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Learning Effective Search Control Knowledge
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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.
Book Synopsis Learning Effective Search Control Knowledge by : Steven Minton
Download or read book Learning Effective Search Control Knowledge written by Steven Minton and published by . This book was released on 1988 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Learning Search Control Knowledge to Improve Plan Quality by : M. Alicia Pérez
Download or read book Learning Search Control Knowledge to Improve Plan Quality written by M. Alicia Pérez and published by . This book was released on 1995 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Generating good, production-quality plans is an essential element in transforming planners from research tools into real- world applications, but one that has been frequently overlooked in research on machine learning for planning. Most work has aimed at improving the efficiency of planning ('speed-up learning') or at acquiring or refining the planner's action model. This thesis focuses on learning search-control knowledge to improve the quality of the plans produced by the planner. Knowledge about plan quality in a domain comes in two forms: (a) a post- facto quality metric that computes the quality (e.g. execution cost) of a plan, and (b) planning-time decision-control knowledge used to guide the planner towards high-quality plans. The first kind is not operational until after a plan is produced, but is exactly the kind typically available, in contrast to the far more complex operational decision-time knowledge. Learning operational quality control knowledge can be seen as translating the domain knowledge and quality metrics into runtime decision guidance. The full automation of this mapping based on planning experience is the ultimate objective of this thesis. Given a domain theory, a domain-specific metric of plan quality, and problems which provide planning experience, the Quality architecture developed in this thesis automatically acquires operational control knowledge that effectively improves the quality of the plans generated. Quality can (optionally) learn from human experts who suggest improvements to the plans at the operator (plan step) level. We have designed two distinct domain- independent learning mechanisms to efficiently acquire quality control knowledge. They differ in the language used to represent the learned knowledge, namely control rules and control knowledge trees, and in the kinds of quality metrics for which they are best suited. Quality is fully implemented on top of the Prodigy4.0 nonlinear planner. Its empirical evaluation has shown that the learned knowledge produces near-optimal plans (reducing before-learning plan execution costs 8% to 96%). Although the learning mechanisms and learned knowledge representations have been developed for Prodigy4.0, the framework is general and addresses a problem that must be confronted by any planner that treats planning as a constructive decision-making process."
Book Synopsis Foundations of Knowledge Representation and Reasoning by : Gerhard Lakemeyer
Download or read book Foundations of Knowledge Representation and Reasoning written by Gerhard Lakemeyer and published by Springer Science & Business Media. This book was released on 1994-06-28 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers collected in this book cover a wide range of topics in asymptotic statistics. In particular up-to-date-information is presented in detection of systematic changes, in series of observation, in robust regression analysis, in numerical empirical processes and in related areas of actuarial sciences and mathematical programming. The emphasis is on theoretical contributions with impact on statistical methods employed in the analysis of experiments and observations by biometricians, econometricians and engineers.
Book Synopsis Machine Learning Proceedings 1989 by : Alberto Maria Segre
Download or read book Machine Learning Proceedings 1989 written by Alberto Maria Segre and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1989
Book Synopsis Artificial Intelligence Planning Systems by : James Hendler
Download or read book Artificial Intelligence Planning Systems written by James Hendler and published by Elsevier. This book was released on 2014-06-28 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.
Book Synopsis A Framework for Evaluating Search Control Strategies by : Jonathan Matthew Gratch
Download or read book A Framework for Evaluating Search Control Strategies written by Jonathan Matthew Gratch and published by . This book was released on 1990 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is also clear that these systems make strong assumptions about the topography of the search space, like guaranteed ascent, which we argue are violated. While our focus is on learning control strategies, the issues are relevant to the study of control knowledge in general."
Book Synopsis Machine Learning Proceedings 1991 by : Lawrence A. Birnbaum
Download or read book Machine Learning Proceedings 1991 written by Lawrence A. Birnbaum and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning
Book Synopsis Acquiring Search-control Knowledge Via Static Analysis by : Oren Etzioni
Download or read book Acquiring Search-control Knowledge Via Static Analysis written by Oren Etzioni and published by . This book was released on 1992 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Explanation-Based Learning (EBL) is a widely-used technique for acquiring search-control knowledge. Recently, Prieditis, van Harmelen, and Bundy pointed to the similarity between Partial Evaluation (PE) and EBL. However, EBL utilizes training examples whereas PE does not. It is natural to inquire, therefore, whether PE can be used to acquire search-control knowledge, and if so at what cost? This paper answers these questions by means of a case study comparing PRODIGY/EBL, a state-of-the- art EBL system, and STATIC, a PE-based analyzer of problem-space definitions. When tested in PRODIGY/EBL's benchmark problem spaces, STATIC generated search-control knowledge that was up to three times as effective as the knowledge learned by PRODIGY/EBL, and did so from twenty-six to twenty-seven times faster. The paper describes STATIC's algorithms, and compares its performance to PRODIGY/EBL's, noting when STATIC's superior performance will scale up and when it will not. The paper concludes with several lessons for the design of EBL systems, suggesting hybrid PE/EBL systems as a promising direction for future research."
