Ronald Brachman's Books

Knowledge Representation and Reasoning

By: Ronald Brachman,Hector Levesque

Write a review Read reviews Take a Quiz Solve Book Puzzle

Knowledge Representation and Reasoning

By: Ronald Brachman,Hector Levesque

Knowledge representation is at the very core of a radical idea for understanding intelligence. Instead of trying to understand or build brains from the bottom up, its goal is to understand and build intelligent behavior from the top down, putting the focus on what an agent needs to know in order to behave intelligently, how this knowledge can be represented symbolically, and how automated reasoning procedures can make this knowledge available as needed. This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs. - Authors are well-recognized experts in the field who have applied the techniques to real-world problems - Presents the core ideas of KR&R in a simple straight forward approach, independent of the quirks of research systems - Offers the first true synthesis of the field in over a decade

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

413

Publisher

Elsevier

Published Date

ISBN 10

008048932X

ISBN 13

9780080489322

Machines like Us

Toward AI with Common Sense

By: Ronald J. Brachman,Hector J. Levesque

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machines like Us

Toward AI with Common Sense

By: Ronald J. Brachman,Hector J. Levesque

How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. It’s sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what’s happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems. Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

319

Publisher

MIT Press

Published Date

ISBN 10

0262547325

ISBN 13

9780262547321

Uncertainty in Knowledge Bases

3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'90, Paris, France, July 2 - 6, 1990. Proceedings

By: Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A. Zadeh

Write a review Read reviews Take a Quiz Solve Book Puzzle

Uncertainty in Knowledge Bases

3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'90, Paris, France, July 2 - 6, 1990. Proceedings

By: Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A. Zadeh

One out of every two men over eigthy suffers from carcinoma of the prostate.It is discovered incidentally in many patients with an alleged benign prostatic hyperplasia. In treating patients, the authors make clear that primary radical prostatectomy is preferred over transurethral resection due to the lower complication rate.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

630

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540543465

ISBN 13

9783540543466

Neural and Brain Modeling

By: Ronald MacGregor

Write a review Read reviews Take a Quiz Solve Book Puzzle

Neural and Brain Modeling

By: Ronald MacGregor

Neural and Brain Modeling reviews models used to study neural interactions. The book also discusses 54 computer programs that simulate the dynamics of neurons and neuronal networks to illustrate between unit and systemic levels of nervous system functions. The models of neural and brain operations are composed of three sections: models of generic mechanisms; models of specific neuronal systems; and models of generic operations, networks, and systems. The text discusses the computational problems related to galvanizing a neuronal population though an activity in the multifiber input system. The investigator can use a computer technique to simulate multiple interacting neuronal populations. For example, he can investigate the case of a single local region that contains two populations of neurons: namely, a parent population of excitatory cells, and a second set of inhibitory neurons. Computer simulation models predict the various dynamic activity occurring in the complicated structure and physiology of neuronal systems. Computer models can be used in "top-down" brain/mind research where the systemic, global, and emergent properties of nervous systems are generated. The book is recommended for behavioral scientists, psychiatrists, psychologists, computer programmers, students, and professors in human behavior.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

656

Publisher

Elsevier

Published Date

ISBN 10

0323143849

ISBN 13

9780323143844

Hepatitis B Vaccines in Clinical Practice

By: Ronald W. Ellis

Write a review Read reviews Take a Quiz Solve Book Puzzle

Hepatitis B Vaccines in Clinical Practice

By: Ronald W. Ellis

This book presents current recommendations for vaccination for pre- and post-exposure prophylaxis in all suitable target populations and groups. It provides immunization guidelines from the Occupational Safety and Health Administration for health care workers and others at occupational risk of exposure and for routine vaccinations by the Immune Practices Advisory Committee of the Centers for Disease Control.;Covering all aspects of the production, testing and applications of Hepatitis B vaccines, this book: lists all available vaccines worldwide; discusses all serological assays in the field; examines how the vaccine was tested in international clinical trials; describes new programmes for universal immunization of infants; and reveals how the vaccine may prevent some forms of hepatocellular carcinoma.;The book should be of interest to: infectious disease specialists, clinical virologists, immunologists, haematologists, oncologists, hepatologists and gastroenterologists, paediatricians, pharmacologists, molecular biologists, biochemists, biotechnologists, genetic engineers, occupational safety administrators and public health specialists; and upper level undergraduate, graduate and medical school students of these disciplines.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

