Table of contents for Cognitive science : an introduction to the study of mind / Jay Friedenberg, Gordon Silverman.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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Contents
Chapter 1. Introduction
A Brave New World
What is Cognitive Science?
Representation
Digital Representations
Analog Representations
The Dual-coding Hypothesis
Propositional Representations
Computation
The Tri-level Hypothesis
The Classical and Connectionist Views of Computation
The Interdisciplinary Perspective
The Philosophical approach
The Psychological approach
The Cognitive approach
The Neuroscience approach
The Network approach
The Evolutionary approach
The Linguistic approach
The Artificial intelligence approach
The Robotics approach
?In Depth?: Categories of Mental Representation
?Minds on? Exercise: Analogical Reasoning
Chapter 2. The Philosophical Approach
The Philosophical Approach: Enduring Questions
The Mind-Body Problem
Flavors of Monism
Flavors of Dualism
Evaluating the Dualist Perspective
Functionalism
Evaluating the Functionalist Perspective
The Free Will and Determinism Debate
The Issue of Determinism
The Issue of Free Will
Evaluating the Free Will Determinism Debate
The Knowledge Acquisition Problem
Evaluating the Knowledge Acquistion Debate
The Mystery of Consciousness
The What-It?s-Like Argument
Mind as an Emergent Property
Evaluating the Emergent View of Mind
Consciousness and Neuroscience
Consciousness and Artificial Intelligence
Overall Evaluation of the Philosophical Approach
?In Depth?: Dennett?s Multiple Drafts Theory of Consciousness
?Minds On? Exercise: Decision Making
Chapter 3. The Psychological Approach
The Psychological Approach: A Profusion of Theories
Psychology and the Scientific Method
Mental Atoms, Mental Molecules and a Periodic Table of the Mind: The Voluntarist Movement
Evaluating the Voluntarist Approach
Structuralism: What the Mind Is
Evaluating the Structuralist Approach
Functionalism: What the Mind Does
Evaluating the Functionalist Approach
The Whole is Greater than the Sum of its Parts: Mental Physics and the Gestalt Movement
Evaluating the Gestalt Approach
Mini-minds: Mechanism and Psychoanalytic Psychology
Evaluating the Psychoanalytic Approach
Mind as a Black Box: the Behaviorist Approach
Evaluating the Behaviorist Approach
Overall Evaluation of the Psychological Approach
?In Depth?: Insight Learning
?Minds On? Exercise: Introspection
Chapter 4. The Cognitive Approach I
Some History First: The Rise of Cognitive Psychology
The Cognitive Approach: Mind as an Information Processor
Modularity of Mind
Theories of Vision and Pattern Recognition
Template Matching Theory
Evaluating the template matching model
Feature Detection Theory
Evaluating Feature Detection Theory
A Computational Theory of Vision
Evaluating the computational theory of vision
Feature Integration Theory
Evaluating Feature Integration Theory
Theories of Attention
Broadbent?s Filter Model
Evaluating the Filter Model
Treisman?s Attenuation Model
The Deutch-Norman Memory Selection Model
The Multimode Model of Attention
Kahneman?s Capacity Model of Attention
Evaluating the Capacity Model of Attention
Evaluating the Model-Building Approach
?In depth?: Biederman?s Recognition-by-Components Theory of Pattern
?Minds on? Exercise: Silhouettes and Object Constancy
Chapter 5. The Cognitive Approach II
Types of Memory
Sensory Memory
Working Memory
Long-term Memory
Memory Models
The Modal Model
Evaluating the Modal Model
The ACT* Model
Evaluating the ACT* Model
The Working Memory Model
Evaluating the Working Memory Model
Visual Imagery
The Kosslyn and Schwartz Theory of Visual Imagery
Image Structures
Image Processes
 Evaluating the Kosslyn and Schwartz Theory
