By Seng-Beng Ho
The concept of this bookis toestablish a brand new clinical self-discipline, “noology,” below which a suite of basic ideas are proposed for the characterization of either obviously taking place and synthetic clever platforms.
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 resembling 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 platforms. The computational method during this publication offers a quantitative and excessive answer figuring out of noological tactics, and even as the foundations and methodologies formulated are at once implementable in AI systems.
In distinction to conventional AI that ignores motivational and affective approaches, less than the paradigm of noology, motivational and affective techniques are relevant to the functioning of noological structures and their roles in noological tactics are elucidated in precise computational phrases. additionally, a few novel representational and studying mechanisms are proposed, and considerable examples and laptop simulations are supplied to teach their functions. those contain swift potent causal studying (a novel studying mechanism that permits an AI/noological process to profit causality with a small variety of education instances), studying of scripts that permits wisdom chunking and fast challenge fixing, and studying of heuristics that extra hurries up challenge fixing. Semantic grounding permits an AI/noological procedure to “truly comprehend” the which means of the information it encodes. This factor is commonly explored.
This is a hugely informative e-book offering novel and deep insights into clever platforms that is really suitable to either researchers and scholars of AI and the cognitive sciences.
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Additional resources for Principles of Noology: Toward a Theory and Science of Intelligence
The prioritization and adaption of these needs can be addressed separately. 1 (Rolls 2008). In contrast with Maslow’s hierarchy which consists of desired goals to achieve, Roll’s reinforcers consist of rewards and punishers. In the table, the items listed correspond mainly to the lower levels of Maslow’s hierarchy and more categories of basic needs are listed. Sometimes these built-in goals could be overridden by the agent involved in extreme circumstances. For example, a hunger strike or a suicide could lead to the overriding of the death avoidance goal.
15 that further elaborates on how this representation works). The “Up-Down Flip” symbol specifies that the pictorial representation can be flipped in the upward-downward direction, hence representing the upward and downward movements accordingly. The representation in Fig. 12b represents the general and grounded concept of Move. Why do we claim that this is a ground level representation that truly captures the meaning of the concept Move? The reason is simple: Since Move is a spatiotemporal concept connoting a change in location of an object over time, just represent it accordingly.
To achieve that, the recognition system attempts to fit a model of a human body onto the object involved, and if it can support the human body in a sitting position (say, like that shown in Fig. 13h), it is then recognized as an instance of chair. There are a few other criteria for a chair to be a good chair, such as 30 1 Introduction Fig. 13 (a–e) Various kinds of chairs. (f) A Balans® chair. (g) How a person sits in a Balans® chair. (h) How a person sits in a normal chair (From Ho 1987) it allows not only just one position of human body support, but it also allows the human body to move around a bit and still be supported, etc.
Principles of Noology: Toward a Theory and Science of Intelligence by Seng-Beng Ho