Socionics: Scalability of Complex Social Systems

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Klaus Fischer, Michael Florian, Thomas Malsch
Springer, 22.12.2005 - 315 Seiten
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This book includes contributions from an interdisciplinary field of research we call Socionics. Based on a close cooperation between sociologists and researchers from distributed artificial intelligence and multiagent systems, Socionics deals with the exploration of the emergence and dynamics of artificial social systems, agent societies, as well as hybrid man-machine societies. The aim is both to develop intelligent computer technologies by picking up theoretical concepts and methods from sociology and to improve sociological models of societies and organizations by using advanced computer technology. The 15 articles in this state-of-the-art survey combine selected contributions from sociology and informatics on the modeling, construction, and study of complex social systems with special regard to the problem of scaling multiagent systems. The discussion focuses on four specific research areas: multi-layer modeling, organization and self-organization, emergence of social structures, and paths from an agent-centered to a communication-centered perspective in modeling multiagent systems.
 

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Inhalt

Methodological Perspectives
15
Sociological Foundation of the Holonic Approach Using
36
Linking Micro and Macro Description of Scalable Social Systems Using
51
Concepts for Organization and SelfOrganization
68
The Central Concept for Qualitative and Quantitative Scalability
84
Agents Enacting Social Roles Balancing Formal Structure and Practical
104
Scalability Scaling Processes and the Management of Complexity A System
132
The Emergence of Social Structures
155
A Contribution to the Scalability
176
Coordination in Scaling Actor Constellations
199
On Means
218
Scalability and the Social Dynamics of Communication On Comparing
242
Multiagent Systems Without Agents MirrorHolons for the Compilation
263
A Unified Model of Socially Intelligent Systems
289
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