BibSonomy publications for /author/BonabeauMon Dec 19 23:45:54 CET 2011Scientific American60-69Scale-Free Networks2882003networks power-law preferential-attachment scale-free Mon Dec 05 00:00:00 CET 2011CoRRDetection and emergenceabs/1108.42792011dblp Thu Nov 17 00:00:00 CET 2011Artificial Life297-116A Brief History of Stimergy.51999dblp Thu Nov 17 00:00:00 CET 2011Artificial Life295-96Editor's Introduction: Stigmergy.51999dblp Thu Nov 17 00:00:00 CET 2011Artificial Life3303-325Why Do We Need Artificial Life?11994dblp Thu Nov 17 00:00:00 CET 2011Artificial Life3219-226Pattern Formation and Optimization in Army Ant Raids.62000dblp Thu Nov 17 00:00:00 CET 2011Artificial Life3191-211From Classical Models of Morphogenesis to Agent-Based Models of Pattern Formation.31997dblp Thu Jul 07 00:00:00 CEST 2011GECCO (2)conf/gecco/2004-21151-1161Lecture Notes in Computer ScienceExploratory Data Analysis with Interactive Evolution.31032004dblp Thu Jun 16 00:00:00 CEST 2011IATAconf/iata/199860-71Lecture Notes in Computer ScienceRouting in Telecommunications Networks with Ant-Like Agents.14371998dblp Wed Apr 13 11:34:02 CEST 20111Santa Fe Institute Studies in the Sciences of ComplexitySwarm Intelligence: From Natural to Artificial Systems1999swarms Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.Wed Feb 02 10:46:48 CET 2011JulySanta Fe Institute Studies in the Sciences of Complexity SeriesSwarm Intelligence: {F}rom Natural to Artificial Systems1999imported Tue Nov 30 00:00:00 CET 2010Natural Computing3655-657Swarm intelligence: the state of the art special issue of natural computing.92010dblp Fri Aug 13 17:48:07 CEST 2010Proceedings of the National Academy of Sciences900037280--7Agent-based modeling: Methods and techniques for simulating human systems992002myown Wed Jul 21 15:47:33 CEST 2010Theor. Comput. Sci.212081-2083Swarm intelligence theory: A snapshot of the state of the art.4112010dblp Mon Jun 28 20:17:33 CEST 2010New YorkSwarm intelligence : from natural to artificial systems1999UNUSED alife ai Thu Jun 25 16:52:04 CEST 2009Scientific American60-69Scale-Free Networks2882003science.statistics.powerlaw cites.gradu research.conceptual.graphs Mon Jun 22 10:05:09 CEST 2009Swarm Intelligence: From Natural to Artificial Systems1999imported Wed May 27 00:00:00 CEST 2009IEEE Trans. Evolutionary Computation5591-603A Drug Candidate Design Environment Using Evolutionary Computation.122008dblp Sat May 16 04:48:03 CEST 2009Agent-based modeling: Methods and techniques for simulating human systems992002abm, models Sat May 16 04:48:03 CEST 2009Proceedings of the National Academy of SciencesMay37280--7287Agent-based modeling: Methods and techniques for simulating human systems992002imported