Seng-Beng Ho's Principles of Noology: Toward a Theory and Science of PDF

the belief of this book is to establish a brand new clinical self-discipline, “noology,” lower than which a suite of basic ideas are proposed for the characterization of either clearly taking place and synthetic clever structures.

The method followed in Principles of Noology for the characterization of clever platforms, or “noological systems,” is a computational one, very similar to that of AI. Many AI units equivalent to predicate good judgment representations, seek mechanisms, heuristics, and computational studying mechanisms are hired yet they're recast in a unconditionally new framework for the characterization of noological structures. The computational technique during this publication presents a quantitative and excessive answer figuring out of noological approaches, and even as the foundations and methodologies formulated are without delay implementable in AI systems.

In distinction to standard AI that ignores motivational and affective methods, below the paradigm of noology, motivational and affective procedures are vital to the functioning of noological structures and their roles in noological strategies are elucidated in precise computational phrases. additionally, a few novel representational and studying mechanisms are proposed, and abundant examples and machine simulations are supplied to teach their purposes. those comprise quick powerful causal studying (a novel studying mechanism that enables an AI/noological approach to profit causality with a small variety of education instances), studying of scripts that allows wisdom chunking and swift challenge fixing, and studying of heuristics that additional hurries up challenge fixing. Semantic grounding permits an AI/noological process to “truly comprehend” the that means of the information it encodes. This factor is greatly explored.

This is a hugely informative ebook supplying novel and deep insights into clever platforms that is quite proper to either researchers and scholars of AI and the cognitive sciences.