Semiotics, Multi-Agent Systems and Organizations

H.W.M. Gazendam; René J. Jorna

Semiotics, Multi-Agent Systems and Organizations

H.W.M. Gazendam, René J. Jorna

Faculty of Behavioural, Management and Social Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

157 Downloads (Pure)

Abstract

Multi-agent systems are promising as models of organization because they are based on the idea that most work in human organizations is done based on intelligence, communication, cooperation, and massive parallel processing. They offer an alternative for system theories of organization, which are rather abstract of nature and do not pay attention to the agent level. In contrast, classical organization theories offer a rich source of inspiration for developing multi-agent models because of their focus on the agent level. This paper studies the plausibility of theoretical choices in the construction of multi-agent systems. A main problem in the construction of psychologically plausible computer agents is the integration of response function systems with representational systems.

Original language	Undefined
Title of host publication	Proceedings of the Joint Conference on the Science and Technology of Intelligent Systems
Place of Publication	Gaithersburg, MD, USA, Piscataway, NJ
Publisher	Groningen University
Pages	84-89
Number of pages	6
ISBN (Print)	0780344233
Publication status	Published - 14 Sept 1998
Event	Joint Conference on the Science and Technology of Intelligent Systems - Gaithersburg, MD, USA Duration: 14 Sept 1998 → 17 Sept 1998

Publication series

Name
Publisher	Groningen University

Conference

Conference	Joint Conference on the Science and Technology of Intelligent Systems
Period	14/09/98 → 17/09/98
Other	September 14-17, 1998

Keywords

IR-95912
METIS-102217

Access to Document

Semiotics, Multi-Agent Systems and Organizations

Cite this

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title = "Semiotics, Multi-Agent Systems and Organizations",

abstract = "Multi-agent systems are promising as models of organization because they are based on the idea that most work in human organizations is done based on intelligence, communication, cooperation, and massive parallel processing. They offer an alternative for system theories of organization, which are rather abstract of nature and do not pay attention to the agent level. In contrast, classical organization theories offer a rich source of inspiration for developing multi-agent models because of their focus on the agent level. This paper studies the plausibility of theoretical choices in the construction of multi-agent systems. A main problem in the construction of psychologically plausible computer agents is the integration of response function systems with representational systems.",

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year = "1998",

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publisher = "Groningen University",

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Semiotics, Multi-Agent Systems and Organizations. / Gazendam, H.W.M.; Jorna, René J.
Proceedings of the Joint Conference on the Science and Technology of Intelligent Systems. Gaithersburg, MD, USA, Piscataway, NJ: Groningen University, 1998. p. 84-89.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Semiotics, Multi-Agent Systems and Organizations

AU - Gazendam, H.W.M.

AU - Jorna, René J.

PY - 1998/9/14

Y1 - 1998/9/14

N2 - Multi-agent systems are promising as models of organization because they are based on the idea that most work in human organizations is done based on intelligence, communication, cooperation, and massive parallel processing. They offer an alternative for system theories of organization, which are rather abstract of nature and do not pay attention to the agent level. In contrast, classical organization theories offer a rich source of inspiration for developing multi-agent models because of their focus on the agent level. This paper studies the plausibility of theoretical choices in the construction of multi-agent systems. A main problem in the construction of psychologically plausible computer agents is the integration of response function systems with representational systems.

AB - Multi-agent systems are promising as models of organization because they are based on the idea that most work in human organizations is done based on intelligence, communication, cooperation, and massive parallel processing. They offer an alternative for system theories of organization, which are rather abstract of nature and do not pay attention to the agent level. In contrast, classical organization theories offer a rich source of inspiration for developing multi-agent models because of their focus on the agent level. This paper studies the plausibility of theoretical choices in the construction of multi-agent systems. A main problem in the construction of psychologically plausible computer agents is the integration of response function systems with representational systems.

KW - IR-95912

KW - METIS-102217

M3 - Conference contribution

SN - 0780344233

SP - 84

EP - 89

BT - Proceedings of the Joint Conference on the Science and Technology of Intelligent Systems

PB - Groningen University

CY - Gaithersburg, MD, USA, Piscataway, NJ

T2 - Joint Conference on the Science and Technology of Intelligent Systems

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