The belief of this book is to establish a brand new clinical self-discipline, “noology,” lower than which a suite of basic rules are proposed for the characterization of either certainly taking place and synthetic clever platforms.
The method followed in Principles of Noology for the characterization of clever structures, or “noological systems,” is a computational one, very like that of AI. Many AI units similar to predicate common sense 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 method during this ebook presents a quantitative and excessive answer knowing of noological approaches, and whilst the rules and methodologies formulated are at once implementable in AI systems.
In distinction to standard AI that ignores motivational and affective techniques, less than the paradigm of noology, motivational and affective tactics are relevant to the functioning of noological structures and their roles in noological approaches are elucidated in specific computational phrases. moreover, a few novel representational and studying mechanisms are proposed, and abundant examples and desktop simulations are supplied to teach their functions. those contain speedy potent causal studying (a novel studying mechanism that enables an AI/noological procedure to benefit causality with a small variety of education instances), studying of scripts that allows wisdom chunking and fast challenge fixing, and studying of heuristics that extra hurries up challenge fixing. Semantic grounding permits an AI/noological process to “truly comprehend” the that means of the data it encodes. This factor is commonly explored.
This is a hugely informative publication offering novel and deep insights into clever structures that's really correct to either researchers and scholars of AI and the cognitive sciences.