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Socionics - Scalability of Complex Social Systems (Paperback, 2005 ed.)
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Socionics - Scalability of Complex Social Systems (Paperback, 2005 ed.)
Series: Lecture Notes in Artificial Intelligence, 3413
Expected to ship within 10 - 15 working days
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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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