Evolution and Hypercomputing in Global Distributed Evolvable Virtual Machines Environment
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- @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 = "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