Title :
Expressing evolutionary computation, genetic programming, artificial life, autonomous agents and DNA-based computing in -calculus-revised version
Author :
Eberbach, Eugene
Author_Institution :
Sch. of Comput. Sci., Acadia Univ., Wolfville, NS, Canada
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 a built-in cost-optimization mechanism allowing to deal with nondeterminism, incomplete and uncertain information. We express in -calculus several subareas of evolutionary computation, including genetic programming, artificial life, autonomous agents and DNA-based computing
Keywords :
artificial life; biocomputing; evolutionary computation; process algebra; software agents; uncertainty handling; -calculus; DNA-based computing; artificial life; autonomous agents; cost-optimization; distributed complex processes; distributed interactive systems; evolutionary computation; expert systems; genetic programming; machine learning; neural nets; polyadic process algebra; resource bounded computation; uncertain information; Algebra; Artificial intelligence; Artificial neural networks; Autonomous agents; Distributed computing; Evolutionary computation; Expert systems; Genetic programming; Interactive systems; Machine learning;
Conference_Titel :
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-6375-2
DOI :
10.1109/CEC.2000.870810