Qualitative Representations
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Qualitative Representations
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Author : Kenneth D. Forbus
language : en
Publisher: MIT Press
Release Date : 2019-01-29
Qualitative Representations written by Kenneth D. Forbus and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Psychology categories.
An argument that qualitative representations—symbolic representations that carve continuous phenomena into meaningful units—are central to human cognition. In this book, Kenneth Forbus proposes that qualitative representations hold the key to one of the deepest mysteries of cognitive science: how we reason and learn about the continuous phenomena surrounding us. Forbus argues that qualitative representations—symbolic representations that carve continuous phenomena into meaningful units—are central to human cognition. Qualitative representations provide a basis for commonsense reasoning, because they enable practical reasoning with very little data; this makes qualitative representations a useful component of natural language semantics. Qualitative representations also provide a foundation for expert reasoning in science and engineering by making explicit the broad categories of things that might happen and enabling causal models that help guide the application of more quantitative knowledge as needed. Qualitative representations are important for creating more human-like artificial intelligence systems with capabilities for spatial reasoning, vision, question answering, and understanding natural language. Forbus discusses, among other topics, basic ideas of knowledge representation and reasoning; qualitative process theory; qualitative simulation and reasoning about change; compositional modeling; qualitative spatial reasoning; and learning and conceptual change. His argument is notable both for presenting an approach to qualitative reasoning in which analogical reasoning and learning play crucial roles and for marshaling a wide variety of evidence, including the performance of AI systems. Cognitive scientists will find Forbus's account of qualitative representations illuminating; AI scientists will value Forbus's new approach to qualitative representations and the overview he offers.
Qualitative Representation Of Spatial Knowledge
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Author : Daniel Hernandez
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-06-28
Qualitative Representation Of Spatial Knowledge written by Daniel Hernandez and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-06-28 with Computers categories.
This book develops, for the first time, a qualitative model for the representation of spatial knowledge based only on locative relations between the objects involved. The core of this book is devoted to the study of qualitative inference methods that take into account the rich structure of space. These methods can be applied to quite a number of areas characterized by uncertain or incomplete knowledge, as for example geographic information systems, robot control, computer-aided architectural design, and natural language information systems.
Representation And Processing Of Knowledge About Distances In Environmental Space
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Author : Bettina Berendt
language : en
Publisher: IOS Press
Release Date : 1999
Representation And Processing Of Knowledge About Distances In Environmental Space written by Bettina Berendt and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
Knowledge about distances---along with knowledge about spatial direction---is one of the most important fundamentals for a cognitive agent's orientation, navigation, and route planning. However, only some distances can be perceived directly. Therefore, knowledge about distances must often be inferred from other sources of information. In cognitive science research on spatial cognition, this is investigated in different ways, using empirical studies, computer simulations, and knowledge representation approaches. This book presents a comprehensive interdisciplinary study of human distance cognition. It discusses results on knowledge about distances from artificial intelligence research and cognitive psychology, proposing an integrating formal framework. Focusing on knowledge about route distances, it then presents a computational model of the way in which humans infer knowledge about distances in environmental spaces like cities or buildings.
Biologically Motivated Computer Vision
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Author : Heinrich H. Bülthoff
language : en
Publisher: Springer
Release Date : 2003-08-02
Biologically Motivated Computer Vision written by Heinrich H. Bülthoff and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.
This book constitutes the refereed proceedings of the Second International Workshop on Biologically Motivated Computer Vision, BMCV 2002, held in Tübingen, Germany, in November 2002. The 22 revised full papers and 37 revised short papers presented together with 6 invited papers were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on neurons and features, motion, mid-level vision, recognition - from scenes to neurons, attention, robotics, and cognitive vision.
Spatial Representation And Reasoning For Robot Mapping
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Author : Diedrich Wolter
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-07-23
Spatial Representation And Reasoning For Robot Mapping written by Diedrich Wolter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-23 with Technology & Engineering categories.