Book Synopsis Inductive Synthesis of Functional Programs by : Ute Schmid
Download or read book Inductive Synthesis of Functional Programs written by Ute Schmid and published by Springer Science & Business Media. This book was released on 2003-08-21 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because of its promise to support human programmers in developing correct and efficient program code and in reasoning about programs, automatic program synthesis has attracted the attention of researchers and professionals since the 1970s. This book focusses on inductive program synthesis, and especially on the induction of recursive functions; it is organized into three parts on planning, inductive program synthesis, and analogical problem solving and learning. Besides methodological issues in inductive program synthesis, emphasis is placed on its applications to control rule learning for planning. Furthermore, relations to problem solving and learning in cognitive psychology are discussed.
Book Synopsis Readings in Music and Artificial Intelligence by : Eduardo Reck Miranda
Download or read book Readings in Music and Artificial Intelligence written by Eduardo Reck Miranda and published by Routledge. This book was released on 2013-10-28 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interplay between emotional and intellectual elements feature heavily in the research of a variety of scientific fields, including neuroscience, the cognitive sciences and artificial intelligence (AI). This collection of key introductory texts by top researchers worldwide is the first study which introduces the subject of artificial intelligence and music to beginners. Eduardo Reck Miranda received a Ph.D. in music and artificial intelligence from the University of Edinburgh, Scotland. He has published several research papers in major international journals and his compositions have been performed worldwide. Also includes 57 musical examples.
Book Synopsis Machine Learning: ECML-93 by : Pavel B. Brazdil
Download or read book Machine Learning: ECML-93 written by Pavel B. Brazdil and published by Springer Science & Business Media. This book was released on 1993-03-23 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.
Book Synopsis Speech-to-Speech Translation by : Hiroaki Kitano
Download or read book Speech-to-Speech Translation written by Hiroaki Kitano and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech--to--Speech Translation: a Massively Parallel Memory-Based Approach describes one of the world's first successful speech--to--speech machine translation systems. This system accepts speaker-independent continuous speech, and produces translations as audio output. Subsequent versions of this machine translation system have been implemented on several massively parallel computers, and these systems have attained translation performance in the milliseconds range. The success of this project triggered several massively parallel projects, as well as other massively parallel artificial intelligence projects throughout the world. Dr. Hiroaki Kitano received the distinguished `Computers and Thought Award' from the International Joint Conferences on Artificial Intelligence in 1993 for his work in this area, and that work is reported in this book.
Book Synopsis Investigating Explanation-Based Learning by : Gerald DeJong
Download or read book Investigating Explanation-Based Learning written by Gerald DeJong and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construct an explanation of a few training exemplars. The learned concept is generalized directly from this explanation. The first EBL systems of the modern era were Mitchell's LEX2, Silver's LP, and De Jong's KIDNAP natural language system. Two of these systems, Mitchell's and De Jong's, have led to extensive follow-up research in EBL. This book outlines the significant steps in EBL research of the Illinois group under De Jong. This volume describes theoretical research and computer systems that use a broad range of formalisms: schemas, production systems, qualitative reasoning models, non-monotonic logic, situation calculus, and some home-grown ad hoc representations. This has been done consciously to avoid sacrificing the ultimate research significance in favor of the expediency of any particular formalism. The ultimate goal, of course, is to adopt (or devise) the right formalism.
Book Synopsis Sixth International Conference on Tools with Artificial Intelligence by :
Download or read book Sixth International Conference on Tools with Artificial Intelligence written by and published by . This book was released on 1994 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Case-Based Reasoning Research and Development by : Klaus-Dieter Althoff
Download or read book Case-Based Reasoning Research and Development written by Klaus-Dieter Althoff and published by Springer. This book was released on 2003-07-31 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: The biennial International Conference on Case-Based Reasoning (ICCBR) - ries, which began in Sesimbra, Portugal, in 1995, was intended to provide an international forum for the best fundamental and applied research in case-based reasoning (CBR). It was hoped that such a forum would encourage the g- wth and rigor of the eld and overcome the previous tendency toward isolated national CBR communities. The foresight of the original ICCBR organizers has been rewarded by the growth of a vigorous and cosmopolitan CBR community. CBR is now widely recognized as a powerful and important computational technique for a wide range of practical applications. By promoting an exchange of ideas among CBR researchers from across the globe, the ICCBR series has facilitated the broader acceptance and use of CBR. ICCBR-99 has continued this tradition by attracting high-quality research and applications papers from around the world. Researchers from 21 countries submitted 80 papers to ICCBR-99. From these submissions, 17 papers were selected for long oral presentation, 7 were accepted for short oral presentation, and 19 papers were accepted as posters. This volume sets forth these 43 papers, which contain both mature work and innovative new ideas.
