Overview
- Provides novel and deep insights into intelligent systems
- Contains supplementary material which demonstrates examples and processes
- Offers the opportunity to learn techniques and methodologies
- Brings readers quantitative and high resolution understanding of noological processes
Part of the book series: Socio-Affective Computing (SAC, volume 3)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
The methodology adopted in Principles of Noology for the characterization of intelligent systems, or “noological systems,” is a computational one, much like that of AI. Many AI devices such as predicate logic representations, search mechanisms, heuristics, and computational learning mechanisms are employed but they are recast in a totally new framework for the characterization of noological systems. The computational approach in this book provides a quantitative and high resolution understanding of noological processes, and at the same time the principles and methodologies formulated are directly implementable in AI systems.
In contrast to traditional AI that ignores motivational and affective processes, under the paradigm of noology,motivational and affective processes are central to the functioning of noological systems and their roles in noological processes are elucidated in detailed computational terms. In addition, a number of novel representational and learning mechanisms are proposed, and ample examples and computer simulations are provided to show their applications. These include rapid effective causal learning (a novel learning mechanism that allows an AI/noological system to learn causality with a small number of training instances), learning of scripts that enables knowledge chunking and rapid problem solving, and learning of heuristics that further accelerates problem solving. Semantic grounding allows an AI/noological system to “truly understand” the meaning of the knowledge it encodes. This issue is extensively explored.
This is a highly informative book providing novel and deep insights into intelligent systems which is particularly relevant to both researchers and students of AI and the cognitive sciences.
Authors and Affiliations
Bibliographic Information
Book Title: Principles of Noology
Book Subtitle: Toward a Theory and Science of Intelligence
Authors: Seng-Beng Ho
Series Title: Socio-Affective Computing
DOI: https://doi.org/10.1007/978-3-319-32113-4
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016
Hardcover ISBN: 978-3-319-32111-0Published: 08 July 2016
Softcover ISBN: 978-3-319-81200-7Published: 31 May 2018
eBook ISBN: 978-3-319-32113-4Published: 29 June 2016
Series ISSN: 2509-5706
Series E-ISSN: 2509-5714
Edition Number: 1
Number of Pages: XIX, 431
Number of Illustrations: 21 b/w illustrations, 220 illustrations in colour
Topics: Neurosciences, Artificial Intelligence, Computational Intelligence, Science, Humanities and Social Sciences, multidisciplinary