{"product_id":"minds-and-machines-isbn-9781405113496","title":"Minds and Machines","description":"\u003cp\u003e\u003cb\u003e\u003ci\u003eMinds and Machines: Connectionism and Psychological Modeling\u003c\/i\u003e examines different kinds of models and investigates some of the basic properties of connectionism in the context of synthetic psychology, including detailed accounts of how the internal structure of connectionist networks can be interpreted.\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eIntroduces connectionist models as tools that are both synthetic and representational and which can be used as the basis for conducting synthetic psychology.\u003c\/li\u003e \u003cli\u003eIncludes distinctively varied account of modeling, historical overview of the synthetic approach, and unique perspectives on connectionism.\u003c\/li\u003e \u003cli\u003eInvestigates basic properties of connectionism in the context of synthetic psychology, including detailed accounts of how the internal structure can be interpreted.\u003c\/li\u003e \u003cli\u003eProvides supplementary material online at \u003cb\u003ewww.bcp.psych.ualberta.ca\/~mike\/Book2\/\u003c\/b\u003e which includes free software for conducting connectionist simulations and instructions for building simple robots.\u003c\/li\u003e \u003c\/ul\u003e  \u003cb\u003eList of Figures.\u003c\/b\u003e \u003cp\u003e\u003cb\u003eList of Tables.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. The Kids in the Hall.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSynthetic Versus Analytic Traditions. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Advantages and Disadvantages of Modeling.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Is A Model?.\u003c\/p\u003e \u003cp\u003eAdvantages and Disadvantages of Models. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Models of Data.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAn Example of a Model of Data.\u003c\/p\u003e \u003cp\u003eProperties of Models of Data. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Mathematical Models.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAn Example Mathematical Model.\u003c\/p\u003e \u003cp\u003eMathematical Models vs. Models of Data. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Computer Simulations.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Sample Computer Simulation.\u003c\/p\u003e \u003cp\u003eConnectionist Models.\u003c\/p\u003e \u003cp\u003eProperties of Computer Simulations. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. First Steps Toward Synthetic Psychology.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eBuilding a Thoughtless Walker.\u003c\/p\u003e \u003cp\u003eStep 1: Synthesis.\u003c\/p\u003e \u003cp\u003eStep 2: Emergence.\u003c\/p\u003e \u003cp\u003eStep 3: Analysis.\u003c\/p\u003e \u003cp\u003eIssues Concerning Synthetic Psychology. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Uphill Analysis, Downhill Synthesis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eFrom Homeostats to Tortoises.\u003c\/p\u003e \u003cp\u003eAshby’s Homeostat.\u003c\/p\u003e \u003cp\u003eVehicles.\u003c\/p\u003e \u003cp\u003eSynthesis and Emergence: Some Modern Examples.\u003c\/p\u003e \u003cp\u003eThe Law of Uphill Analysis and Downhill Synthesis. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Connectionism As Synthetic Psychology.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eBeyond Sensory Reflexes.\u003c\/p\u003e \u003cp\u003eConnectionism, Synthesis, and Representation.\u003c\/p\u003e \u003cp\u003eSummary and Conclusions. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Building Associations.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFrom Associationism To Connectionism.\u003c\/p\u003e \u003cp\u003eBuilding An Associative Memory.\u003c\/p\u003e \u003cp\u003eBeyond the Limitations of Hebb Learning.\u003c\/p\u003e \u003cp\u003eAssociative Memory and Synthetic Psychology. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Making Decisions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Limits of Linearity.\u003c\/p\u003e \u003cp\u003eA Fundamental Nonlinearity.\u003c\/p\u003e \u003cp\u003eBuilding a Perceptron: A Nonlinear Associative Memory.\u003c\/p\u003e \u003cp\u003eThe Psychology of Perceptrons.\u003c\/p\u003e \u003cp\u003eThe Need for Layers. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Sequences of Decisions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Logic of Layers.\u003c\/p\u003e \u003cp\u003eTraining Multilayered Networks.\u003c\/p\u003e \u003cp\u003eA Simple Case Study: Exclusive Or.\u003c\/p\u003e \u003cp\u003eA Second Case Study: Classifying Musical Chords.\u003c\/p\u003e \u003cp\u003eA Third Case Study: From Connectionism to Selectionism. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. From Synthesis To Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRepresenting Musical Chords in a Pdp Network.