438

Publisher

CRC Press

Published Date

ISBN 10

1040290493

ISBN 13

9781040290491

Handbook of Developmental Toxicology

By: Ronald D. Hood

Write a review Read reviews Take a Quiz Solve Book Puzzle

Handbook of Developmental Toxicology

By: Ronald D. Hood

Developmental toxicology, an increasingly important area, encompasses the study of toxicant effects on development, from conception through puberty. The Handbook of Developmental Toxicology provides useful insights gained from hands-on experience, as well as a theoretical foundation. In this convenient reference you will find information not previously gathered in one source-including comparative developmental milestones, historical data, and a glossary of terms used in developmental toxicity evaluation. This handbook is a practical guide for individuals who are responsible for testing chemical agents and for regulatory scientists who must evaluate studies, interpret data, and perform risk assessments. Packed with features, the Handbook of Developmental Toxicology is ideal for training students and technicians in developmental toxicology.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

794

Publisher

CRC Press

Published Date

ISBN 10

0849301351

ISBN 13

9780849301353

Advances in Intelligent Computing - IPMU '94

5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, July 4-8, 1994. Selected Papers

By: Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A. Zadeh

Write a review Read reviews Take a Quiz Solve Book Puzzle

Advances in Intelligent Computing - IPMU '94

5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, July 4-8, 1994. Selected Papers

By: Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A. Zadeh

This book presents a topical selection of full refereed research papers presented during the 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU '94, held in Paris, France in July 1994. The topical focus is on the role of uncertainty in the contruction of intelligent computing systems and it is shown how the concepts of AI, neural networks, and fuzzy logic can be utilized for that purpose. In total, there are presented 63 thoroughly revised papers organized in sections on fundamental issues; theory of evidence; networks, probabilistic, statistical, and informational methods; possibility theory, logics, chaos, reusability, and applications.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

648

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540601163

ISBN 13

9783540601166

Advances in Pathology and Laboratory Medicine

By: Ronald S. Weinstein

Write a review Read reviews Take a Quiz Solve Book Puzzle

Advances in Pathology and Laboratory Medicine

By: Ronald S. Weinstein

This volume consists of 21 chapters examining a diverse group of topics relevant to the practice of pathology. A chapter on granulomas of the liver provides a review of the many causes of hepatic granulomas and their histologic appearances. Diagnosis of gastrointestinal diseases in AIDS focuses on the pathogens involved in nonspecific enteritis for HIV and AIDS patients. Epitrope retrieval (unmasking) in immunochemistry offers technical tips on antigen retrieval which restores immunoreactivity in formalin fixed tissues.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

650

Published Date

ISBN 10

0815133987

ISBN 13

9780815133988

Principles of Microbiology

By: Ronald M. Atlas

Write a review Read reviews Take a Quiz Solve Book Puzzle

Principles of Microbiology

By: Ronald M. Atlas

Scientific study of microorganisms -- Micobial physiology : cellular biology -- Microbial genetics : molecular biology -- Microbial replication and growth -- Microorganisms and human diseases -- Applied and environmental microbiology -- Survey of microorganisms.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

920

Publisher

McGraw-Hill Science, Engineering & Mathematics

Published Date

ISBN 10

0801677904

ISBN 13

9780801677908

Knowledge Representation and Reasoning

By: Ronald Brachman,Hector Levesque

Write a review Read reviews Take a Quiz Solve Book Puzzle

Knowledge Representation and Reasoning

By: Ronald Brachman,Hector Levesque

Knowledge representation is at the very core of a radical idea for understanding intelligence. This book talks about the central concepts of knowledge representation developed over the years. It is suitable for researchers and practitioners in database management, information retrieval, object-oriented systems and artificial intelligence.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

