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On Abstract Intelligence: Toward a Unifying Theory of Natural, Artificial, Machinable, and Computational Intelligence

On Abstract Intelligence: Toward a Unifying Theory of Natural, Artificial, Machinable, and Computational Intelligence

Yingxu Wang
Copyright: © 2012 |Pages: 18
ISBN13: 9781466602618|ISBN10: 1466602619|EISBN13: 9781466602625
DOI: 10.4018/978-1-4666-0261-8.ch002
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MLA

Wang, Yingxu. "On Abstract Intelligence: Toward a Unifying Theory of Natural, Artificial, Machinable, and Computational Intelligence." Software and Intelligent Sciences: New Transdisciplinary Findings, edited by Yingxu Wang, IGI Global, 2012, pp. 14-31. https://doi.org/10.4018/978-1-4666-0261-8.ch002

APA

Wang, Y. (2012). On Abstract Intelligence: Toward a Unifying Theory of Natural, Artificial, Machinable, and Computational Intelligence. In Y. Wang (Ed.), Software and Intelligent Sciences: New Transdisciplinary Findings (pp. 14-31). IGI Global. https://doi.org/10.4018/978-1-4666-0261-8.ch002

Chicago

Wang, Yingxu. "On Abstract Intelligence: Toward a Unifying Theory of Natural, Artificial, Machinable, and Computational Intelligence." In Software and Intelligent Sciences: New Transdisciplinary Findings, edited by Yingxu Wang, 14-31. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0261-8.ch002

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Abstract

Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom up. This paper describes the taxonomy and nature of intelligence. It analyzes roles of information in the evolution of human intelligence, and the needs for logical abstraction in modeling the brain and natural intelligence. A formal model of intelligence is developed known as the Generic Abstract Intelligence Mode (GAIM), which provides a foundation to explain the mechanisms of advanced natural intelligence such as thinking, learning, and inferences. A measurement framework of intelligent capability of humans and systems is comparatively studied in the forms of intelligent quotient, intelligent equivalence, and intelligent metrics. On the basis of the GAIM model and the abstract intelligence theories, the compatibility of natural and machine intelligence is revealed in order to investigate into a wide range of paradigms of abstract intelligence such as natural, artificial, machinable intelligence, and their engineering applications.

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