\u003c\/p\u003e \u003cp\u003eInterpreting the Internal Structure of Value Unit Networks.\u003c\/p\u003e \u003cp\u003eNetwork Interpretation and Synthetic Psychology. \u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. From Here To Synthetic Psychology.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex\u003c\/p\u003e  \"In this remarkable book, Dawson refines and develops \u003ci\u003esynthetic\u003c\/i\u003e psychology – an approach to explaining mental capacities that takes as its inspiration the investigation of simple systems exhibiting emergent behavior. Rich with examples, the book shows with extraordinary clarity how ideas from embodied cognitive science, robotics, artificial life, and connectionism can be combined to shed new light on the workings of the mind. It's hard to imagine a better book for anyone wishing to understand the latest advances in cognitive science.\" \u003ci\u003eLarry Shapiro, University of Wisconsin\u003c\/i\u003e \u003c!--end--\u003e\u003cbr\u003e \u003cp\u003e\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\"\u003ci\u003eMinds and Machines\u003c\/i\u003e provides an easily understood introduction to synthetic psychology – start with simple processes, see what emerges, and analyze the resulting system. Dawson lays a solid foundation describing the strengths and weaknesses of various modeling approaches in psychology, and then builds on this by giving concrete examples of how connectionism – using the synthetic approach – can be used to provide simple explanations of seemingly complex cognitive phenomena.\" \u003ci\u003eDavid A. Medler, The Medical College of Wisconsin\u003c\/i\u003e\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\"Thisis a wonderful book, both in terms of the thought-provoking technical content and the delightfully conversational style that readers have come to expect from the author of \u003ci\u003eUnderstanding Cognitive Science\u003c\/i\u003e. Dawson has a real gift for presenting complex ideas in an accessible and engaging way that does not dilute the scientific or philosophical intricacies involved.\" \u003ci\u003eStefan C. Kremer, University of Guelph, Canada\u003c\/i\u003e\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\"An important virtue of this book is that the content and order of presentation has clearly been tested at length in the classroom of a dedicated and creative teacher. The book has many illustrations from teaching practice, and would be an excellent basis for a senior undergraduate or introductory graducate course on cognitive modelling, and I'd be delighted to use it for that purpose myself ... This is a fine book, and I suspect it would be a valuable resource for those who don't know much about synthetic psychology but would like to get a clear sense of the lie of the land.\" \u003ci\u003eDavid Spurrett, University of KwaZulu-Natal, Psychology in Society, 30, 2004, 77-79\u003c\/i\u003e\u003c\/p\u003e \u003cb\u003eMichael R. W. Dawson \u003c\/b\u003eis a member of the Department of Psychology and the Biological Computation Project at the University of Alberta, Canada. His primary research interests concern the foundations of cognitive science, learning and representation in connectionist networks, and computational models of motion perception. He is the author of \u003ci\u003eUnderstanding Cognitive Science \u003c\/i\u003e(Blackwell Publishers, 1998).  Models are important tools in psychology used to generate predictions to test the validity of theories. \u003ci\u003eMinds and Machines: Connectionism and Psychological Modeling\u003c\/i\u003e examines three different kinds of models (models of data, mathematical models, and computer simulations) and discusses a synthetic approach to modeling. Connectionist models are introduced as tools that are both synthetic and representational and that can be used as the basis for conducting synthetic psychology. The book investigates some of the basic properties of connectionism in the context of synthetic psychology, including detailed accounts of how the internal structure of connectionist networks can be interpreted. \u003cbr\u003e \u003cp\u003eA website of supplementary material is available at www.bcp.psych.ualberta.ca\/~mike\/Book2\/ and includes free software for conducting the connectionist simulations described in the book as well as instructions for building simple robots to illustrate some of the principles of the synthetic approach.\u003c\/p\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":47989630370021,"sku":"NP9781405113496","price":60.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781405113496.jpg?v=1761784878","url":"https:\/\/k12savings.com\/products\/minds-and-machines-isbn-9781405113496","provider":"K12savings","version":"1.0","type":"link"}