This book demonstrates bene?ts of abstract and qualitative reasoning that have not received much attention in the context of autonomous robotics before. Bremen, Christian Freksa December 2007 Director of the SFB/TR 8 Spatial Cognition Preface This book addresses spatial representations and reasoning techniques for - bile robot mapping, providing an analysis of fundamental representations and processes involved. A spatial representation based on shape information is p- posed and shape analysis techniques are developed to tackle the correspondence problem in robot mapping. A general mathematical formulation is presented to provide the formal ground for an e?cient matching of con?gurations of objects. This book is a slightly revised version of my doctoral thesis submitted to the Faculty of Mathematics and Computer Science of the University of Bremen, Germany. Manycontributeto the developmentofa dissertation,butsomeofthemstand out. Christian Freksa, I thank you for supporting and encouraging my work, for introducing me to interdisciplinary work, for giving me the freedom to develop this dissertation, and for providing an enjoyable atmosphere to work in. Longin Jan Latecki, thank you for countless in-depth discussions helping me to develop andtopositionmywork,forthefruitfulcollaboration,andformakingaresearch stay possible that has been very valuable to me. I thank the research groups in Bremen and Philadelphia for helpful discussions and feedback, in particular Jan Oliver Wallgrun. ̈ I also thank Kai-Florian Richter, Sven Bertel, and Lutz Frommberger for feedback on this work. Robert Ross, thank you for helping to proof-read this dissertation.
Qualitative Gis
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Author : Meghan Cope
language : en
Publisher: SAGE
Release Date : 2009-07-23
Qualitative Gis written by Meghan Cope and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-23 with Science categories.
Geographic Information Systems are an essential tool for analyzing and representing quantitative spatial data. Qualitative GIS explains the recent integration of qualitative research with Geographical Information Systems. Making reference to representation, analysis, and theory throughout, the text shows how to frame questions, collect data, analyze results, and represent findings in a truly integrated way. An important addition to the mixed methods literature, Qualitative GIS will be the standard reference for upper-level students and researchers using qualitative methods and Geographic Information Systems.
Educating For A New Future Making Sense Of Technology Enhanced Learning Adoption
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Author : Isabel Hilliger
language : en
Publisher: Springer Nature
Release Date : 2022-09-05
Educating For A New Future Making Sense Of Technology Enhanced Learning Adoption written by Isabel Hilliger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-05 with Education categories.
This book constitutes the proceedings of the 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, held in Toulouse, France, in September 2022. The 30 research papers and 31 demo and poster papers presented in this volume were carefully reviewed and selected from 109 submissions. Chapter “Learners’ Strategies in Interactive Sorting Tasks” is available open access under a CC BY 4.0 license.
Handbook Of Knowledge Representation
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Author : Frank van Harmelen
language : en
Publisher: Elsevier
Release Date : 2008-01-08
Handbook Of Knowledge Representation written by Frank van Harmelen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-08 with Computers categories.
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
Principles Of Knowledge Representation And Reasoning
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Author : A. G. Cohn
language : en
Publisher: Morgan Kaufmann
Release Date : 2000
Principles Of Knowledge Representation And Reasoning written by A. G. Cohn and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
Learning And Instructional Technologies For The 21st Century
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Author : Leslie Moller
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-16
Learning And Instructional Technologies For The 21st Century written by Leslie Moller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-16 with Education categories.
Learning and Instructional Technologies for the 21st Century gathers research which identify models and approaches to improve learning through the inclusion of technology. These papers, from leading researchers and thinkers in instructional technology, begin by refuting the idea that education can be improved through more or better technology. Instead, the contributors emphasize specific, research-based ideas, which re-evaluate learning, reorganize schools, redirect technology, and provide instruction. Acknowledging the critical role of technology, these contributions explore technology's main advantage--its ability to enable advanced learning designs and emerging paradigms as well as to evolve learning interactions. While each paper explores a specific aspect of the role of technology, the collection shares this common theme. Without sufficient consideration to the process of learning and its many facets, technological availability alone will not provide a sustained impact on the educational process. Originating from the first AECT Research Symposium, Learning and Instructional Technologies for the 21st Century will be of interest to researchers and practitioners alike.