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Representations Of Commonsense Knowledge
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Book Synopsis Representations of Commonsense Knowledge by : Ernest Davis
Download or read book Representations of Commonsense Knowledge written by Ernest Davis and published by Morgan Kaufmann. This book was released on 2014-07-10 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representations of Commonsense Knowledge provides a rich language for expressing commonsense knowledge and inference techniques for carrying out commonsense knowledge. This book provides a survey of the research on commonsense knowledge. Organized into 10 chapters, this book begins with an overview of the basic ideas on artificial intelligence commonsense reasoning. This text then examines the structure of logic, which is roughly analogous to that of a programming language. Other chapters describe how rules of universal validity can be applied to facts known with absolute certainty to deduce other facts known with absolute certainty. This book discusses as well some prominent issues in plausible inference. The final chapter deals with commonsense knowledge about the interrelations and interactions among agents and discusses some issues in human and social interactions that have been studied in the artificial intelligence literature. This book is a valuable resource for students on a graduate course on knowledge representation.
Book Synopsis Knowledge Representation and Reasoning by : Ronald Brachman
Download or read book Knowledge Representation and Reasoning written by Ronald Brachman and published by Morgan Kaufmann. This book was released on 2004-05-19 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Commonsense Reasoning by : Erik T. Mueller
Download or read book Commonsense Reasoning written by Erik T. Mueller and published by Elsevier. This book was released on 2010-07-26 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world. - Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states. - The first full book on commonsense reasoning to use the event calculus. - Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall. - Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves. - Includes fully worked out proofs and circumscriptions for every example.
Book Synopsis Handbook of Knowledge Representation by : Frank van Harmelen
Download or read book Handbook of Knowledge Representation written by Frank van Harmelen and published by Elsevier. This book was released on 2008-01-08 with total page 1035 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Building Large Knowledge-based Systems by : Douglas B. Lenat
Download or read book Building Large Knowledge-based Systems written by Douglas B. Lenat and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter one presents the Cyc "philosophy" or paradigm. Chapter 2 presents a global overview of Cyc, including its representation language, the ontology f its knowledge base, and teh environment which it functions. Chapter 3 goes into much more detail on the representation language, including the structure and function of Cyc's metalevel agenda mechanism. Chapter 4 presents heuristics for ontological engineering, the pricnples upon whcihc Cyc's ontology is based. Chapter 5 the provides a glimpse into the global ontology of knowledge. Chapter 6 explains how we "solve" (i.e., adequately handle) the various tough representation thorns (substances, time, space, structures, composite mental/physical objects, beliefs, uncertainty, etc. ). Chapter 7 surveys the mistakes that new knowledge tnereres most often commit. Chapter 8, the concluding chapter, includes a brief status report on the project, and a statement of goals and a timetable for the coming five years.
Book Synopsis Reasoning About Knowledge by : Ronald Fagin
Download or read book Reasoning About Knowledge written by Ronald Fagin and published by MIT Press. This book was released on 2004-01-09 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reasoning about knowledge—particularly the knowledge of agents who reason about the world and each other's knowledge—was once the exclusive province of philosophers and puzzle solvers. More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms. Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory. It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is intuitive, mathematically well founded, useful in practice, and widely applicable. The book is almost completely self-contained and should be accessible to readers in a variety of disciplines, including computer science, artificial intelligence, linguistics, philosophy, cognitive science, and game theory. Each chapter includes exercises and bibliographic notes.
Book Synopsis The Dialogical Mind by : Ivana Marková
Download or read book The Dialogical Mind written by Ivana Marková and published by Cambridge University Press. This book was released on 2016-09 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marková offers a dialogical perspective to problems in daily life and professional practices involving communication, care, and therapy.
Book Synopsis Formal Theories of the Commonsense World by : Jerry R. Hobbs
Download or read book Formal Theories of the Commonsense World written by Jerry R. Hobbs and published by Intellect Books. This book was released on 1985 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of original contributions about the core knowledge in fundamental domains. It includes work on naive physics, such as formal specifications of intuitive theories of spatial relations, time causality, substance and physical objects, and on naive psychology.
Book Synopsis Strategy Representation by : Andrew S. Gordon
Download or read book Strategy Representation written by Andrew S. Gordon and published by Taylor & Francis. This book was released on 2004-07-16 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Print version originally published: Mahwah, NJ. : L. Erlbaum, 2004.
