Evolution and Hypercomputing in Global Distributed                  Evolvable Virtual Machines Environment 
Created by W.Langdon from
gp-bibliography.bib Revision:1.8620
- @InProceedings{DBLP:conf/esoa/NowostawskiP06,
 
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  author =       "Mariusz Nowostawski and Martin K. Purvis",
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  title =        "Evolution and Hypercomputing in Global Distributed
Evolvable Virtual Machines Environment",
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  booktitle =    "4th International Workshop on Engineering
Self-Organising Systems, ESOA 2006",
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  year =         "2006",
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  editor =       "Sven Brueckner and Salima Hassas and Mark Jelasity and 
Daniel Yamins",
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  publisher =    "Springer",
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  series =       "Lecture Notes in Computer Science",
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  volume =       "4335",
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  pages =        "176--191",
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  address =      "Hakodate, Japan",
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  month =        may # " 9",
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  note =         "Revised and Invited Papers, 2007",
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  keywords =     "genetic algorithms, genetic programming",
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  isbn13 =       "978-3-540-69867-8",
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  DOI =          "
10.1007/978-3-540-69868-5_12",
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  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
Citations