Learning Search Control Knowledge

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Learning Search Control Knowledge

Author : Steven Minton
Publisher : Springer Science & Business Media
ISBN 13 : 1461317037
Total Pages : 217 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Learning Search Control Knowledge by : Steven Minton

Download or read book Learning Search Control Knowledge written by Steven Minton and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book investigates how computers may be programmed so that they too can learn from experience. Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain. on a knowledge-intensive Recently there has been considerable progress made learning approach, explanation-based learning (EBL), that brings us closer to this possibility. As demonstrated in this book, EBL can be used to analyze a problem solving episode in order to acquire control knowledge. Control knowledge guides the problem solver's search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate.

Learning Search Control Knowledge for Equational Deduction

Author : S. A. Schulz
Publisher : IOS Press
ISBN 13 : 9781586031503
Total Pages : 204 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Learning Search Control Knowledge for Equational Deduction by : S. A. Schulz

Download or read book Learning Search Control Knowledge for Equational Deduction written by S. A. Schulz and published by IOS Press. This book was released on 2000 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents an approach to learning good search guiding heuristics for the supposition-based theorom prover E in equational deductions. Search decisions from successful proof searches are represented as sets annotated clause patterns. Term Space Mapping, an alternative learning method for recursive structures is used to learn heuristic evaluation functions for the evaluation of potential new consequences. Experimental results with extended system E/TSM show the success of the approach. Additional contributions of the thesis are an extended superposition calculus and a description of both the proof procedure and the implementation of a state-of-the-art equational theorem prover.

Machine Learning Proceedings 1990

Author : Bruce Porter
Publisher : Morgan Kaufmann
ISBN 13 : 1483298582
Total Pages : 436 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Proceedings 1990 by : Bruce Porter

Download or read book Machine Learning Proceedings 1990 written by Bruce Porter and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1990

Readings in Machine Learning

Author : Jude W. Shavlik
Publisher : Morgan Kaufmann
ISBN 13 : 9781558601437
Total Pages : 868 pages
Book Rating : 4.6/5 (14 download)

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Book Synopsis Readings in Machine Learning by : Jude W. Shavlik

Download or read book Readings in Machine Learning written by Jude W. Shavlik and published by Morgan Kaufmann. This book was released on 1990 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.

Proceedings of the Fourth International Workshop on MACHINE LEARNING

Author : Pat Langley
Publisher : Morgan Kaufmann
ISBN 13 : 1483282856
Total Pages : 410 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Proceedings of the Fourth International Workshop on MACHINE LEARNING by : Pat Langley

Download or read book Proceedings of the Fourth International Workshop on MACHINE LEARNING written by Pat Langley and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the Fourth International Workshop on Machine Learning provides careful theoretical analyses that make clear contact with traditional problems in machine learning. This book discusses the key role of learning in cognition. Organized into 39 chapters, this book begins with an overview of pattern recognition systems of necessity that incorporate an approximate-matching process to determine the degree of similarity between an unknown input and all stored references. This text then describes the rationale in the Protos system for relegating inductive learning and deductive problem solving to minor roles in support of retaining, indexing and matching exemplars. Other chapters consider the power as well as the appropriateness of exemplar-based representations and their associated acquisition methods. This book discusses as well the extensions to the way a case is classified by a decision tree that address shortcomings. The final chapter deals with the advances in machine learning research. This book is a valuable resource for psychologists, scientists, theorists, and research workers.

Machine Learning Methods for Planning

Author : Steven Minton
Publisher : Morgan Kaufmann
ISBN 13 : 1483221172
Total Pages : 555 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Methods for Planning by : Steven Minton

Download or read book Machine Learning Methods for Planning written by Steven Minton and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learning methods and learning architectures, including analogical, case-based, decision-tree, explanation-based, and reinforcement learning. Organized into 15 chapters, this book begins with an overview of planning and scheduling and describes some representative learning systems that have been developed for these tasks. This text then describes a learning apprentice for calendar management. Other chapters consider the problem of temporal credit assignment and describe tractable classes of problems for which optimal plans can be derived. This book discusses as well how reactive, integrated systems give rise to new requirements and opportunities for machine learning. The final chapter deals with a method for learning problem decompositions, which is based on an idealized model of efficiency for problem-reduction search. This book is a valuable resource for production managers, planners, scientists, and research workers.

