Expressing Evolutionary Computation, Genetic Programming, Artificial Life, Autonomous Agents, and DNA-Based Computing in \$-Calculus

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  author =       "Eugene Eberbach",
  title =        "Expressing Evolutionary Computation, Genetic
                 Programming, Artificial Life, Autonomous Agents, and
                 {DNA}-Based Computing in \$-Calculus",
  booktitle =    "Proceedings of the 2000 Congress on Evolutionary
                 Computation CEC00",
  year =         "2000",
  pages =        "1361--1368",
  volume =       "2",
  address =      "La Jolla Marriott Hotel La Jolla, California, USA",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "6-9 " # jul,
  organisation = "IEEE Neural Network Council (NNC), Evolutionary
                 Programming Society (EPS), Institution of Electrical
                 Engineers (IEE)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, new
                 paradigms, L-calculus, DNA-based computing, artificial
                 life, autonomous agents, cost-optimisation, distributed
                 complex processes, distributed interactive systems,
                 evolutionary computation, expert systems, genetic
                 programming, machine learning, neural nets, polyadic
                 process algebra, resource bounded computation,
                 uncertain information, artificial life, biocomputing,
                 evolutionary computation, process algebra, software
                 agents, uncertainty handling",
  ISBN =         "0-7803-6375-2",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1109/CEC.2000.870810",
  size =         "8 pages",
  abstract =     "Genetic programming, autonomous agents, artificial
                 life and evolutionary computation share many common
                 ideas. They generally investigate distributed complex
                 processes, perhaps with the ability to interact. It
                 seems to be natural to study their behavior using
                 process algebras, which were designed to handle
                 distributed interactive systems. \$-calculus is a
                 higher-order polyadic process algebra for resource
                 bounded computation. It has been designed to handle
                 autonomous agents, evolutionary computing, neural nets,
                 expert systems, machine learning, and distributed
                 interactive AI systems, in general. \$-calculus has
                 built-in cost-optimisation mechanism allowing to deal
                 with nondeterminism, incomplete and uncertain
                 information. In this paper, we express in \$-calculus
                 several subareas of evolutionary computation, including
                 genetic programming, artificial life, autonomous agents
                 and DNA-based computing.",
  notes =        "CEC-2000 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 IEEE Catalog Number = 00TH8512,

                 Library of Congress Number = 00-018644 Revision of

                 \$-calculus == cost-calculus",

Genetic Programming entries for Eugene Eberbach