.- Coordination Strategies for Multi-Agent Systems.- Five Capabilities Model.- Interoperation within a Complex Multi-Agent Architecture.- Message Content Ontologies.- Conclusions.
Synopsis
The general question addressed in this book "How can human organizational principles be used for multi-agent architectures?" is answered by an exploration of the possibilities to design multi-agent systems as artificial organizations. Key topics of this book: Framework for multi-agent system design, based on human organizational notions and principles for distributed intelligent systems design "Coordination mechanisms" in the form of "Problem Solving Methods" Multi-agent architecture capable of (semi)automatic reuse of Problem Solving Methods (PSMs) "ontology-based communication", 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., The general question addressed in this book "How can human organizational principles be used for multi-agent architectures?" is answered by an exploration of the possibilities to design multi-agent systems as artificial organizations.Key topics of this book:Framework for multi-agent system design, based on human organizational notions and principles for distributed intelligent systems design"Coordination mechanisms" in the form of "Problem Solving Methods"Multi-agent architecture capable of (semi)automatic reuse of Problem Solving Methods (PSMs)"ontology-based communication", The general question addressed in this book "How can human organizational principles be used for multi-agent architectures?" is answered by an exploration of the possibilities to design multi-agent systems as artificial organizations. Key topics of this book: - a framework for multi-agent system design, based on human organizational notions and principles for distributed intelligent systems design - "Coordination mechanisms" in the form of "Problem Solving Methods," which can assist "Managers" and agent engineers in reasoning about coordination - the "Five Capabilities (5e model" which is a conceptual framework bases on a generalization of typical agent intelligence competences, such as "autonomy," "interaction," "pro-activeness" and "reactiveness" - a multi-agent architecture capable of (semi)automatic reuse of Problem Solving Methods - "ontology-based communication," in which the meaning and intention of message contents in agent communication is specified in "message content ontologies.", 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.
LC Classification Number
Q334-342
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