Constraint-based Reasoning

Author : Eugene C. Freuder
Publisher : MIT Press
ISBN 13 : 9780262560757
Total Pages : 420 pages
Book Rating : 4.5/5 (67 download)

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Book Synopsis Constraint-based Reasoning by : Eugene C. Freuder

Download or read book Constraint-based Reasoning written by Eugene C. Freuder and published by MIT Press. This book was released on 1994 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, qualitative and diagnostic reasoning, and expert systems. Constraint-Based Reasoning presents current work in the field at several levels: theory, algorithms, languages, applications, and hardware. Constraint-based reasoning has connections to a wide variety of fields, including formal logic, graph theory, relational databases, combinatorial algorithms, operations research, neural networks, truth maintenance, and logic programming. The ideal of describing a problem domain in natural, declarative terms and then letting general deductive mechanisms synthesize individual solutions has to some extent been realized, and even embodied, in programming languages. Contents Introduction, E. C. Freuder, A. K. Mackworth * The Logic of Constraint Satisfaction, A. K. Mackworth * Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace * Constraint Reasoning Based on Interval Arithmetic: The Tolerance Propagation Approach, E. Hyvonen * Constraint Satisfaction Using Constraint Logic Programming, P. Van Hentenryck, H. Simonis, M. Dincbas * Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems, S. Minton, M. D. Johnston, A. B. Philips, and P. Laird * Arc Consistency: Parallelism and Domain Dependence, P. R. Cooper, M. J. Swain * Structure Identification in Relational Data, R. Dechter, J. Pearl * Learning to Improve Constraint-Based Scheduling, M. Zweben, E. Davis, B. Daun, E. Drascher, M. Deale, M. Eskey * Reasoning about Qualitative Temporal Information, P. van Beek * A Geometric Constraint Engine, G. A. Kramer * A Theory of Conflict Resolution in Planning, Q. Yang A Bradford Book.

Elements of Machine Learning

Author : Pat Langley
Publisher : Morgan Kaufmann
ISBN 13 : 9781558603011
Total Pages : 436 pages
Book Rating : 4.6/5 (3 download)

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Book Synopsis Elements of Machine Learning by : Pat Langley

Download or read book Elements of Machine Learning written by Pat Langley and published by Morgan Kaufmann. This book was released on 1996 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is the computational study of algorithms that improve performance based on experience, and this book covers the basic issues of artificial intelligence. Individual sections introduce the basic concepts and problems in machine learning, describe algorithms, discuss adaptions of the learning methods to more complex problem-solving tasks and much more.

Encyclopedia of Artificial Intelligence

Author : Juan Ramon Rabunal
Publisher : IGI Global
ISBN 13 : 1599048507
Total Pages : 1640 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Encyclopedia of Artificial Intelligence by : Juan Ramon Rabunal

Download or read book Encyclopedia of Artificial Intelligence written by Juan Ramon Rabunal and published by IGI Global. This book was released on 2009-01-01 with total page 1640 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

Ai '93 - Proceedings Of The 6th Australian Joint Conference On Artificial Intelligence

Author : C Rowles
Publisher : World Scientific
ISBN 13 : 9814552534
Total Pages : 480 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Ai '93 - Proceedings Of The 6th Australian Joint Conference On Artificial Intelligence by : C Rowles

Download or read book Ai '93 - Proceedings Of The 6th Australian Joint Conference On Artificial Intelligence written by C Rowles and published by World Scientific. This book was released on 1993-09-23 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume reflects the state of the art in artificial intelligence in the Australasian region. It covers machine learning, knowledge acguisition, cognitive modelling, robots and vision, natural language, automated reasoning, knowledge-based systems, neural networks and genetic algorithms, distributed AI, etc.

Mind Bugs

Author : Kurt VanLehn
Publisher : MIT Press
ISBN 13 : 9780262220361
Total Pages : 286 pages
Book Rating : 4.2/5 (23 download)

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Book Synopsis Mind Bugs by : Kurt VanLehn

Download or read book Mind Bugs written by Kurt VanLehn and published by MIT Press. This book was released on 1990 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: As children acquire arithmetic skills, they often develop 'bugs'--small, local misconceptions that cause systematic errors. Mind Bugs combines a novel cognitive simulation process with careful hypothesis testing to explore how mathematics students acquire procedural skills in instructional settings, focusing in particular on these procedural misconceptions and what they reveal about the learning process.