The Imagery Debate
Problem Solving
The General Problem Solver Model
Evaluating the General Problem Solver Model
The SOAR Model
Evaluating the SOAR Model
Overall Evaluation of the Cognitive Approach
?In depth?: Search in Working Memory
?Minds on? Exercise: Memory Effects
Chapter 6. The Neuroscience Approach
The Neuroscience Approach: Mind as Brain
Methodology in Neuroscience
Brain Damage Techniques
Evaluating Brain Damage Techniques
Brain Recording Techniques
The Electrical Stimulation Technique
The Small Picture: Neuron Anatomy and Physiology
The Big Picture: Brain Anatomy
Directions in the Nervous System
The Cortex
The Split-brain
The Neuroscience of Visual Object Recognition
Visual agnosias
Apperceptive agnosia
Associative agnosia
Face perception
The Neuroscience of Attention
Models of Attention
A Component Process Model
Distributed Network Models
The Neuroscience of Memory
Learning and Memory
The Hippocampal System
Models of Hippocampal Function
Neural Substrates of Working Memory
Evaluating the Neuroscience of Working Memory
Neural Substrates of Long-term Memories
The Neuroscience of Executive Function and Problem Solving
Theories of Executive Function
Overall Evaluation of the Neuroscience Approach
?In depth?: Binding and Neural Synchrony
?Minds on? Exercise: Neural Functions
Chapter 7 Outline: The Network Approach
The Network Approach: Mind as a Web
Principles Underlying Artificial Neural Networks
Characteristics of Artificial Neural Networks
Early Conceptions of Neural Networks
Back Propagation and Convergent Dynamics
Artificial Neural Network Typologies
Evaluating the Connectionist Approach
Advantages
Problems and Disadvantages
Semantic Networks: Meaning in the Web
Characteristics of Semantic Networks
A Hierarchical Semantic Network. Collins and Quillian (1969)
Evaluating the Hierarchical Model
Propositional Semantic Networks
Evaluating Semantic Networks
Overall Evaluation of the Network Approach
Contrast with classic information processing view
?In depth?: NETtalk
?Minds on? Exercise: Free Association
Chapter 8. The Evolutionary Approach
The Evolutionary Approach: Change over Time
Evolutionary Psychology
A Little Background: Selection and Genetics
Evolved Psychological Mechanisms
Evolution and Cognitive Processes
Categorization
Memory
Logical Reasoning
Judgement Under Uncertainty
Language
Sex Differences in Cognition
Evolutionary Computing
Processing stages of evolutionary computing
Artificial Life
Neural Darwinism
Evaluating the Evolutionary Approach
Overall Evaluation of the Evolutionary Approach
?In depth?: A Stage Theory of Evolution
Minds on? Exercise: Memory for Object Location.	
Chapter 9. The Linguistic Approach
The Linguistic Approach: The Importance of Language
The Nature of Language
Primate Language Use
Evaluating Primate Language Use
Language Acquisition
Evaluating Language Acquisition
Language Deprivation
Evaluating Language Deprivation
Philosophy and Linguistics: The Linguistic Relativity Hypothesis
Evaluating the Linguistic Relativity Hypothesis
Cognition and Linguistics: The Role of Grammar
Evaluating Universal Grammar
Neuroscience and Linguistics: The Wernicke-Geschwind Model
Evaluating the Wernicke-Geschwind Model
Artificial Intelligence and Linguistics: Natural Language Processing
Speech Recognition
Syntactic Analysis
Semantic Analysis
Pragmatic Analysis
Evaluation of Natural Language Processing
Overall Evaluation of the Linguistic Approach
?In depth?: The Logogen Model of Word Recognition
Modern Conceptions of the Lexicon
?Minds on? Exercise: Conversational Pragmatics
Chapter 10. Artificial Intelligence I: Definitional Perspective
Introduction
Historical and Philosophical Roots
The Quest for ?Mechanical Life.?
