Download or read book Learning to Solve Problems by Searching for Macro operators written by Richard E. Korf and published by . This book was released on 1983 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis explores the idea of learning efficient strategies for solving problems by searching for macro-operators. A macro-operator, or macro for short, is simply a sequence of operators chosen from the primitive operators of a problem. The technique is particularly useful for problems with non-serializable subgoals, such as Rubik's Cube, for which other weak methods fail. Both a problem-solving program and a learning program are described in detail. The performance of these programs is analyzed in terms of the number of macros required to solve all problem instances, the length of the resulting solutions (expressed as the number of primitive moves), and the amount of time necessary to learn the macros. In addition, a theory of why the method works, and a characterization of the range of the problems for which its is useful are presented. The theory introduces a new type of problem structure called operator decomposability. Finally, it is concluded that the macro technique is a valuable addition to the class of weak methods, that macro-operators constitute an interesting and important representation of knowledge, and that searching for macros may be a useful general learning paradigm. (kr).
Download or read book Learning to Solve Problems by Searching for Macro operators written by Richard E. Korf and published by Financial Times/Prentice Hall. This book was released on 1985 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph explores the idea of learning efficient strategies for solving problems by searching for macro-operators.
Download or read book A General Explanation Based Learning Mechanism and Its Application to Narrative Understanding written by Raymond J. Mooney and published by Morgan Kaufmann. This book was released on 1990 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: By Raymond J. Mooney.
Download or read book The Role of Macro Operators in Expert Problem Solving Skill written by Freddy Soewito and published by . This book was released on 1990 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning written by Tom M. Mitchell and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed.
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.
Download or read book Changes of Problem Representation written by Eugene Fink and published by Physica. This book was released on 2013-03-20 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of our research is to enhance the efficiency of AI problem solvers by automating representation changes. We have developed a system that improves the description of input problems and selects an appropriate search algorithm for each given problem. Motivation. Researchers have accumulated much evidence on the impor tance of appropriate representations for the efficiency of AI systems. The same problem may be easy or difficult, depending on the way we describe it and on the search algorithm we use. Previous work on the automatic im provement of problem descriptions has mostly been limited to the design of individual learning algorithms. The user has traditionally been responsible for the choice of algorithms appropriate for a given problem. We present a system that integrates multiple description-changing and problem-solving algorithms. The purpose of the reported work is to formalize the concept of representation and to confirm the following hypothesis: An effective representation-changing system can be built from three parts: • a library of problem-solving algorithms; • a library of algorithms that improve problem descriptions; • a control module that selects algorithms for each given problem.
Download or read book The Mathematics of Inheritance Systems written by David S. Touretzky and published by Morgan Kaufmann. This book was released on 1986 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Symbolic and Algebraic Computation written by Patrizia Gianni and published by Springer Science & Business Media. This book was released on 1989-08-23 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ISSAC'88 is the thirteenth conference in a sequence of international events started in 1966 thanks to the then established ACM Special Interest Group on Symbolic and Algebraic Manipulation (SIGSAM). For the first time the two annual conferences "International Symposium on Symbolic and Algebraic Computation" (ISSAC) and "International Conference on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes" (AAECC) have taken place as a Joint Conference in Rome, July 4-8, 1988. Twelve invited papers on subjects of common interest for the two conferences are included in the proceedings and divided between this volume and the preceding volume of Lecture Notes in Computer Science which is devoted to AAECC-6. This book contains contributions on the following topics: Symbolic, Algebraic and Analytical Algorithms, Automatic Theorem Proving, Automatic Programming, Computational Geometry, Problem Representation and Solution, Languages and Systems for Symbolic Computation, Applications to Sciences, Engineering and Education.
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.
Download or read book Machine Learning Proceedings 1992 written by Peter Edwards and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1992
Download or read book Machine Learning written by Ryszard Stanisław Michalski and published by Morgan Kaufmann. This book was released on 1983 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning written by Ryszard Stanisław Michalski and published by Morgan Kaufmann. This book was released on 1983 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Search in Artificial Intelligence written by Leveen Kanal and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Search is an important component of problem solving in artificial intelligence (AI) and, more generally, in computer science, engineering and operations research. Combinatorial optimization, decision analysis, game playing, learning, planning, pattern recognition, robotics and theorem proving are some of the areas in which search algbrithms playa key role. Less than a decade ago the conventional wisdom in artificial intelligence was that the best search algorithms had already been invented and the likelihood of finding new results in this area was very small. Since then many new insights and results have been obtained. For example, new algorithms for state space, AND/OR graph, and game tree search were discovered. Articles on new theoretical developments and experimental results on backtracking, heuristic search and constraint propaga tion were published. The relationships among various search and combinatorial algorithms in AI, Operations Research, and other fields were clarified. This volume brings together some of this recent work in a manner designed to be accessible to students and professionals interested in these new insights and developments.
Download or read book Cognitive Radio Architecture written by Joseph Mitola, III and published by John Wiley & Sons. This book was released on 2006-09-14 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exciting new technology, described by the one who invented it This is the first book dedicated to cognitive radio, a promising new technology that is poised to revolutionize the telecommunications industry with increased wireless flexibility. Cognitive radio technology integrates computational intelligence into software-defined radio for embedded intelligent agents that adapt to RF environments and user needs. Using this technology, users can more fully exploit the radio spectrum and services available from wireless connectivity. For example, an attempt to send a 10MB e-mail in a zone where carrier charges are high might cause a cognitive radio to alert its user and suggest waiting until getting to the office to use the LAN instead. Cognitive Radio Architecture examines an "ideal cognitive radio" that features autonomous machine learning, computer vision, and spoken or written language perception. The author of this exciting new book is the inventor of the technology and a leader in the field. Following his step-by-step introduction, readers can start building aware/adaptive radios and then make steps towards cognitive radio. After an introduction to adaptive, aware, and cognitive radio, the author develops three major themes in three sections: Foundations Radio Competence User Domain Competence The book makes the design principles of cognitive radio more accessible to students of teleinformatics, as well as to wireless communications systems developers. It therefore embraces the practice of cognitive radio as well as the theory. In particular, the publication develops a cognitive architecture that integrates disparate disciplines, including autonomous machine learning, computer vision, and language perception technologies. An accompanying CD-ROM contains the Java source code and compiled class files for applications developed in the book. In addition, for the convenience of the reader, Web resources introducing key concepts such as speech applications programmer interfaces (APIs) are included. Although still five to ten years away from full deployment, telecommunications giants and research labs around the world are already dedicating R&D to this new technology. Telecommunications engineers as well as advanced undergraduate and graduate students can learn the promising possibilities of this innovative technology from the one who invented it. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Download or read book Intention based Diagnosis of Novice Programming Errors written by W. Lewis Johnson and published by Morgan Kaufmann. This book was released on 1986 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate identification and explication of program bugs requires an understanding of the programmer's intentions. Otherwise it is not possible to determine exactly what part of the program is erroneous, and how best to correct it. Understanding the programmer's intentions is doubly necessary if the programmer is a novice, and the diagnostician is a teacher who is trying to find out why the student is having difficulties. Intention-based error diagnosis has been implemented in a program called PROUST, which identifies non-syntactic bugs in programs written by novice Pascal programmers. Empirical studies of PROUST's performance show that it achieves high performance in finding bugs in non-trivial student programs. This book is intended for people interested in the application of artificial-intelligence techniques to computer-aided instruction, and to automatic program analysis, debugging, and synthesis.
Download or read book Knowledge based Interpretation of Outdoor Natural Color Scenes written by Yuichi Ohta and published by Morgan Kaufmann. This book was released on 1985 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
