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Organizational Principles for Multi-Agent Architectures
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 limitati...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Basel :
Birkhäuser Basel : Imprint: Birkhäuser,
2005.
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| Edición: | 1st ed. 2005. |
| Colección: | Whitestein Series in Software Agent Technologies and Autonomic Computing
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-7643-7318-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220117130500.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2005 sz | s |||| 0|eng d | ||
| 020 | |a 9783764373184 |9 978-3-7643-7318-4 | ||
| 024 | 7 | |a 10.1007/b137137 |2 doi | |
| 050 | 4 | |a Q334-342 | |
| 050 | 4 | |a TA347.A78 | |
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| 100 | 1 | |a Aart, Chris van. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Organizational Principles for Multi-Agent Architectures |h [electronic resource] / |c by Chris van Aart. |
| 250 | |a 1st ed. 2005. | ||
| 264 | 1 | |a Basel : |b Birkhäuser Basel : |b Imprint: Birkhäuser, |c 2005. | |
| 300 | |a X, 204 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Whitestein Series in Software Agent Technologies and Autonomic Computing | |
| 505 | 0 | |a Agent Organization Framework -- Coordination Strategies for Multi-Agent Systems -- Five Capabilities Model -- Interoperation within a Complex Multi-Agent Architecture -- Message Content Ontologies -- Conclusions. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer science. | |
| 650 | 0 | |a Application software. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Theory of Computation. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783764390570 |
| 776 | 0 | 8 | |i Printed edition: |z 9783764372132 |
| 830 | 0 | |a Whitestein Series in Software Agent Technologies and Autonomic Computing | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/b137137 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||