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Cognitive Based Distributed Sensing, Processing, and Communication

Cognitive Based Distributed Sensing, Processing, and Communication

Roman Ilin, Leonid Perlovsky
Copyright: © 2011 |Pages: 31
ISBN13: 9781609605513|ISBN10: 1609605519|EISBN13: 9781609605520
DOI: 10.4018/978-1-60960-551-3.ch006
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MLA

Ilin, Roman, and Leonid Perlovsky. "Cognitive Based Distributed Sensing, Processing, and Communication." Computational Modeling and Simulation of Intellect: Current State and Future Perspectives, edited by Boris Igelnik, IGI Global, 2011, pp. 131-161. https://doi.org/10.4018/978-1-60960-551-3.ch006

APA

Ilin, R. & Perlovsky, L. (2011). Cognitive Based Distributed Sensing, Processing, and Communication. In B. Igelnik (Ed.), Computational Modeling and Simulation of Intellect: Current State and Future Perspectives (pp. 131-161). IGI Global. https://doi.org/10.4018/978-1-60960-551-3.ch006

Chicago

Ilin, Roman, and Leonid Perlovsky. "Cognitive Based Distributed Sensing, Processing, and Communication." In Computational Modeling and Simulation of Intellect: Current State and Future Perspectives, edited by Boris Igelnik, 131-161. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-551-3.ch006

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Abstract

Perception, cognition, and higher cognitive abilities of the mind are considered here within a neural modeling fields (NMF) paradigm. Its fundamental mathematical mechanism is a process “from vague-fuzzy to crisp,” called dynamic logic. The chapter discusses why this paradigm is necessary mathematically, and relates it to a psychological description of the mind. Surprisingly, the process from “vague to crisp” corresponds to Aristotelian understanding of mental functioning. Recent fMRI measurements confirmed this process in neural mechanisms of perception. After an overview of NMF, the chapter describes solutions to two important problems: target tracking and situation recognition. Both problems can be solved within the NMF framework using the same basic algorithm. The chapter then discusses the challenges of using NMF and outlines the directions of future research.

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