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Principles of NoologyIntroduction

Principles of Noology: Introduction [This introductory chapter provides an overview of the principled and fundamental theoretical framework developed in this book to characterize intelligent systems, or “noological systems.” Firstly, a set of fundamental principles is stated that lies at the core of noological systems. Then, a simple but illustrative “micro-world” is used to address all critical processes of a noological system – from perception to detailed action execution, including motivational and affective processes. A critical concept, the bio-noo boundary, is introduced, which constitutes the internal ground level of a noological system that defines its ultimate motivations. Lastly, the basic idea of semantic grounding is discussed. This constitutes the breaking of “symbolic circularity” that enables a noological system to “truly understand” the knowledge that it represents internally for intelligent functions. The discussions culminate in the design of a fundamental architecture for noological systems.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Principles of NoologyIntroduction

Part of the Socio-Affective Computing Book Series (volume 3)
Ho, Seng-Beng
Principles of Noology — Jun 29, 2016
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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2016
ISBN
978-3-319-32111-0
Pages
1 –39
DOI
10.1007/978-3-319-32113-4_1
Publisher site
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Abstract

[This introductory chapter provides an overview of the principled and fundamental theoretical framework developed in this book to characterize intelligent systems, or “noological systems.” Firstly, a set of fundamental principles is stated that lies at the core of noological systems. Then, a simple but illustrative “micro-world” is used to address all critical processes of a noological system – from perception to detailed action execution, including motivational and affective processes. A critical concept, the bio-noo boundary, is introduced, which constitutes the internal ground level of a noological system that defines its ultimate motivations. Lastly, the basic idea of semantic grounding is discussed. This constitutes the breaking of “symbolic circularity” that enables a noological system to “truly understand” the knowledge that it represents internally for intelligent functions. The discussions culminate in the design of a fundamental architecture for noological systems.]

Published: Jun 29, 2016

Keywords: Noological systems; Intelligent systems; Principles of noology; Principles of intelligent systems; Architecture of noological systems; Architecture of intelligent systems; Bio-noo boundary; Internal grounding; Semantic grounding; Motivation; Affordance; Affective computing; Affective learning

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