Adaptation, anticipation and rationality in natural and artificial systems: computational paradigms mimicking nature

Intelligence, Rationality, Learning, Anticipation and Adaptation are terms that have been and still remain in the central stage of computer science. These terms delimit their specific areas of study; nevertheless, they are so interrelated that studying them separately is an endeavor that seems littl...

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Published inNatural computing Vol. 8; no. 4; pp. 757 - 775
Main Authors Martín H., José Antonio, de Lope, Javier, Maravall, Darío
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.12.2009
Springer Nature B.V
Subjects
Artificial Intelligence
Complex Systems
Computer Science
Evolutionary Biology
Information systems
Nature
Processor Architectures
Theory of Computation
Anticipation
Rationality
Nature-inspired paradigms
Adaptation
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Summary:Intelligence, Rationality, Learning, Anticipation and Adaptation are terms that have been and still remain in the central stage of computer science. These terms delimit their specific areas of study; nevertheless, they are so interrelated that studying them separately is an endeavor that seems little promising. In this paper, a model of study about the phenomena of Adaptation, Anticipation and Rationality as nature-inspired computational paradigms mimicking nature is proposed by means of a division, which is oriented, towards the discrimination of these terms, from the point of view of the complexity exhibited in the behavior of the systems, where these phenomena come at play. For this purpose a series of fundamental principles and hypothesis are proposed as well as some experimental results that corroborate them.
Bibliography:ObjectType-Article-2
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ISSN:1567-7818
1572-9796
DOI:10.1007/s11047-008-9096-6