Download E-books Principles of Noology: Toward a Theory and Science of Intelligence (Socio-Affective Computing) PDF

The assumption of this book is to establish a brand new clinical self-discipline, “noology,” below which a suite of basic ideas are proposed for the characterization of either certainly taking place and synthetic clever platforms.

The technique 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 similar to predicate common sense representations, seek mechanisms, heuristics, and computational studying mechanisms are hired yet they're recast in a wholly new framework for the characterization of noological platforms. The computational procedure during this ebook presents a quantitative and excessive solution figuring out of noological methods, and whilst the foundations and methodologies formulated are at once implementable in AI systems.

In distinction to standard AI that ignores motivational and affective procedures, lower than the paradigm of noology, motivational and affective techniques are relevant to the functioning of noological structures and their roles in noological techniques are elucidated in specified computational phrases. furthermore, a couple of novel representational and studying mechanisms are proposed, and considerable examples and machine simulations are supplied to teach their purposes. those comprise swift potent causal studying (a novel studying mechanism that permits an AI/noological method to benefit causality with a small variety of education instances), studying of scripts that permits 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 widely explored.

This is a hugely informative e-book offering novel and deep insights into clever platforms that is rather suitable to either researchers and scholars of AI and the cognitive sciences.

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