Computer Models of Mind: Computational Approaches in Theoretical Psychology
What is the mind? How does it work? How does it influence behavior? Some psychologists hope to answer such questions in terms of concepts drawn from computer science and artificial intelligence. They test their theories by modeling mental processes in computers. This book shows how computer models are used to study many psychological phenomena--including vision, language, reasoning, and learning. It also shows that computer modeling involves differing theoretical approaches. Computational psychologists disagree about some basic questions. For instance, should the mind be modeled by digital computers, or by parallel-processing systems more like brains? Do computer programs consist of meaningless patterns, or do they embody (and explain) genuine meaning?
What people are saying - Write a review
We haven't found any reviews in the usual places.
Patterns polyhedra imagery
the first three phases
Imagery in experiment and theory
Connectionist models of vision
Computational psychology according to Marr
Outline of a theory of vision
Computer models of speech
Reasoning and rationality
Critiques of Newell and Simon
Can there be a theory of problemsolving?
Mental models versus logical rules
Learning and development
Skills and taskanalysis
Metaepistemology and general principles of learning
representation of the intensityarray
Further examples of connectionism
Parsing natural language
The autonomy of syntax
How our minds might determine our syntax
Grammar liberated from context
The generation of syntax
Meaning and messages
Illbehaved sentences wellconducted conversations
Is development different?
Connectionist approaches to learning
Is computational psychology possible?
Competence and taskdefinition
for and against
Are programs pure syntax?
Computation and connectionism
Index of names
Other editions - View all
abstract algorithm analogical analysis approach architecture argued artificial intelligence ATNs basic behaviour Boden Boltzmann machine brain Chapter Chomsky claim cognitively penetrable complex computational psychology computer models computer-modelling concepts connectionism connectionist systems constraints defined described descriptions discussed distinct embodied example experimental Fodor formal formalist function functional architecture heuristics Hinton human identified imagery information-processing instance interpretation intuitions involved Johnson-Laird Kosslyn language learning linguistic logical machine mapping Marr Marr's mathematical meaning mental models mental processes meta-epistemology methodological methodological solipsism mind Neumann Newell and Simon object parser parsing patterns perception perceptrons phenomena physical physical symbol systems possible Primal Sketch primitives principle problem problem-solving procedural production-systems properties psycholinguistics psychological theories Pylyshyn question relevant representation represented rules Rumelhart scene-analysis Searle semantic sense sentence spatial specific stereopsis structure suggested symbols syntactic syntax task task-analysis theoretical tion tional types understanding verb virtual machine vision visual system von Neumann machines words zero-crossings