Computational Collective IntelligenceThis 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. |
Contents
IntelligenceOur Present State of Understanding | 11 |
Problems when a Social Structure Grows | 131 |
66 | 157 |
Copyright | |
7 other sections not shown
Common terms and phrases
abilities abstract according activity agents algorithm allowed applications approach artificial assumed basic basis behavior called clause collective intelligence communication complexity computational computational space concept considered cooperation create defined definition described designed difficulties direct discussed displacements dynamical efficient elements emerge environment evaluation example execution exists experiments fact factors Figure finally formal function given goals human implemented important individual inference inference process information molecules interaction interpreted language later logical look measure membrane memory model of computations multiset nature necessary objects observed operations organization parallel performance point of view possible present probability problem processor production PROLOG properties proposed random rendezvous representing result rules simple simulation single social structure solution solve specific Step tasks variables
References to this book
Intelligent Cities and Globalisation of Innovation Networks Nicos Komninos No preview available - 2008 |