414

Publisher

Morgan Kaufmann

Published Date

ISBN 10

1558609326

ISBN 13

9781558609327

Machines like Us

Toward AI with Common Sense

By: Ronald J. Brachman,Hector J. Levesque

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machines like Us

Toward AI with Common Sense

By: Ronald J. Brachman,Hector J. Levesque

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

319

Publisher

MIT Press

Published Date

ISBN 10

0262547325

ISBN 13

9780262547321

Introduction to Logic Programming

By: Michael Genesereth,Vinay K. Chaudhri

Write a review Read reviews Take a Quiz Solve Book Puzzle

Introduction to Logic Programming

By: Michael Genesereth,Vinay K. Chaudhri

Logic Programming is a style of programming in which programs take the form of sets of sentences in the language of Symbolic Logic. Over the years, there has been growing interest in Logic Programming due to applications in deductive databases, automated worksheets, Enterprise Management (business rules), Computational Law, and General Game Playing. This book introduces Logic Programming theory, current technology, and popular applications. In this volume, we take an innovative, model-theoretic approach to logic programming. We begin with the fundamental notion of datasets, i.e., sets of ground atoms. Given this fundamental notion, we introduce views, i.e., virtual relations; and we define classical logic programs as sets of view definitions, written using traditional Prolog-like notation but with semantics given in terms of datasets rather than implementation. We then introduce actions, i.e., additions and deletions of ground atoms; and we define dynamic logic programs as sets of action definitions. In addition to the printed book, there is an online version of the text with an interpreter and a compiler for the language used in the text and an integrated development environment for use in developing and deploying practical logic programs. "This is a book for the 21st century: presenting an elegant and innovative perspective on logic programming. Unlike other texts, it takes datasets as a fundamental notion, thereby bridging the gap between programming languages and knowledge representation languages; and it treats updates on an equal footing with datasets, leading to a sound and practical treatment of action and change." - Bob Kowalski, Professor Emeritus, Imperial College London "In a world where Deep Learning and Python are the talk of the day, this book is a remarkable development. It introduces the reader to the fundamentals of traditional Logic Programming and makes clear the benefits of using the technology to create runnable specifications for complex systems." - Son Cao Tran, Professor in Computer Science, New Mexico State University "Excellent introduction to the fundamentals of Logic Programming. The book is well-written and well-structured. Concepts are explained clearly and the gradually increasing complexity of exercises makes it so that one can understand easy notions quickly before moving on to more difficult ideas." - George Younger, student, Stanford University

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

220

Publisher

Morgan & Claypool

Published Date

ISBN 10

1681737221

ISBN 13

9781681737225

Lifelong Machine Learning

By: Zhiyuan Chen,Bing Liu

Write a review Read reviews Take a Quiz Solve Book Puzzle

Lifelong Machine Learning

By: Zhiyuan Chen,Bing Liu

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks-which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning-most notably, multi-task learning, transfer learning, and meta-learning-because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

207

Publisher

Morgan & Claypool

Published Date

ISBN 10

1681733021

ISBN 13

9781681733029

Reasoning With Probabilistic and Deterministic Graphical Models

Exact Algorithms

By: Rina Dechter

Write a review Read reviews Take a Quiz Solve Book Puzzle

Reasoning With Probabilistic and Deterministic Graphical Models

Exact Algorithms

By: Rina Dechter

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art. This book provides comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. The new edition includes the notion of influence diagrams, which focus on sequential decision making under uncertainty. We believe the principles outlined in the book would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

199

Publisher

Synthesis Lectures on Artifici

Published Date

ISBN 10

1681734923

ISBN 13

9781681734927

Strategic Voting

By: Reshef Meir

Write a review Read reviews Take a Quiz Solve Book Puzzle

Strategic Voting

By: Reshef Meir

Social choice theory deals with aggregating the preferences of multiple individuals regarding several available alternatives, a situation colloquially known as voting. There are many different voting rules in use and even more in the literature, owing to the various considerations such an aggregation method should take into account. The analysis of voting scenarios becomes particularly challenging in the presence of strategic voters, that is, voters that misreport their true preferences in an attempt to obtain a more favorable outcome. In a world that is tightly connected by the Internet, where multiple groups with complex incentives make frequent joint decisions, the interest in strategic voting exceeds the scope of political science and is a focus of research in economics, game theory, sociology, mathematics, and computer science. The book has two parts. The first part asks "are there voting rules that are truthful?" in the sense that all voters have an incentive to report their true preferences. The seminal Gibbard-Satterthwaite theorem excludes the existence of such voting rules under certain requirements. From this starting point, we survey both extensions of the theorem and various conditions under which truthful voting is made possible (such as restricted preference domains). We also explore the connections with other problems of mechanism design such as locating a facility that serves multiple users. In the second part, we ask "what would be the outcome when voters do vote strategically?" rather than trying to prevent such behavior. We overview various game-theoretic models and equilibrium concepts from the literature, demonstrate how they apply to voting games, and discuss their implications on social welfare. We conclude with a brief survey of empirical and experimental findings that could play a key role in future development of game theoretic voting models.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

167

Publisher

Morgan & Claypool

Published Date

ISBN 10

1681733617

ISBN 13

9781681733616

Book's by Ronald Brachman

Knowledge Representation and Reasoning

Knowledge Representation and Reasoning

Machines like Us

Machines like Us

Uncertainty in Knowledge Bases

Uncertainty in Knowledge Bases

Neural and Brain Modeling

Neural and Brain Modeling

Hepatitis B Vaccines in Clinical Practice

Hepatitis B Vaccines in Clinical Practice

Handbook of Developmental Toxicology

Handbook of Developmental Toxicology

Advances in Intelligent Computing - IPMU '94

Advances in Intelligent Computing - IPMU '94

Advances in Pathology and Laboratory Medicine

Advances in Pathology and Laboratory Medicine

Principles of Microbiology

Principles of Microbiology

Knowledge Representation and Reasoning

Knowledge Representation and Reasoning

Machines like Us

Machines like Us

Introduction to Logic Programming

Introduction to Logic Programming

Lifelong Machine Learning

Lifelong Machine Learning

Reasoning With Probabilistic and Deterministic Graphical Models

Reasoning With Probabilistic and Deterministic Graphical Models

Strategic Voting

Strategic Voting

Username

Password

Username

Password

Password again

Birthday

Email