Machine Learning Proceedings 1993

Author : Lawrence A. Birnbaum
Publisher : Morgan Kaufmann
ISBN 13 : 1483298620
Total Pages : 361 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Proceedings 1993 by : Lawrence A. Birnbaum

Download or read book Machine Learning Proceedings 1993 written by Lawrence A. Birnbaum and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1993

Goal-driven Learning

Author : Ashwin Ram
Publisher : MIT Press
ISBN 13 : 9780262181655
Total Pages : 548 pages
Book Rating : 4.1/5 (816 download)

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Book Synopsis Goal-driven Learning by : Ashwin Ram

Download or read book Goal-driven Learning written by Ashwin Ram and published by MIT Press. This book was released on 1995 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations. The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts. The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning. A Bradford Book

New Directions in AI Planning

Author : Malik Ghallab
Publisher :
ISBN 13 : 9784274900648
Total Pages : 422 pages
Book Rating : 4.9/5 (6 download)

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Book Synopsis New Directions in AI Planning by : Malik Ghallab

Download or read book New Directions in AI Planning written by Malik Ghallab and published by . This book was released on 1996 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Unified Theories of Cognition

Author : Allen Newell
Publisher : Harvard University Press
ISBN 13 : 9780674921016
Total Pages : 580 pages
Book Rating : 4.9/5 (21 download)

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Book Synopsis Unified Theories of Cognition by : Allen Newell

Download or read book Unified Theories of Cognition written by Allen Newell and published by Harvard University Press. This book was released on 1994 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Newell introduces Soar, an architecture for general cognition. A pioneer system in AI, Soar is the first problem-solver to create its own subgoals and learn continuously from its own experience. Its ability to operate within the real-time constraints of intelligent behavior illustrates important characteristics of human cognition.

ARPA/Rome Laboratory Knowledge-based Planning and Scheduling Initiative Workshop Proceedings, Tuscon, Arizona, February 21-24, 1994

Author :
Publisher : Morgan Kaufmann
ISBN 13 : 9781558603455
Total Pages : 558 pages
Book Rating : 4.6/5 (34 download)

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Book Synopsis ARPA/Rome Laboratory Knowledge-based Planning and Scheduling Initiative Workshop Proceedings, Tuscon, Arizona, February 21-24, 1994 by :

Download or read book ARPA/Rome Laboratory Knowledge-based Planning and Scheduling Initiative Workshop Proceedings, Tuscon, Arizona, February 21-24, 1994 written by and published by Morgan Kaufmann. This book was released on 1994 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mind Matters

Author : David M. Steier
Publisher : Psychology Press
ISBN 13 : 1317781244
Total Pages : 492 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Mind Matters by : David M. Steier

Download or read book Mind Matters written by David M. Steier and published by Psychology Press. This book was released on 2014-03-05 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a symposium honoring the extensive work of Allen Newell -- one of the founders of artificial intelligence, cognitive science, human-computer interaction, and the systematic study of computational architectures -- this volume demonstrates how unifying themes may be found in the diversity that characterizes current research on computers and cognition. The subject matter includes: * an overview of cognitive and computer science by leading researchers in the field; * a comprehensive description of Allen Newell's "Soar" -- a computational architecture he developed as a unified theory of cognition; * commentary on how the Soar theory of cognition relates to important issues in cognitive and computer science; * rigorous treatments of controversial issues in cognition -- methodology of cognitive science, hybrid approaches to machine learning, word-sense disambiguation in understanding material language, and the role of capability processing constraints in architectural theory; * comprehensive and systematic methods for studying architectural evolution in both hardware and software; * a thorough discussion of the use of analytic models in human computer interaction; * extensive reviews of important experiments in the study of scientific discovery and deduction; and * an updated analysis of the role of symbols in information processing by Herbert Simon. Incorporating the research of top scientists inspired by Newell's work, this volume will be of strong interest to a large variety of scientific communities including psychologists, computational linguists, computer scientists and engineers, and interface designers. It will also be valuable to those who study the scientific process itself, as it chronicles the impact of Newell's approach to research, simultaneously delving into each scientific discipline and producing results that transcend the boundaries of those disciplines.