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Author: Kenneth D. Forbus Publisher: MIT Press ISBN: 0262038943 Category : Psychology Languages : en Pages : 441
Book Description
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.
Author: Kenneth D. Forbus Publisher: MIT Press ISBN: 0262038943 Category : Psychology Languages : en Pages : 441
Book Description
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.
Author: Hazarika, Shyamanta M. Publisher: IGI Global ISBN: 1616928700 Category : Computers Languages : en Pages : 381
Book Description
Space and time are inextricably linked. Reasoning about space often involves reasoning about change in spatial configurations. Qualitative spatial information theory encompasses spatial as well as temporal representation and reasoning. Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions is a contribution to the emerging discipline of qualitative spatial information theory within artificial intelligence. This collection of research covers both theory and application-centric research and provides a comprehensive perspective on the emerging area of qualitative spatio-temporal representation and reasoning. This revolutionary new field is increasingly becoming a core issue within mobile computing, GIS/spatial information systems, databases, computer vision as well as knowledge discovery and data mining.
Author: Diedrich Wolter Publisher: Springer Science & Business Media ISBN: 3540690115 Category : Technology & Engineering Languages : en Pages : 199
Book Description
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.
Author: Lutz Frommberger Publisher: Springer Science & Business Media ISBN: 3642165907 Category : Computers Languages : en Pages : 174
Book Description
Reinforcement learning has developed as a successful learning approach for domains that are not fully understood and that are too complex to be described in closed form. However, reinforcement learning does not scale well to large and continuous problems. Furthermore, acquired knowledge specific to the learned task, and transfer of knowledge to new tasks is crucial. In this book the author investigates whether deficiencies of reinforcement learning can be overcome by suitable abstraction methods. He discusses various forms of spatial abstraction, in particular qualitative abstraction, a form of representing knowledge that has been thoroughly investigated and successfully applied in spatial cognition research. With his approach, he exploits spatial structures and structural similarity to support the learning process by abstracting from less important features and stressing the essential ones. The author demonstrates his learning approach and the transferability of knowledge by having his system learn in a virtual robot simulation system and consequently transfer the acquired knowledge to a physical robot. The approach is influenced by findings from cognitive science. The book is suitable for researchers working in artificial intelligence, in particular knowledge representation, learning, spatial cognition, and robotics.
Author: Meghan Cope Publisher: SAGE ISBN: 1446244563 Category : Science Languages : en Pages : 194
Book Description
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 With a detailed contextualising introduction, the text is organised in three sections: Representation: examines how researchers are using GIS to create new types of representations; working with spatial data, maps, and othervisualizations to incorporate multiple meanings and to provide texture and context. Analysis: discusses the new techniques of analysis that are emerging at the margins between qualitative research and GIS, this in the wider context of a critical review of mixed-methods in geographical research Theory: questions how knowledge is produced, showing how ideas of ′science′ and ′truth′ inform research, and demonstrates how qualitative GIS can be used to interrogate discussions of power, community, and social action 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.
Author: Maria K. E. Lahman Publisher: SAGE Publications ISBN: 1544348509 Category : Social Science Languages : en Pages : 300
Book Description
This book addresses foundational areas of qualitative writing (such as journal articles and dissertations), aesthetic representations (including poetry and autoethnography), publishing, and reflexivity in representation in one practical and engaging text based on real experiences. Author Maria K.E. Lahman draws on her experiences as a qualitative research professor and writing instructor, and as someone who has published widely in scholarly journals, employing both traditional and more innovative forms of writing. The first part of the book covers writing tips; how to represent data; how to write a qualitative thematic journal article; how to write a qualitative dissertation; and provides guidance on the publication process. The second part encourages the qualitative researcher to move beyond traditional forms of writing and consider how qualitative research can be represented more aesthetically: as poems, autoethnographies, and visually. The book concludes with a chapter on reflexivity in research representations. Throughout, the author provides vivid examples from her own work, and that of graduate students and colleagues.
Author: Maria K. E. Lahman Publisher: SAGE Publications ISBN: 1544348495 Category : Reference Languages : en Pages : 417
Book Description
This book addresses foundational areas of qualitative writing (such as journal articles and dissertations), aesthetic representations (including poetry and autoethnography), publishing, and reflexivity in representation in one practical and engaging text based on real experiences. Author Maria K.E. Lahman draws on her experiences as a qualitative research professor and writing instructor, and as someone who has published widely in scholarly journals, employing both traditional and more innovative forms of writing. The first part of the book covers writing tips; how to represent data; how to write a qualitative thematic journal article; how to write a qualitative dissertation; and provides guidance on the publication process. The second part encourages the qualitative researcher to move beyond traditional forms of writing and consider how qualitative research can be represented more aesthetically: as poems, autoethnographies, and visually. The book concludes with a chapter on reflexivity in research representations. Throughout, the author provides vivid examples from her own work, and that of graduate students and colleagues.
Author: M. Teresa Escrig Publisher: IOS Press ISBN: 9789051994124 Category : Computers Languages : en Pages : 236
Book Description
With the aim of automatically reasoning with spatial aspects in a cognitive way, several qualitative models have been developed recently in the Qualitative Spatial Reasoning field. However, there is no model to reason with several spatial aspects in a uniform way. Moreover, most of these models simplify spatial objects to points. In this book we present a novel approach for integrating the qualitative concepts of orientation, distance, and cardinal directions, using points as well as extended objects as primitive of reasoning, based on Constraint Logic Programming. The resulting model has been applied to build a qualitative Navigation Simulator on the structured environment of the city of Castellon.
Author: Daniel S. Weld Publisher: Morgan Kaufmann Publishers ISBN: Category : Computers Languages : en Pages : 744
Book Description
The ability to reason qualitatively about physical systems is important to understanding and interacting with the world for both humans and intelligent machines. Accordingly, this study has become an important subject of research in the artificial intelligence and cognitive science communities. The goal of "qualitative physics," as the field is sometimes known, is to capture both the commonsense knowledge of the person on the street and the tacit knowledge underlying the quantitative knowledge used by engineers and scientists. "Readings in Qualitative Reasoning About Physical Systems" is an introduction and source book for this dynamic area, presenting reprints of key papers chosen by the editors and a group of expert referees. The editors present introductions discussing the context and significance of each group of articles as well as providing pointers to the rest of the literature. In addition, the volume includes several original papers that are not available elsewhere.
Author: Kenneth D. Forbus
Author: Kenneth D. Forbus
Author: Hazarika, Shyamanta M.
Author: Diedrich Wolter
Author: Lutz Frommberger
Author: Meghan Cope
Author: Maria K. E. Lahman
Author: Maria K. E. Lahman
Author: M. Teresa Escrig
Author: Frank Dylla
Author: Daniel S. Weld