Philosophical Origins?Man as a Machine
Evaluating Descartes? Approach
Mechanical Computation
Defining Artificial Intelligence (AI)
Evaluating the Concept of AI
Cognitive Simulation and Natural Language Communication
Learning
Operant Conditioning
Reasoning
Problem Solving
Perception
AI Methodologies
The Computer as the Tool of AI Research
Evaluation of the Computer as Model of Brain Organization
Programming
Evaluation of Programming Languages
Alan Turing and The Great Debate
Evaluation of the TT and Turing?s Detractors
The TT as an Operational Definition of AI
The TT and Behaviorism
Is the TT too easy or too difficult?
Overall Evaluation of the AI Concept. Summarizing the Meaning of AI
?In-Depth?: Behaviorism and Ned Block
Evaluating the Block Approach
?Minds on? Exercise: Play the IG game
Chapter 11. Artificial Intelligence II: Operational Perspective
Introduction
The Practical World of AI
Goals of Practical Machines
Approaches to the Design of Intelligent Agents
Machine Intelligence, Knowledge and Machine Reasoning
Machine Representation of Knowledge
The Cyc Project
Evaluation of the Cyc Project
Objectives of KR
Characteristics of Knowledge Representations
Predicates
Semantic Networks
Frames
Cases
Scripts
Machine Reasoning
Predicate Calculus
Logical Reasoning (Deduction, Abduction, Induction)
Drawing Inferences
Forward Chaining
Backward Reasoning
Inductive Reasoning
Evaluation of Rule-Based Reasoning
Expert Systems
Expert Systems in Action
Breadth-First Searching
Depth-First Searching
Breadth-First versus Depth-First Tradeoffs
Evaluations of Expert Systems
Counter Arguments
Fuzzy Logic
Representation of Information in the Fuzzy World
Fuzzy Logic Rules
Fuzzy Advice for Decision-Making or Management
Evaluation of Fuzzy Logic Systems
Artificial Neural Nets (ANNs)
Overall Evaluation of the Operational Perspective
?In-Depth?: The ID3 Algorithm
?Minds on? Exercise: Decision Making
Chapter 12. Robotics: The Ultimate Intelligent Agents
Introduction
Some Robotic Achievements
Evaluating Robotic Potentials
Biological Foundations of Robotic Paradigms
Evaluation of the Lorenz/Tinbergen Approach
Transferring Biological (Behavioral) Models to Robotics
Evaluation of the Biological Basis of Robotics
Foundations of Robotic Paradigms
Evaluation of Paradigm Foundations
Robotic Paradigms
Hierarchical Paradigm
Evaluation of the Hierarchical Paradigm
The Reactive Paradigm
Evaluation of the Reactive Paradigm
The Hybrid Deliberative/Reactive Paradigm
Evaluation of Hybrid Architectures
Overall Evaluation of Robots as Ultimate Intelligent Agents
?In-Depth?: Autonomous Robot Architecture (AuRA)
?Minds on? Exercise: Relational Graphs
Chapter 13. Conclusion
The Benefits of Cognitive Science
Working Memory: An Example of an Integrated Program of Study
The Philosophical approach
The Psychological approach
The Cognitive approach
The Neuroscience approach
The Network approach
The Evolutionary approach
The Linguistic approach
The Artificial intelligence approach
The Robotics approach
Issues in Cognitive Science
A General Issue: Lack of a Single Unified Theory
Specific Issues Facing Cognitive Science
Emotions
Consciousness
Physical Environments
Social Environments
Individual and Cultural Differences
Enhancing Cognitive Science
Evaluating Cognitive Science Theories. Thagard (2000)
The Role of Integration
Integration across Levels of Description
Integration across Disciplines
Integration across Methodology
The Future
?In depth?: Multiagent Systems
?Minds on? Exercise: Evaluating Theories of Mind
Author Index
Subject Index
About the Authors

Library of Congress Subject Headings for this publication:

Cognitive science -- Textbooks.