Computational collective intelligence
This volume presents for the first time a complete theory of collective intelligence, helping to explain this growing area of non-deterministic computing. The author brings together ideas from different areas, making this a useful resource not only for computer scientists, but also for researchers working on problems in machine learning and artificial intelligence. Random PROLOG Processor (RPP) is used to illustrate the theory.
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IntelligenceOur Present State of Understanding
of Individual Intelligence
of Human Intelligence into Digital Computers
8 other sections not shown
abilities abstract Adleman's agents algorithm analog computers analyze animals ants applications approach artificial artificial intelligence assumed backtrack bacteria basic behavior Brownian clauses collective intelligence communication complexity computational collective intelligence computational process computational space concept considered cooperation create defined definition of collective denoted deterministic Deterministic Turing Machine difficulties digital computers discussed displacements DNA computer dynamic elements emerge environment evaluation example execution exists Expert System fact factors formal function given in Figure goals honeybees Horn clauses implemented individual intelligence inference process information molecules interaction language let us look logical mathematical membrane model of computations multiset NDTM necessary nondeterministic Nondeterministic Turing Machine observed operating organization parallel performance pheromones point of view possible predicate present problem PROLOG program quasi-chaotic Random PROLOG Processor rendezvous result rules Section simulation social structure solution solve specific tasks Turing Machine unification variables
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Intelligent Cities and Globalisation of Innovation Networks
No preview available - 2008