What Is General Problem Solver
GPS, which stands for “General Problem Solver,” is a computer program that was developed in 1957 by Herbert A. Simon, J. C. Shaw, and Allen Newell with the intention of functioning as a universal problem solver machine. Analyzing the relationship between means and ends is central to the operation of the GPS, in contrast to the Logic Theorist endeavor.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: General Problem Solver
Chapter 2: First-order logic
Chapter 3: A* search algorithm
Chapter 4: Soar (cognitive architecture)
Chapter 5: Heuristic
Chapter 6: Combinatorial explosion
Chapter 7: Logic Theorist
Chapter 8: Iterative deepening A*
Chapter 9: Means-ends analysis
Chapter 10: State space search
(II) Answering the public top questions about general problem solver.
(III) Real world examples for the usage of general problem solver in many fields.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of general problem solver.
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The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.