Socionics: Scalability of Complex Social SystemsKlaus Fischer, Michael Florian, Thomas Malsch Springer Science & Business Media, 2005. gada 14. dec. - 313 lappuses 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. |
Saturs
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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Socionics: Scalability of Complex Social Systems Klaus Fischer,Michael Florian,Thomas Malsch Ierobežota priekšskatīšana - 2005 |
Socionics: Scalability of Complex Social Systems Klaus Fischer,Michael Florian,Thomas Malsch Ierobežota priekšskatīšana - 2005 |
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able according action actors agents allows analysis application approach architecture Artificial Intelligence aspects Autonomous basic behaviour build commitments communication complexity concept considered constellations coordination decision defined delegation depends described developed Distributed dynamic edges effects elements emergence entities example exchange exist expectation experiences field first formal forms frame function given goals holonic human important increase individual influence interaction interests International involved issue kind knowledge means mechanisms messages Mirror-Holon Multi-Agent Systems negotiation networks node normative observed operations organisational organizations particular performance perspective population positions possible practical Press probability problem reason reference relations represented requires respect result roles scalability scaling selection semantics situation social social structures social systems society sociological Socionics specific step strategy structures symbolic task theory tion trust types University