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Theoretical Foundations of Autonomic Computing

Theoretical Foundations of Autonomic Computing

Yingxu Wang
Copyright: © 2009 |Pages: 16
ISBN13: 9781605661704|ISBN10: 1605661708|ISBN13 Softcover: 9781616925642|EISBN13: 9781605661711
DOI: 10.4018/978-1-60566-170-4.ch012
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MLA

Wang, Yingxu. "Theoretical Foundations of Autonomic Computing." Novel Approaches in Cognitive Informatics and Natural Intelligence, edited by Yingxu Wang, IGI Global, 2009, pp. 172-187. https://doi.org/10.4018/978-1-60566-170-4.ch012

APA

Wang, Y. (2009). Theoretical Foundations of Autonomic Computing. In Y. Wang (Ed.), Novel Approaches in Cognitive Informatics and Natural Intelligence (pp. 172-187). IGI Global. https://doi.org/10.4018/978-1-60566-170-4.ch012

Chicago

Wang, Yingxu. "Theoretical Foundations of Autonomic Computing." In Novel Approaches in Cognitive Informatics and Natural Intelligence, edited by Yingxu Wang, 172-187. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-170-4.ch012

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Abstract

Autonomic computing (AC) is an intelligent computing approach that autonomously carries out robotic and interactive applications based on goal- and inference-driven mechanisms. This chapter attempts to explore the theoretical foundations and technical paradigms of AC. It reviews the historical development that leads to the transition from imperative computing to AC. It surveys transdisciplinary theoretical foundations for AC such as those of behaviorism, cognitive informatics, denotational mathematics, and intelligent science. On the basis of this work, a coherent framework towards AC may be established for both interdisciplinary theories and application paradigms, which will result in the development of new generation computing architectures and novel information processing systems.

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