Handbook Of Logic In Artificial Intelligence And Logic Programming Epistemic And Temporal Reasoning PDF Download
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Author | : Dov M. Gabbay |
Publisher | : Oxford University Press, USA |
Total Pages | : 611 |
Release | : 1993 |
Genre | : Computers |
ISBN | : 9780198537915 |
Download Handbook of Logic in Artificial Intelligence and Logic Programming: Epistemic and temporal reasoning Book in PDF, ePub and Kindle
The handbook of logic in artificial intelligence and logic programming is an international reference work in five volumes. It has been created in response to the growing need for an in-depth survey of the applications of logic in artifical intelligence. The dramatic increase in research in recent years means that logic is now widely recognised as one of the foundational disciplines of computing and has found applications in virtually all aspects of the subject, from software engineeringand hardware to programming languages and artificial intelligence. Yet this handbook is the first authoritative text to pull together the accumulated research level material, and as such is a unique and invaluable reference source. The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-author multi-volume work covering all the major areas of application of logic to artifical intelligence and logic programming. The Handbook comprises five volumes, each an in-depth overview of one of the major topics in this area. It is the result of years of co-operative effort by internationally renowned researchers in the field, and will no doubt be the standard reference work in artifical intelligence and logic programming for years to come- essential reading for all those interested in this subject. This latest volume covers, among other subjects, epistemic reasoning, time and change for AI, and temporal nonmonotonic reasoning.
Author | : D. M. Gabbay |
Publisher | : |
Total Pages | : 0 |
Release | : 1993 |
Genre | : Artificial intelligence |
ISBN | : |
Download Handbook of Logic in Artificial Intelligence and Logic Programming. 0- 19-853791-3 Book in PDF, ePub and Kindle
Author | : Dov M. Gabbay |
Publisher | : |
Total Pages | : 611 |
Release | : 1995 |
Genre | : |
ISBN | : 9780198537915 |
Download Epistemic and Temporal Reasoning Book in PDF, ePub and Kindle
Author | : Dov M. Gabbay |
Publisher | : Clarendon Press |
Total Pages | : 818 |
Release | : 1998-01-08 |
Genre | : Computers |
ISBN | : 0191546283 |
Download Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 5: Logic Programming Book in PDF, ePub and Kindle
The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-volume work covering all major areas of the application of logic to artificial intelligence and logic programming. The authors are chosen on an international basis and are leaders in the fields covered. Volume 5 is the last in this well-regarded series. Logic is now widely recognized as one of the foundational disciplines of computing. It has found applications in virtually all aspects of the subject, from software and hardware engineering to programming languages and artificial intelligence. In response to the growing need for an in-depth survey of these applications the Handbook of Logic in Artificial Intelligence and its companion, the Handbook of Logic in Computer Science have been created. The Handbooks are a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. Some mathematical background is assumed, and much of the material will be of interest to logicians and mathematicians. Volume 5 focuses particularly on logic programming. The chapters, which in many cases are of monograph length and scope, emphasize possible unifying themes.
Author | : Alan J.A. Robinson |
Publisher | : Elsevier |
Total Pages | : 1198 |
Release | : 2001-06-21 |
Genre | : Computers |
ISBN | : 9780444508126 |
Download Handbook of Automated Reasoning Book in PDF, ePub and Kindle
Handbook of Automated Reasoning.
Author | : Frank van Harmelen |
Publisher | : Elsevier |
Total Pages | : 1035 |
Release | : 2008-01-08 |
Genre | : Computers |
ISBN | : 0080557023 |
Download Handbook of Knowledge Representation Book in PDF, ePub and Kindle
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily
Author | : Michael David Fisher |
Publisher | : Elsevier |
Total Pages | : 753 |
Release | : 2005-03-01 |
Genre | : Computers |
ISBN | : 0080533361 |
Download Handbook of Temporal Reasoning in Artificial Intelligence Book in PDF, ePub and Kindle
This collection represents the primary reference work for researchers and students in the area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to play in many areas, particularly Artificial Intelligence. Yet, until now, there has been no single volume collecting together the breadth of work in this area. This collection brings together the leading researchers in a range of relevant areas and provides an coherent description of the breadth of activity concerning temporal reasoning in the filed of Artificial Intelligence. Key Features: - Broad range: foundations; techniques and applications - Leading researchers around the world have written the chapters - Covers many vital applications - Source book for Artificial Intelligence, temporal reasoning - Approaches provide foundation for many future software systems · Broad range: foundations; techniques and applications · Leading researchers around the world have written the chapters · Covers many vital applications · Source book for Artificial Intelligence, temporal reasoning · Approaches provide foundation for many future software systems
Author | : R.H. Johnson |
Publisher | : Elsevier |
Total Pages | : 509 |
Release | : 2002-09-11 |
Genre | : Computers |
ISBN | : 0080532918 |
Download Handbook of the Logic of Argument and Inference Book in PDF, ePub and Kindle
The Handbook of the Logic of Argument and Inference is an authoritative reference work in a single volume, designed for the attention of senior undergraduates, graduate students and researchers in all the leading research areas concerned with the logic of practical argument and inference. After an introductory chapter, the role of standard logics is surveyed in two chapters. These chapters can serve as a mini-course for interested readers, in deductive and inductive logic, or as a refresher. Then follow two chapters of criticism; one the internal critique and the other the empirical critique. The first deals with objections to standard logics (as theories of argument and inference) arising from the research programme in philosophical logic. The second canvasses criticisms arising from work in cognitive and experimental psychology. The next five chapters deal with developments in dialogue logic, interrogative logic, informal logic, probability logic and artificial intelligence. The last chapter surveys formal approaches to practical reasoning and anticipates possible future developments. Taken as a whole the Handbook is a single-volume indication of the present state of the logic of argument and inference at its conceptual and theoretical best. Future editions will periodically incorporate significant new developments.
Author | : Dov M. Gabbay |
Publisher | : Clarendon Press |
Total Pages | : 534 |
Release | : 1993-06-24 |
Genre | : Mathematics |
ISBN | : 9780198537458 |
Download Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 1: Logic Foundations Book in PDF, ePub and Kindle
BL A comprehensive five volume work BL Sets the standard in reference for logic and artificial intelligence The Handbook of Logic in Artificial Intelligence and Logic Programming will be published in five volumes. The handbook comes in response to the growing need for an in-depth survey of the applications of logic in artificial intelligence and computer science. This first volume presents the logical foundations and deduction methodologies extensively used in AI.
Author | : Jack Minker |
Publisher | : Springer Science & Business Media |
Total Pages | : 600 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 146151567X |
Download Logic-Based Artificial Intelligence Book in PDF, ePub and Kindle
The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.