General Problem Solver

General Problem Solver
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
Total Pages: 183
Release: 2023-07-06
Genre: Computers
ISBN:

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. What is Artificial Intelligence Series 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.

Building Problem Solvers

Building Problem Solvers
Author: Kenneth D. Forbus
Publisher: MIT Press
Total Pages: 726
Release: 1993
Genre: Computers
ISBN: 9780262061575

After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.

Human Problem Solving

Human Problem Solving
Author: Allen Newell
Publisher: Echo Point Books & Media
Total Pages: 0
Release: 2019-02-05
Genre:
ISBN: 9781635617924

This monumental work by Herbert A. Simon and Allan Newell, two pioneers of artificial intelligence, develops and defends the authors' theory of human reasoning. It will be of historical interest to students of the physical symbol system hypothesis in psychology, artificial intelligence, or cognitive science.

The Complete Problem Solver

The Complete Problem Solver
Author: John R. Hayes
Publisher: Routledge
Total Pages: 377
Release: 2013-04-03
Genre: Education
ISBN: 1136465138

This unique volume returns in its second edition, revised and updated with the latest advances in problem solving research. It is designed to provide readers with skills that will make them better problem solvers and to give up-to-date information about the psychology of problem solving. Professor Hayes provides students and professionals with practical, tested methods of defining, representing, and solving problems. Each discussion of the important aspects of human problem solving is supported by the most current research on the psychology problem solving. The Complete Problem Solver, Second Edition features: *Valuable learning strategies; *Decision making methods; *Discussions of the nature of creativity and invention, and *A new chapter on writing. The Complete Problem Solver utilizes numerous examples, diagrams, illustrations, and charts to help any reader become better at problem solving. See the order form for the answer to the problem below.

Artificial Intelligence with Python

Artificial Intelligence with Python
Author: Alberto Artasanchez
Publisher: Packt Publishing Ltd
Total Pages: 619
Release: 2020-01-31
Genre: Computers
ISBN: 1839216077

New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.

Encyclopedia of the Sciences of Learning

Encyclopedia of the Sciences of Learning
Author: Norbert M. Seel
Publisher: Springer Science & Business Media
Total Pages: 3643
Release: 2011-10-05
Genre: Education
ISBN: 1441914277

Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.

Stop Guessing

Stop Guessing
Author: Nat Greene
Publisher: Berrett-Koehler Publishers
Total Pages: 160
Release: 2017-04-03
Genre: Business & Economics
ISBN: 1626569878

Illustrated with examples ranging from everyday issues to serious problems, this book will help you understand the behaviors that great problem-solvers use to tackle the hardest problems with skill and panache, regardless of the industry or nature of the problem. --

Psychology Problem Solver

Psychology Problem Solver
Author:
Publisher: Research & Education Assoc.
Total Pages: 1054
Release: 1989-01-01
Genre: Business & Economics
ISBN: 9780738671321

The Problem Solvers are an exceptional series of books that are thorough, unusually well-organized, and structured in such a way that they can be used with any text. No other series of study and solution guides has come close to the Problem Solvers in usefulness, quality, and effectiveness. Educators consider the Problem Solvers the most effective series of study aids on the market. Students regard them as most helpful for their school work and studies. With these books, students do not merely memorize the subject matter, they really get to understand it. Each Problem Solver is over 1,000 pages, yet each saves hours of time in studying and finding solutions to problems. These solutions are worked out in step-by-step detail, thoroughly and clearly. Each book is fully indexed for locating specific problems rapidly. For students taking basic and advanced psychology courses. Each chapter provides comprehensive explanations and solutions to problems, and ends with a series of short questions and answers to help in preparation for exams. Also included is a particularly helpful guide to writing experimental reports.