Abstract | ||
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This paper formalizes the concept of Collective Intelligence (C-I). Application of the Random PROLOG Processor (RPP) has allowed us to model the phenomenon of C-I in social structures, and to define a C-I measure (IQS). This approach works for various beings: bacterialinsect colonies to human social structures. It gives formal justification
to well-known patterns of behavior in social structures. Some other social phenomenon can be explained as optimization toward
higher IQS. The definition of C-I is based on the assumption that it is a specific property of a social structure, initialized when individuals organize, acquiring
the ability to solve more complex problems than individuals can. This property amplifies if the social structure improves
its synergy. The definition covers both cases when C-I results in physical synergy or in logical cooperative problem-solving.
|
Year | DOI | Venue |
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1999 | 10.1016/S0167-739X(99)00136-3 | Future Generation Computer Systems - Special issue on bio-impaired solutions to parallel processing problems |
Keywords | Field | DocType |
iq,prolog,human behavior,social structure,collective intelligence,synergy,model of computation,spectrum | Social phenomenon,Collaborative learning,Adaptive system,Collective intelligence,Computer science,Cognitive psychology,Formal description,Prolog,Social structure,Artificial intelligence,Phenomenon,Distributed computing | Conference |
Volume | Issue | ISSN |
17 | 4 | 0167-739X |
Citations | PageRank | References |
5 | 0.74 | 4 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
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Tadeusz Szuba | 1 | 31 | 9.68 |