Problem Solving And Intelligence
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Problem Solving and Intelligence
Originally published in 1985, Problem Solving and Intelligence was the result of the author’s efforts to understand the nature of human intelligence and the differences in the cognitive functioning of individuals which we observe again and again. The book contains two types of material. First it presents an overview of major contributions to the conceptualization and investigation of problem solving and intelligence, which was derived from the extensive, largely non-cumulative literature at the time. Second it reports a comprehensive, empirical study of the manifestation of intelligence in problem solving. The subject matter was at the interface of three traditional areas of psychological inquiry: namely, the study of cognitive processes, individual differences, and the characteristics of the stimulus. What was innovative is that intellectual performance is investigated in relation to the simultaneous operation of variables from these dimensions. The book was intended, primarily, as a contribution to the understanding and investigation of the nature of intelligent behavior, as well as an introduction to intelligence and problem solving. Today it can be read and enjoyed in its historical context.
Artificial Intelligence and Problem Solving
Author: Danny Kopec
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2016-06-29
This book lends insight into solving some well-known AI problems using the most efficient problem-solving methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem. This book assembles in one place a set of interesting and challenging AI–type problems that students regularly encounter in computer science, mathematics, and AI courses. These problems are not new, and students from all backgrounds can benefit from the kind of deductive thinking that goes into solving them. The book is especially useful as a companion to any course in computer science or mathematics where there are interesting problems to solve. Features: •Addresses AI and problem-solving from different perspectives •Covers classic AI problems such as Sudoku, Map Coloring, Twelve Coins, Red Donkey, Cryptarithms, Monte Carlo Methods, Rubik’s Cube, Missionaries/Cannibals, Knight’s Tour, Monty Hall, and more •Includes a companion disc with source code, solutions, figures, and more •Offers playability sites where students can exercise the process of developing their solutions •Describes problem-solving methods that might be applied to a variety of situations eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected].
Artificial Intelligence for Advanced Problem Solving Techniques
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.