Advances in Artificial Life: 10th European Conference, ECAL 2009, Budapest, Hungary, September 13-16, 2009, Revised Selected Papers
György Kampis, István Karsai, Eörs Szathmáry
Springer Science & Business Media, May 24, 2011 - Computers - 481 pages
The two-volume set LNAI 5777 and LNAI 5778 constitutes the thoroughly refereed post-conference proceedings of the 10th European Conference, ECAl 2009, held in Budapest, Hungary, in September 2009. The 141 revised full papers presented were carefully reviewed and selected from161 submissions. The papers are organized in topical sections on evolutionary developmental biology and hardware, evolutionary robotics, protocells and prebiotic chemistry, systems biology, artificial chemistry and neuroscience, group selection, ecosystems and evolution, algorithms and evolutionary computation, philosophy and arts, optimization, action, and agent connectivity, and swarm intelligence.
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Abstract action adaptive agents aggregation ALife alleles Ant Colony Optimization approach Artificial autocatalytic autocatalytic systems bees behaviour Berlin Heidelberg 2011 biological Cartesian-closed categories cells cellular automata changes cognitive colony complex component computational creativity context converge cooperation defined deme distribution domain dynamics ECAL ecosystem encoding entities environment evaluation evolution evolutionary algorithms Evolutionary Computation evolve experiments fitness foragers function gene genome genotype group selection Heidelberg honeybees HybrID HyperNEAT individual selection initial input interactions Kampis Karsai Lamarckian LNCS mechanisms method mutation neural network nodes NPSOE observed optimal organisms output parameter particles performance phenotype population possible problem proposed Q-learning random randomly represented self-organization sensors sequence simulation social solution spatial species Springer Springer-Verlag Berlin Heidelberg strategy exchanges structure Swarm Intelligence swarm robots Szathmáry Eds target tasks theory threshold update variable Zipf’s law