@article{697156,
      author = {Cagnoni, Stefano, and Mirolli, Marco, and Villani, Marco,},
      url = {http://library.usi.edu/record/697156},
      title = {Evolution, complexity and artificial life [electronic  resource]  /},
      abstract = {Traditionally, artificial evolution, complex systems, and  artificial life were separate fields, with their own  research communities, but we are now seeing increased  engagement and hybridization. Evolution and complexity  characterize biological life but they also permeate  artificial life, through direct modeling of biological  processes and the creation of populations of interacting  entities from which complex behaviors can emerge and  evolve. This latter consideration also indicates the  breadth of the related topics of interest, and of the  different study viewpoints, ranging from purely scientific  and exploratory approaches aimed at verifying biological  theories to technology-focused applied research aimed at  solving difficult real-world problems. This edited book is  structured into sections on research issues, biological  modeling, mind and society, applications, and evolution.  The contributing authors are among the leading scientists  in these fields, and their chapters describe interesting  ideas and results in topics such as artefacts, evolutionary  dynamics, gene regulatory networks, biological modeling,  cell differentiation, chemical communication, cumulative  learning, embodied agents, cultural evolution, an a-life  approach to games, nanoscale search by molecular spiders,  using genetic programming for disease survival prediction,  a neuroevolutionary approach to electrocardiography,  trust-adaptive grid computing, detecting cheating bots in  online games, distribution search in evolutionary  multiobjective optimization, and differential evolution  implemented on multicore CPUs. The book will be of interest  to researchers in the fields of artificial intelligence,  artificial life, and computational intelligence.},
      doi = {https://doi.org/10.1007/978-3-642-37577-4},
      recid = {697156},
      pages = {1 online resource.},
}