Model Checking and Artificial Intelligence

Model Checking and Artificial Intelligence PDF Author: Doron A. Peled
Publisher: Springer Science & Business Media
ISBN: 364200430X
Category : Computers
Languages : en
Pages : 196

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th Workshop on Model Checking and Artificial Intelligence, MOCHART 2008, held in Patras, Greece, in July 2008 as a satellite event of ECAI 2008, the 18th biannual European conference on Artificial Intelligence. The 9 revised full workshop papers presented together with 2 invited lectures have gone through two rounds of reviewing and improvement and were carefully selected for inclusion in the book. The workshop covers all ideas, research, experiments and tools that relate to both MC and AI fields.

Model Checking and Artificial Intelligence

Model Checking and Artificial Intelligence PDF Author: Stefan Edelkamp
Publisher: Springer
ISBN: 3540741283
Category : Computers
Languages : en
Pages : 193

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Book Description
The refereed post-proceedings of the 4th Workshop on Model Checking and Artificial Intelligence are presented in this volume. Eight full workshop papers are presented along with three post-proceedings papers. Papers are organized into topical sections covering planning and model checking, heuristics for real-time model checking, verification of multi-agent systems, and logics for model checking and artificial intelligence.

Model Checking and Artificial Intelligence

Model Checking and Artificial Intelligence PDF Author: Doron A. Peled
Publisher: Springer Science & Business Media
ISBN: 364200430X
Category : Computers
Languages : en
Pages : 196

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th Workshop on Model Checking and Artificial Intelligence, MOCHART 2008, held in Patras, Greece, in July 2008 as a satellite event of ECAI 2008, the 18th biannual European conference on Artificial Intelligence. The 9 revised full workshop papers presented together with 2 invited lectures have gone through two rounds of reviewing and improvement and were carefully selected for inclusion in the book. The workshop covers all ideas, research, experiments and tools that relate to both MC and AI fields.

Model Checking and Artificial Intelligence

Model Checking and Artificial Intelligence PDF Author: Ron van der Meyden
Publisher: Springer Science & Business Media
ISBN: 3642206735
Category : Computers
Languages : en
Pages : 139

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Book Description
This book presents revised versions of selected papers from the 6th Workshop on Model Checking and Artificial Intelligence, MoChArt 2010, held in Atlanta, GA, USA in July 2010, as well as papers contributed subsequent to the workshop. The 7 papers presented were carefully reviewed and selected for inclusion in this book. In addition, the book also contains an extended abstract of the invited talk held at the workshop. The topics covered by these papers are general search algorithms, application of AI techniques to automated program verification, multiagent systems and epistemic logic, abstraction, epistemic model checking, and theory of model checking.

Handbook of Model Checking

Handbook of Model Checking PDF Author: Edmund M. Clarke
Publisher: Springer
ISBN: 3319105752
Category : Computers
Languages : en
Pages : 1210

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Book Description
Model checking is a computer-assisted method for the analysis of dynamical systems that can be modeled by state-transition systems. Drawing from research traditions in mathematical logic, programming languages, hardware design, and theoretical computer science, model checking is now widely used for the verification of hardware and software in industry. The editors and authors of this handbook are among the world's leading researchers in this domain, and the 32 contributed chapters present a thorough view of the origin, theory, and application of model checking. In particular, the editors classify the advances in this domain and the chapters of the handbook in terms of two recurrent themes that have driven much of the research agenda: the algorithmic challenge, that is, designing model-checking algorithms that scale to real-life problems; and the modeling challenge, that is, extending the formalism beyond Kripke structures and temporal logic. The book will be valuable for researchers and graduate students engaged with the development of formal methods and verification tools.

Systems and Software Verification

Systems and Software Verification PDF Author: B. Berard
Publisher: Springer Science & Business Media
ISBN: 3662045583
Category : Computers
Languages : en
Pages : 188

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Book Description
Model checking is a powerful approach for the formal verification of software. It automatically provides complete proofs of correctness, or explains, via counter-examples, why a system is not correct. Here, the author provides a well written and basic introduction to the new technique. The first part describes in simple terms the theoretical basis of model checking: transition systems as a formal model of systems, temporal logic as a formal language for behavioral properties, and model-checking algorithms. The second part explains how to write rich and structured temporal logic specifications in practice, while the third part surveys some of the major model checkers available.

Model Checking Quantum Systems

Model Checking Quantum Systems PDF Author: Mingsheng Ying
Publisher: Cambridge University Press
ISBN: 1108484301
Category : Computers
Languages : en
Pages : 223

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Book Description
The first book introducing computer aided verification techniques for quantum systems with quantum computing and communication hardware.

Recent Advances in AI Planning

Recent Advances in AI Planning PDF Author: Susanne Biundo
Publisher: Springer
ISBN: 3540446575
Category : Computers
Languages : en
Pages : 382

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 5th European Conference on Planning, ECP'99, held in Durham, UK, in September 1999. The 27 revised full papers presented together with one invited survey were carefully reviewed and selected for inclusion in the book. They address all current aspects of AI planning and scheduling. Several prominent planning paradigms are represented, including planning as satisfiability and other model checking strategies, planning as heuristic state-space search, and Graph-plan-based approaches. Moreover, various new scheduling approaches and combinations of planning and scheduling methods are introduced.

Model Checking

Model Checking PDF Author: Edmund M. Clarke
Publisher: MIT Press
ISBN: 9780262032704
Category : Computers
Languages : en
Pages : 346

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Book Description
This presentation of the theory and practice of model checking includes basic as well as state-of-the-art techniques, algorithms and tools, and can be used as an introduction to the subject or a reference for researchers.

Model Checking, second edition

Model Checking, second edition PDF Author: Edmund M. Clarke, Jr.
Publisher: MIT Press
ISBN: 0262349450
Category : Computers
Languages : en
Pages : 423

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Book Description
An expanded and updated edition of a comprehensive presentation of the theory and practice of model checking, a technology that automates the analysis of complex systems. Model checking is a verification technology that provides an algorithmic means of determining whether an abstract model—representing, for example, a hardware or software design—satisfies a formal specification expressed as a temporal logic formula. If the specification is not satisfied, the method identifies a counterexample execution that shows the source of the problem. Today, many major hardware and software companies use model checking in practice, for verification of VLSI circuits, communication protocols, software device drivers, real-time embedded systems, and security algorithms. This book offers a comprehensive presentation of the theory and practice of model checking, covering the foundations of the key algorithms in depth. The field of model checking has grown dramatically since the publication of the first edition in 1999, and this second edition reflects the advances in the field. Reorganized, expanded, and updated, the new edition retains the focus on the foundations of temporal logic model while offering new chapters that cover topics that did not exist in 1999: propositional satisfiability, SAT-based model checking, counterexample-guided abstraction refinement, and software model checking. The book serves as an introduction to the field suitable for classroom use and as an essential guide for researchers.

Machine Learning for Automated Theorem Proving

Machine Learning for Automated Theorem Proving PDF Author: Sean B. Holden
Publisher:
ISBN: 9781680838985
Category :
Languages : en
Pages : 202

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Book Description
In this book, the author presents the results of his thorough and systematic review of the research at the intersection of two apparently rather unrelated fields: Automated Theorem Proving (ATP) and Machine Learning (ML).