Book Synopsis Making Sense of Race, Class, and Gender by : Celine-Marie Pascale
Download or read book Making Sense of Race, Class, and Gender written by Celine-Marie Pascale and published by Routledge. This book was released on 2013-02-01 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using arresting case studies of how ordinary people understand the concepts of race, class, and gender, Celine-Marie Pascale shows that the peculiarity of commonsense is that it imposes obviousness—that which we cannot fail to recognize. As a result, how we negotiate the challenges of inequality in the twenty-first century may depend less on what people consciously think about "difference" and more on what we inadvertently assume. Through an analysis of commonsense knowledge, Pascale expertly provides new insights into familiar topics. In addition, by analyzing local practices in the context of established cultural discourses, Pascale shows how the weight of history bears on the present moment, both enabling and constraining possibilities. Pascale tests the boundaries of sociological knowledge and offers new avenues for conceptualizing social change. In 2008, Making Sense of Race, Class and Gender was the recipient of the Distinguished Contribution to Scholarship Book Award, of the American Sociological Association Section on Race, Gender, and Class, for "distinguished and significant contribution to the development of the integrative field of race, gender, and class."
Book Synopsis Knowledge in Context by : Sandra Jovchelovitch
Download or read book Knowledge in Context written by Sandra Jovchelovitch and published by Routledge. This book was released on 2019-03-11 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this classic edition of her groundbreaking text Knowledge in Context, Sandra Jovchelovitch revisits her influential work on the societal and cultural processes that shape the development of representational processes in humans. Through a novel analysis of processes of representation, and drawing on dialogues between psychology, sociology and anthropology, Jovchelovitch argues that representation, a social psychological construct relating Self, Other and Object-world, is at the basis of all knowledge. Exploring the dominant assumptions of western conceptions of knowledge and the quest for a unitary reason free from the ‘impurities’ of person, community and culture, Jovchelovitch recasts questions related to historical comparisons between the knowledge of adults and children, ‘civilised’ and ‘primitive’ peoples, scientists and lay communities and examines the ambivalence of classical theorists such as Piaget, Vygotsky, Freud, Durkheim and Lévy-Bruhl in addressing these issues. Featuring a new introductory chapter, the author evaluates the last decade of research since Knowledge in Context first appeared and reassesses the social psychology of the contemporary public sphere, exploring how challenges to the dialogicality of representations reconfigure both community and selfhood in this early 21st century. This book will make essential reading for all those wanting to follow debates on knowledge and representation at the cutting edge of social, cultural and developmental psychology, sociology, anthropology, development and cultural studies.
Book Synopsis Common Sense, Reasoning, & Rationality by : Renée Elio
Download or read book Common Sense, Reasoning, & Rationality written by Renée Elio and published by Oxford University Press, USA. This book was released on 2002 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: While common sense and rationality have often been viewed as two distinct features in a unified cognitive map, this volume engages with this notion and comes up with novel and often paradoxical views of this relationship.
Book Synopsis Transforming Social Representations by : S. Caroline Purkhardt
Download or read book Transforming Social Representations written by S. Caroline Purkhardt and published by Psychology Press. This book was released on 2015-06-19 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Common sense, by definition, is familiar to us all. Science, for some of us, is more remote, yet it is not always clear what the connections are between these two ways of seeing the world. In this title, originally published in 1993, the author explores several related themes in social psychology to elucidate the way we understand the social construction of knowledge and the means by which we change social reality. From the perspective of a critique of social representations theory, the author argues that this necessitates a change of viewpoint from the individualistic and mechanistic assumptions of Cartesian science to the social and evolutionary perspective of a Hegelian framework. This not only emphasizes the cultural and historical dimensions of social phenomena but also illuminates the social and dynamic nature of individuals. As a consequence, the discipline of social psychology must itself be transformed, recognizing the active participation of scientists in the social construction of scientific knowledge. This title will be of interest to those working in social psychology, history and philosophy of science, and sociology.
Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu
Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Book Synopsis Principles of Knowledge Representation and Reasoning by : Jon Doyle
Download or read book Principles of Knowledge Representation and Reasoning written by Jon Doyle and published by Morgan Kaufmann. This book was released on 1994 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of KR '94 comprise 55 papers on topics including deduction an search, description logics, theories of knowledge and belief, nonmonotonic reasoning and belief revision, action and time, planning and decision-making and reasoning about the physical world, and the relations between KR
Book Synopsis Encyclopedia of Artificial Intelligence by : Juan Ramon Rabunal
Download or read book Encyclopedia of Artificial Intelligence written by Juan Ramon Rabunal and published by IGI Global. This book was released on 2009-01-01 with total page 1640 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.
Book Synopsis Machines like Us by : Ronald J. Brachman
Download or read book Machines like Us written by Ronald J. Brachman and published by MIT Press. This book was released on 2023-10-17 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
