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Risk and protective factors in the development of psychopathology edited by Jon Rolf ... [et al.].

Colaborador(es): Detalles de publicación: Cambridge New York Cambridge University Press 1992.Edición: 1 pbk. edDescripción: xv, 554 p. ill. 25 cmISBN:
  • 0521350999 (hardback)
  • 0521439728 (pbk.)
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Descripciones mejoradas de Syndetics:

This important volume presents a definitive review of the origins and implications of developmental psychopathology and what has been learned about the phenomenon of psychosocial resilience in diverse populations at risk. Chapters by distinguished investigators in clinical psychology, psychiatry, and child development, many of whose work led to the new developmental model of psychopathology, provide a unique review of research on vulnerability and resistance to disorder spanning from infancy to adulthood. The volume is a tribute to Professor Norman Garmezy, a pioneer in developmental psychopathology and a renowned researcher of resilience in children at risk. Highlighted throughout the volume is Professor Garmezy's theme that it is as important to understand successful outcomes as it is to study pathology in the search for better treatments and the prevention of developmental behavioural problems.

"First published 1990"--T. p. verso.

"This volume is a tribute to Norman Garmezy by students and colleagues"--Pref.

Includes bibliographies and indexes.

Tabla de contenidos provista por Syndetics

  • List of contributors
  • Preface
  • Acknowledgements
  • Part I Introduction
  • 1 What is AI anyway?
  • 2 What kind of information processing is intelligence?
  • Part II The Formal Foundations of AI
  • 3 Non-monotonic reasoning versus logic programming: a new perspective
  • 4 Prolegomena to a theory of mechanized formal reasoning
  • Part III Levels of Theory
  • 5 AI: a personal view
  • 6 Has AI helped psychology?
  • 7 What's in an AI program?
  • Part IV Programs and Theories
  • 8 One smal head: models and theories
  • 9 The nature of AI principles
  • 10 What's in an AI program?
  • Part V The Role of Representations
  • 11 Thinking machines: can there be? are we?
  • 12 Evolution, error, and intentionality
  • Part VI The Role of Programs in AI
  • 13 What kind of fields is AI?
  • 14 Programs in the search for intelligent machines: the mistaken foundations of AI
  • Part VII Rational Reconstruction as an AI Methodology
  • 15 The novelties of AI: theories, rograms and rational reconstructions
  • 16 AM: a case study in AI methodology
  • Part VIII Is AI Special in Regard to its Methodology?
  • 17 Is there anything special about AI?
  • 18 What sort of a thing is an AI experiment?
  • 19 We need better standards for AI research
  • Part IX Does Connectionism Provide a New Paradigm for AI?
  • 20 Why there still has to be a language of thought
  • 21 Connectionism and the foundations of AI
  • 22 Some comments on Smolensky and Fodor
  • 23 Representation and high-speed computation in neural networks
  • Part X The Role of Correctness in AI
  • 24 Does AI have a methodology different from software engineering?
  • 25 AI, computer science and education
  • Part XI Limitations on Current AI Technology
  • 26 The challenge of open systems
  • 27 Towards a reconciliation of phenomenology and AI
  • 28 The superarticulacy phenomenon in the context of software manufacture
  • Part XII Annotated Bibliography on the Foundations of AI
  • Index of names
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