New PDF release: Artificial Intelligence and Soft Computing. Behavioral and

By Amit Konar

ISBN-10: 0849313856

ISBN-13: 9780849313851

With all of the fabric on hand within the box of synthetic intelligence (AI) and gentle computing-texts, monographs, and magazine articles-there is still a major hole within the literature. formerly, there was no entire source available to a large viewers but containing a intensity and breadth of data that permits the reader to totally comprehend and easily practice AI and tender computing concepts.Artificial Intelligence and smooth Computing fills this hole. It offers either the conventional and the fashionable features of AI and delicate computing in a transparent, insightful, and hugely accomplished sort. It presents an in-depth research of mathematical versions and algorithms and demonstrates their purposes in actual global difficulties. starting with the behavioral viewpoint of "human cognition," the textual content covers the instruments and strategies required for its clever consciousness on machines. the writer addresses the classical aspects-search, symbolic common sense, making plans, and computing device learning-in element and comprises the most recent examine in those parts. He introduces the trendy facets of soppy computing from first ideas and discusses them in a way that permits a newbie to understand the topic. He additionally covers a couple of different major features of AI learn, together with nonmonotonic and spatio-temporal reasoning, wisdom acquisition, and lots more and plenty extra. synthetic Intelligence and smooth Computing: Behavioral and Cognitive Modeling of the Human mind is exclusive for its various content material, transparent presentation, and total completeness. It presents a pragmatic, targeted creation that may turn out useful to desktop technological know-how practitioners and scholars in addition to to researchers migrating to the topic from different disciplines.

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Additional info for Artificial Intelligence and Soft Computing. Behavioral and Cognitive Modeling of the Human Brain

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An alternative approach to pattern recognition, to be discussed shortly, is the well-known feature-based matching. 3 Feature-based Approach for Pattern Recognition The main consideration of this approach is to extract a set of primitive features, describing the object and to compare it with similar features in the sensory patterns to be identified. For example, suppose we are interested to identify whether character ‘H’ is present in the following list of characters (fig. 2 (b)). A H F K L Fig.

Hot PR2: if (it-rains) then (road-at-Calcutta -becomes-flooded) It-isthe-sky-is-cloudy Search Inference Engine Inferences it-will-rain the-road-at-Calcutta-becomes-flooded Fig. 1. 9: Illustrative architecture of an expert system. Image Understanding and Computer Vision: A digital image can be regarded as a two-dimensional array of pixels containing gray levels corresponding to the intensity of the reflected illumination received by a video camera [6]. 10). The importance of low level vision is to pre-process the image by filtering from noise.

Finding a sub-optimal solution is thus preferred for such scheduling problems. Recently, artificial neural nets and genetic algorithms have been employed to solve this problem. The heuristic search, to be discussed shortly, has also been used for handling this problem [34]. Intelligent Control: In process control, the controller is designed from the known models of the process and the required control objective. When the dynamics of the plant is not completely known, the existing techniques for controller design no longer remain valid.

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Artificial Intelligence and Soft Computing. Behavioral and Cognitive Modeling of the Human Brain by Amit Konar


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