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020 a| 9780125433297 (alk. paper);

020 a| 0125433298 (alk. paper);

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245 00 a| Categorization by humans and machinesh| [electronic resource] /c| edited by Glenn V. Nakamura, Roman Taraban and Douglas L. Medin.;

260 a| San Diego :b| Academic Press,;

300 a| xvii, 552 p. :b| ill.;

490 1 a| Psychology of learning and motivation ;v| v. 29;

504 a| Includes bibliographical references and index.;

505 00 g| Introduction : a coupling of disciplines in categorization research /r| Roman Taraban --g| Part I. Models of data-driven category learning and processing --t| Models of categorization and category learning /r| W.K. Estes --t| Three principles for models of category learning /r| John K. Kruschke --t| Exemplar models and weighted cue models in category learning /r| Roman Taraban and Joaquin Marcos Palacios --t| The aquisition of categories marked by multiple probalistic cues /r| Janet L. McDonald --t| The evolution of case-based computational approach to knowledge representation, classification, and learning /r| Ray Bareiss and Brian M. Slator --g| Part II. Data-driven and theory-driven processing and processing models --t| Integrating theory and data in category learning /r| Raymond J. Mooney --t| Categorization, concept learning, and problem-solving : a unifying view /r| Douglas Fisher and Jungsoon Park Yoo --t| Processing biases, knowledge, and context in category formation /r| Thomas B. Ward --t| Categorization and rule induction in clinical diagnosis and assessment /r| Gregory H. Mumma --t| A rational theory of concepts /r| Gregory L. Murphy --g| Part III. Concepts, category boundaries, and conceptual combination --t| Concept structure and category boundaries /r| Barbara C. Malt --t| Non-predicting conceptual combinations /r| Edward J. Shoben --t| Exploring information about concepts by asking questions /r| Arthur C. Graesser, Mark C. Langston, and William B. Baggett --t| Hidden kind classifications /r| Edward Wilson Averill --t| Is cognition categorization? /r| Timothy J. van Gelder --t| What are concepts? Issues of representation and ontology /r| William F. Brewer.;

506 a| Available only to authorized users.;

538 a| Mode of access: World Wide Web;

650 12 a| Classification=| ^A918226;

650 12 a| Learning=| ^A918133;

650 22 a| Artificial Intelligence=| ^A923131;

650 22 a| Cognition=| ^A918219;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Nakamura, Glenn V.?| UNAUTHORIZED;

700 1 a| Medin, Douglas L.=| ^A104436;

700 1 a| Taraban, Roman.?| UNAUTHORIZED;

830 0 a| Psychology of learning and motivation ;v| v. 29.=| ^A805148;

856 40 z| Full text available from Book Series Backfile Package - Psychology [YBPSYC]u| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Fbookseries%2F00797421%2F29;

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Categorization by humans and machines / edited by Glenn V. Nakamura, Roman Taraban and Douglas L. Medin.

Other author	Nakamura, Glenn V.
Other author	Medin, Douglas L.
Other author	Taraban, Roman.
Format	Electronic
Publication Info	San Diego : Academic Press,
Description	xvii, 552 p. : ill.
Supplemental Content	Full text available from Book Series Backfile Package - Psychology [YBPSYC]
Subjects	Classification Learning Artificial Intelligence Cognition

Series	Psychology of learning and motivation ; v. 29 Psychology of learning and motivation ; v. 29. ^A805148
Contents	Introduction : a coupling of disciplines in categorization research / Roman Taraban -- Part I. Models of data-driven category learning and processing -- Models of categorization and category learning / W.K. Estes -- Three principles for models of category learning / John K. Kruschke -- Exemplar models and weighted cue models in category learning / Roman Taraban and Joaquin Marcos Palacios -- The aquisition of categories marked by multiple probalistic cues / Janet L. McDonald -- The evolution of case-based computational approach to knowledge representation, classification, and learning / Ray Bareiss and Brian M. Slator -- Part II. Data-driven and theory-driven processing and processing models -- Integrating theory and data in category learning / Raymond J. Mooney -- Categorization, concept learning, and problem-solving : a unifying view / Douglas Fisher and Jungsoon Park Yoo -- Processing biases, knowledge, and context in category formation / Thomas B. Ward -- Categorization and rule induction in clinical diagnosis and assessment / Gregory H. Mumma -- A rational theory of concepts / Gregory L. Murphy -- Part III. Concepts, category boundaries, and conceptual combination -- Concept structure and category boundaries / Barbara C. Malt -- Non-predicting conceptual combinations / Edward J. Shoben -- Exploring information about concepts by asking questions / Arthur C. Graesser, Mark C. Langston, and William B. Baggett -- Hidden kind classifications / Edward Wilson Averill -- Is cognition categorization? / Timothy J. van Gelder -- What are concepts? Issues of representation and ontology / William F. Brewer.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
ISBN	9780125433297 (alk. paper)
ISBN	0125433298 (alk. paper)

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