Expressing Evolutionary Computation, Genetic
Programming, Artificial Life, Autonomous Agents, and
DNA-Based Computing in \$-Calculus
E. Eberbach. Proceedings of the 2000 Congress on Evolutionary
Computation CEC00, Seite 1361--1368. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (6-9 July 2000)
Zusammenfassung
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.
Proceedings of the 2000 Congress on Evolutionary
Computation CEC00
Jahr
2000
Monat
6-9 July
Seiten
1361--1368
Verlag
IEEE Press
organisation
IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)
publisher_address
445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA
size
8 pages
isbn
0-7803-6375-2
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
eberbach:1998:xECGPALAADNAClc
\$-calculus == cost-calculus
%0 Conference Paper
%1 eberbach:2000:eecgpalaadc
%A Eberbach, Eugene
%B Proceedings of the 2000 Congress on Evolutionary
Computation CEC00
%C La Jolla Marriott Hotel La Jolla, California, USA
%D 2000
%I IEEE Press
%K algorithms, genetic new paradigms programming,
%P 1361--1368
%T Expressing Evolutionary Computation, Genetic
Programming, Artificial Life, Autonomous Agents, and
DNA-Based Computing in \$-Calculus
%U http://citeseer.ist.psu.edu/491674.html
%X 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.
%@ 0-7803-6375-2
@inproceedings{eberbach:2000:eecgpalaadc,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {La Jolla Marriott Hotel La Jolla, California, USA},
author = {Eberbach, Eugene},
biburl = {https://www.bibsonomy.org/bibtex/26aca35cafe2d127adb19e827bf00aff3/brazovayeye},
booktitle = {Proceedings of the 2000 Congress on Evolutionary
Computation CEC00},
interhash = {c00850ef7eb89339294317280d00bd50},
intrahash = {6aca35cafe2d127adb19e827bf00aff3},
isbn = {0-7803-6375-2},
keywords = {algorithms, genetic new paradigms programming,},
month = {6-9 July},
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
\cite{eberbach:1998:xECGPALAADNAClc}
\$-calculus == cost-calculus},
organisation = {IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)},
pages = {1361--1368},
publisher = {IEEE Press},
publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA},
size = {8 pages},
timestamp = {2008-06-19T17:39:01.000+0200},
title = {Expressing Evolutionary Computation, Genetic
Programming, Artificial Life, Autonomous Agents, and
{DNA}-Based Computing in \$-Calculus},
url = {http://citeseer.ist.psu.edu/491674.html},
year = 2000
}