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Principles of NoologySummary and Beyond

Principles of Noology: Summary and Beyond [In this chapter, other than summarizing the achievement of this book, a number of important issues are discussed. These include the issue of scaling – how can the principles and methodologies developed in this book be scaled up to handle the real-world environment, both internal and external to the agent involved? Another critically important issue is the representation and learning of mental procedures. This will imbue the agent with vastly improved adaptive abilities. Other issues such as the constraints imposed by personality, culture and social situations on behavior are briefly discussed. Lastly, comparisons are made between the paradigm developed in this book and the various methodologies of traditional AI.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Principles of NoologySummary and Beyond

Part of the Socio-Affective Computing Book Series (volume 3)
Ho, Seng-Beng
Principles of Noology — Jun 29, 2016
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27 pages

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2016
ISBN
978-3-319-32111-0
Pages
391 –418
DOI
10.1007/978-3-319-32113-4_10
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, other than summarizing the achievement of this book, a number of important issues are discussed. These include the issue of scaling – how can the principles and methodologies developed in this book be scaled up to handle the real-world environment, both internal and external to the agent involved? Another critically important issue is the representation and learning of mental procedures. This will imbue the agent with vastly improved adaptive abilities. Other issues such as the constraints imposed by personality, culture and social situations on behavior are briefly discussed. Lastly, comparisons are made between the paradigm developed in this book and the various methodologies of traditional AI.]

Published: Jun 29, 2016

Keywords: Scaling; Learnable mental process; Personality; Culture; Social situation; Connectionism; Symbolic processing; Causal learning; Reinforcement learning; Deep thinking; Quick learning; Evolution

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