Socionics

Scalability of Complex Social Systems

By: Klaus Fischer (Editor), Michael Florian (Editor), Thomas Malsch (Editor)

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Paperback | 14 December 2005

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1 Thisbookis an outcomeof the SocionicsResearch Framework. Therootsof Socionics lie in the 1980s when computer scientists in search of new methods and techniques of distributed and coordinated problem-solving ?rst began to take an engineering interest in sociological concepts and theories. Just as biological phenomenaare conceived of as a source of inspiration for new technologies in the new research ?eld of bionics, c- puter scientists working in Distributed Arti?cial Intelligence (DAI) became interested in exploiting phenomena from the social world in order to construct Multiagent S- tems (MAS) and, generally, to build open agent societies or complex arti?cial social systems. Socionics is driven by the underlying assumption that there is an inherent parallel betweenthe'up-scaling'ofMASandthe'micro-macrolink'insociology. Accordingly, one of the fundamental challenges of Socionics is to build large-scale multiagent s- tems which are capable of managing 'societies of autonomous computational agents . . . in large open information environments' ([9, p. 112]). As more sophisticated inter- tions become common in open MAS, the demand to design reliable mechanisms co- dinating large-scale networks of intelligent agents grows. Suitable design mechanisms may enhance the developement of 'truly open and fully scalable multiagent systems, across domains, with agents capable of learning appropriate communications pro- cols upon entry to a system, and with protocols emerging and evolving through actual agent interactions' ([10, pp. 3]) which is considered as the ultimate goal in ful?lling the roadmap of agent technology.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Systems Analysis & Design Information Technology General Issue Ethical & Social Aspects of IT Databases Data Capture & Analysis Artificial Intelligence Expert Systems & Knowledge-Based Systems Sociology & Anthropology Sociology

Contribution of Socionics to the Scalability of Complex Social Systems: Introduction	p. 1
Multi-layer Modelling
From "Clean" Mechanisms to "Dirty" Models: Methodological Perspectives of an Up-Scaling of Actor Constellations	p. 15
Sociological Foundation of the Holonic Approach Using Habitus-Field-Theory to Improve Multiagent Systems	p. 36
Linking Micro and Macro Description of Scalable Social Systems Using Reference Nets	p. 51
Concepts for Organization and Self-Organization
Building Scalable Virtual Communities - Infrastructure Requirements and Computational Costs	p. 68
Organization: The Central Concept for Qualitative and Quantitative Scalability	p. 84
Agents Enacting Social Roles. Balancing Formal Structure and Practical Rationality in MAS Design	p. 104
Scalability, Scaling Processes, and the Management of Complexity. A System Theoretical Approach	p. 132
The Emergence of Social Structures On the Organisation of Agent Experience: Scaling Up Social Cognition	p. 155
Trust and the Economy of Symbolic Goods: A Contribution to the Scalability of Open Multi-agent Systems	p. 176
Coordination in Scaling Actor Constellations	p. 199
From Conditional Commitments to Generalized Media: On Means of Coordination Between Self-Governed Entities	p. 218
From an Agent-Centred to a Communication-Centred Perspective
Scalability and the Social Dynamics of Communication. On Comparing Social Network Analysis and Communication-Oriented Modelling as Models of Communication Networks	p. 242
Multiagent Systems Without Agents - Mirror-Holons for the Compilation and Enactment of Communication Structures	p. 263
Communication Systems: A Unified Model of Socially Intelligent Systems	p. 289
Author Index	p. 315
Table of Contents provided by Publisher. All Rights Reserved.

Socionics

Scalability of Complex Social Systems

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Paperback

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