Cognitive Course Modular Psychology Reasoning Thinking


Probabilistic Reasoning in Intelligent Systems

Probabilistic Reasoning in Intelligent Systems
Probabilistic Reasoning in Intelligent Systems is a complete cognitive course modular psychology reasoning thinking and accessible account of the theoretical foundations cognitive course modular psychology reasoning thinking and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief cognitive course modular psychology reasoning thinking and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, cognitive course modular psychology reasoning thinking and nonmonotonic logic. The author distinguishes syntactic cognitive course modular psychology reasoning thinking and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, cognitive course modular psychology reasoning thinking and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues cognitive course modular psychology reasoning thinking and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars cognitive course modular psychology reasoning thinking and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, cognitive course modular psychology reasoning thinking and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, cognitive course modular psychology reasoning thinking and statistics will find theoretical cognitive course modular psychology reasoning thinking and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability. Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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Cognitive psychology - Cognitive psychology is the psychological science that studies cognition, the mental processes that underlie behavior, including thinking, deciding, reasoning, and to some extent motivation and emotion. This covers a broad range of research domains, examining questions about the workings of memory, attention, perception, knowledge representation, reasoning, creativity and problem solving.

Cognitive revolution - The "cognitive revolution" is a name for an intellectual movement in the 1950s that combined new thinking in psychology, anthropology and linguistics with the nascent fields of artificial intelligence, computer science and neuroscience.

Conservation (psychology) - An ability in logical thinking according to the psychologist Jean Piaget who developed four stages in cognitive development. By the third stage, the Concrete operational stage, the child of age 7-11 has mastered this ability, to logically determine that a certain quantity will remain the same despite adjustment of the container, shape, or apparent size.

Framing (psychology) - Frames, according to many psychologists, linguists and cognitive scientists, are mental structures that are used to facilitate the thinking process. We use frames to provide categories and a structure to our thoughts.

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