Proceedings AAAI-88 Seventh National Conference on Artificial Intelligence, August 21-26, 1988, St. Paul, Minnesota, USA PDF Download
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Author: American Association for Artificial Intelligence
Publisher:
ISBN: 9780929280004
Category : Artificial intelligence
Languages : en
Pages : 504
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Book Description
Author: American Association for Artificial Intelligence
Publisher:
ISBN: 9780929280004
Category : Artificial intelligence
Languages : en
Pages : 504
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Book Description
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1154
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Book Description
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1144
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Book Description
First multi-year cumulation covers six years: 1965-70.
Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 3525
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Book Description
Author: Kristian Kersting
Publisher: IOS Press
ISBN: 9781586036744
Category : Computers
Languages : en
Pages : 258
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Book Description
Talks about Logic Programming, Uncertainty Reasoning and Machine Learning. This book includes definitions that circumscribe the area formed by extending Inductive Logic Programming to cases annotated with probability values. It investigates the approach of Learning from proofs and the issue of upgrading Fisher Kernels to Relational Fisher Kernels.
Author:
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages :
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Book Description
First multi-year cumulation covers six years: 1965-70.
Author: Ivan Varzinczak
Publisher: Springer Nature
ISBN: 3031113217
Category : Mathematics
Languages : en
Pages : 254
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Book Description
This book constitutes the refereed proceedings of the 12th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2022, held in Helsinki, Finland, in June 2022. The 13 full papers presented were carefully reviewed and selected from 21 submissions. The papers address various topics such as information and knowledge systems, including submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, databases, information theory, complexity theory, algorithmics and computation, statistics and optimization.
Author: Francesco Calimeri
Publisher: Springer
ISBN: 3030195708
Category : Computers
Languages : en
Pages : 822
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Book Description
This book constitutes the proceedings of the 16th European Conference on Logics in Artificial Intelligence, JELIA 2019, held in Rende, Italy, in May 2019. The 50 full papers and 10 short papers included in this volume were carefully reviewed and selected from 101 submissions. Additionally, the book contains 3 invited papers. The accepted papers span a number of areas within Logics in AI, including: belief revision and argumentation; causal, defeasible and inductive reasoning; conditional, probabilistic and propositional logic; description logics; logic programming; modal and default logic; and temporal logic.
Author: Jose L. Encarnacao
Publisher: Springer Science & Business Media
ISBN: 3642759033
Category : Computers
Languages : en
Pages : 226
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Book Description
Powerful new technology has been made available to researchers by an increasingly competitive workstation market. Papers from Canada, Japan, Italy, Germany, and the U.S., to name a few of the countries represented in this volume, discuss how workstations are used in experiments and what impact this new technology will have on experiments. As usual for IFIP workshops, the emphasis in this volume is on the formulation of strategies for future research, the determination of new market areas, and the identification of new areas for workstation research. This is the first volume of a book series reporting the work of IFIP WG 5.10. The mission of this IFIP work- ing group is to promote, develop and encourage advancement of the field of computer graphics as a basic tool, as an enabling technology and as an important part of various application areas.
Author: A. Biere
Publisher: IOS Press
ISBN: 1643681613
Category : Computers
Languages : en
Pages : 1486
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Book Description
Propositional logic has been recognized throughout the centuries as one of the cornerstones of reasoning in philosophy and mathematics. Over time, its formalization into Boolean algebra was accompanied by the recognition that a wide range of combinatorial problems can be expressed as propositional satisfiability (SAT) problems. Because of this dual role, SAT developed into a mature, multi-faceted scientific discipline, and from the earliest days of computing a search was underway to discover how to solve SAT problems in an automated fashion. This book, the Handbook of Satisfiability, is the second, updated and revised edition of the book first published in 2009 under the same name. The handbook aims to capture the full breadth and depth of SAT and to bring together significant progress and advances in automated solving. Topics covered span practical and theoretical research on SAT and its applications and include search algorithms, heuristics, analysis of algorithms, hard instances, randomized formulae, problem encodings, industrial applications, solvers, simplifiers, tools, case studies and empirical results. SAT is interpreted in a broad sense, so as well as propositional satisfiability, there are chapters covering the domain of quantified Boolean formulae (QBF), constraints programming techniques (CSP) for word-level problems and their propositional encoding, and satisfiability modulo theories (SMT). An extensive bibliography completes each chapter. This second edition of the handbook will be of interest to researchers, graduate students, final-year undergraduates, and practitioners using or contributing to SAT, and will provide both an inspiration and a rich resource for their work. Edmund Clarke, 2007 ACM Turing Award Recipient: "SAT solving is a key technology for 21st century computer science." Donald Knuth, 1974 ACM Turing Award Recipient: "SAT is evidently a killer app, because it is key to the solution of so many other problems." Stephen Cook, 1982 ACM Turing Award Recipient: "The SAT problem is at the core of arguably the most fundamental question in computer science: What makes a problem hard?"
