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于晓东

Bio: 于晓东 is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 283 citations.

Papers
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01 Jan 2015
TL;DR: 斯蒂芬·威廉·霍金(Stephen William Hawking):1942年1月8日出生于英国牛津,苷国剑桥大学应用数学与理论物理学系�
Abstract: 斯蒂芬·威廉·霍金(Stephen William Hawking),1942年1月8日出生于英国牛津,英国剑桥大学应用数学与理论物理学系教授,是继牛顿和爱因斯坦之后最杰出的物理学家之一,

317 citations


Cited by
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01 Jan 1993
TL;DR: In this paper, the authors explore the place of certainty and uncertainty in therapeutic practice and suggest that there has been a theoretical shift in the field of family therapy from a first to a second order perspective.
Abstract: This paper explores the place of certainty and uncertainty in therapeutic practice. It suggests that, for many, there has been a theoretical shift in the field of family therapy from a first to a second order perspective. To remain coherent with this shift in thinking requires a shift in practice in relation to this different way of thinking. The paper proposes one way of working towards this coherence through the use of a simple framework for working with certainty and highlights it's application for a number of different contexts including training.

184 citations

Book
20 Mar 2015
TL;DR: This book presents Quantum Models of Cognition and Decision, a new approach to Mathematical and Computational Modeling in Clinical Psychology that combines Bayesian Estimation in Hierarchical Models and Quantum Models, and its Applications.
Abstract: Preface 1. Introduction Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels Part I. Elementary Cognitive Mechanisms 2. Multidimensional Signal Detection Theory F. Gregory Ashby and Fabian A. Soto 3. Modeling Simple Decisions and Applications Using a Diffusion Model Roger Ratcliff and Philip Smith 4. Features of Response Times: Identification of Cognitive Mechanisms through Mathematical Modeling Daniel Algom, Ami Eidels, Robert X. D. Hawkins, Brett Jefferson, and James T. Townsend 5. Computational Reinforcement Learning Todd M. Gureckis and Bradley C. Love Part II. Basic Cognitive Skills 6. Why Is Accurately Labeling Simple Magnitudes So Hard? A Past, Present, and Future Look at Simple Perceptual Judgment Chris Donkin, Babette Rae, Andrew Heathcote, and Scott D. Brown 7. An Exemplar-Based Random-Walk Model of Categorization and Recognition Robert M. Nosofsky and Thomas J. Palmeri 8. Models of Episodic Memory Amy H. Criss and Marc W. Howard Part III. Higher Level Cognition 9. Structure and Flexibility in Bayesian Models of Cognition Joseph L. Austerweil, Samuel J. Gershman, and Thomas L. Griffiths 10. Models of Decision Making under Risk and Uncertainty Timothy J. Pleskac, Adele Diederich, and Thomas S. Wallsten 11. Models of Semantic Memory Michael N. Jones, Jon Willits, and Simon Dennis 12. Shape Perception Tadamasa Sawada, Yunfeng Li, and Zygmunt Pizlo Part IV. New Directions 13. Bayesian Estimation in Hierarchical Models John K. Kruschke and Wolf Vanpaemel 14. Model Comparison and the Principle of Parsimony Joachim Vandekerckhove, Dora Matzke, and Eric-Jan Wagenmakers 15. Neurocognitive Modeling of Perceptual Decision Making Thomas J. Palmeri, Jeffrey D. Schall, and Gordon D. Logan 16. Mathematical and Computational Modeling in Clinical Psychology Richard W. J. Neufeld 17. Quantum Models of Cognition and Decision Jerome R. Busemeyer, Zheng Wang, and Emmanuel Pothos Index

169 citations

Journal ArticleDOI
TL;DR: In this paper, the amplitude of the gravitational waves is proportional to the square of the radius of the Poincare disk, and an intriguing interpretation of α-attractors is based on a geometric moduli space with a boundary.

138 citations

Journal ArticleDOI
TL;DR: In this article , the authors explore the place of certainty and uncertainty in therapeutic practice and suggest that there has been a theoretical shift in the field of family therapy from a first-to a second-order perspective.
Abstract: This paper explores the place of certainty and uncertainty in therapeutic practice. It suggests that for many, there has been a theoretical shift in the field of family therapy from a first- to a second-order perspective. To remain coherent with this shift in thinking requires a shift in practice in relation to this different way of thinking. The paper proposes one way of working towards this coherence through the use of a simple framework for working with uncertainty and highlights its application for a number of different contexts including training.

123 citations

Journal ArticleDOI
TL;DR: Bioinspired research has the potential to be accessible to laboratories that have limited resources, to offer routes to new and useful function, and to bridge differences in technical and cultural interactions of different geographical regions.
Abstract: ‘Bioinspiration’—using phenomena in biology to stimulate research in non-biological science and technology—is a strategy that suggests new areas for research. Beyond its potential to nucleate new ideas, bioinspiration has two other interesting characteristics. It can suggest subjects in research that are relatively simple technically; it can also lead to areas in which results can lead to useful function more directly than some of the more familiar areas now fashionable in chemistry. Bioinspired research thus has the potential to be accessible to laboratories that have limited resources, to offer routes to new and useful function, and to bridge differences in technical and cultural interactions of different geographical regions.

84 citations