Evolution and Hypercomputing in Global Distributed Evolvable Virtual Machines Environment

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@InProceedings{DBLP:conf/esoa/NowostawskiP06,
  author =       "Mariusz Nowostawski and Martin K. Purvis",
  title =        "Evolution and Hypercomputing in Global Distributed
                 Evolvable Virtual Machines Environment",
  booktitle =    "4th International Workshop on Engineering
                 Self-Organising Systems, ESOA 2006",
  year =         "2006",
  editor =       "Sven Brueckner and Salima Hassas and Mark Jelasity and 
                 Daniel Yamins",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4335",
  pages =        "176--191",
  address =      "Hakodate, Japan",
  month =        may # " 9",
  note =         "Revised and Invited Papers, 2007",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-69867-8",
  DOI =          "doi:10.1007/978-3-540-69868-5_12",
  abstract =     "Inspired by advances in evolutionary biology we
                 extended existing evolutionary computation techniques
                 and developed a self-organising, self-adaptable
                 cellular system for multitask learning, called
                 Evolvable Virtual Machine (EVM). The system comprises a
                 specialised program architecture for referencing and
                 addressing computational units (programs) and an
                 infrastructure for executing those computational units
                 within a global networked computing environment, such
                 as Internet. Each program can be considered to be an
                 agent and is capable of calling (co-operating with)
                 other programs. In this system, complex relationships
                 between agents may self-assemble in a symbiotic-like
                 fashion. In this article we present an extension of
                 previous work on the single threaded, single machine
                 EVM architecture for use in global distributed
                 environments. This paper presents a description of the
                 extended Evolvable Virtual Machine (EVM) computational
                 model, that can work in a global networked environment
                 and provides the architecture for asynchronous
                 massively parallel processing. The new computational
                 environment is presented and followed with a discussion
                 of experimental results.",
}

Genetic Programming entries for Mariusz Nowostawski Martin K Purvis

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