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Self-Organizing Natural Intelligence Issues of Knowing, Meaning, and Complexity

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ISBN-10: 1402052758

ISBN-13: 9781402052750

Edition: 2006

Authors: Myrna Estep

List price: $169.99
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Self-Organizing Natural Intelligence brings new scientific methods to intelligence research that is currently under the influence of largely classical 19 th century single causal theory and method. This out-dated classical approach has resulted in the single-capacity g-theory, a "central processor," top-down, genetically determined linguistic view of intelligence that is directly contradicted by empirical facts of human and animal studies of intelligence. This book proposes, utilizes, and demonstrates the research superiority of a highly developed multidisciplinary theory models approach to intelligence. With conceptual tools, concepts and mathematical methods more suited to continuous,…    
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Book details

List price: $169.99
Copyright year: 2006
Publisher: Springer
Publication date: 10/18/2006
Binding: Hardcover
Pages: 359
Size: 6.25" wide x 9.25" long x 0.75" tall
Weight: 1.540
Language: English

List of Abbreviations
List of Figures and Tables
The Problem of Intelligence
Some of the Basic Issues
The Single and Multiple Capacity Views
Where Are the Facts of Intelligence Found?
The Faulty Sciences of Intelligence
The Anti-Theory Bias
A Misleading Heritage of Inductivism
Confusing Cause and Correlation
Invalid Reductionism
The Faulty Genetic Argument
A Neo-Darwinist Influence
Neglect of Emerging Intelligence
Inadequacies of the Classical Linear Approach
Neglect of Theory Construction and Concept Formation
Mechanism and Organicism
Narrowing the Intelligence Domain to Suit Tools At Hand
Unexamined Assumptions, Concepts, and Fallacies
The Scope of Cognition
A Bankrupt Theory of Knowing in the Sciences of Intelligence
Kinds of Knowing and the Intellectualist Legend
A Missing Distinction between Rule-governed and Rule-bound Intelligence
Neglect of Multiple Signs and Disclosure of Intelligence
Signals, Cues, and Clues
Exhibiting and Disclosing Intelligence
Mechanical "Hard-Wired" and Natural Intelligence: Absent the Difference
Requirements for a New Science of Intelligence
A Broader Theory of Knowing
Knowledge That, Knowing How, Immediate Awareness
A Broader Theory of Signs of Intelligence
Toward Three-Dimensional Signs and Patterns
Methods of Nonlinear Science: The Emergence of Self-Organizing Dynamical Intelligence
Theory Models Approach to Intelligence Inquiry
Set Theory
Information Theory
Graph Theory and Dynamical Systems Theory
From a Symbol-based View to a Geometric View of Natural Intelligence
The Universe of Intelligence
Carving the Problem Space
Rational Inquiry and Ideology: The Differences
Careless Carving
Classical Origins and Fabric of Intelligence Theory: Cut on Biases
Plato and Aristotle's Conflicting Theoretical Stage
Plato's Dichotomy of Mind and Body
Aristotelian Dictum: Anatomy and Intelligence are Destiny
Early Differences Between Theory and Practice
Anthropocentrism, Language, Gender, Race, Size, Wealth, and Place
The Intrinsic and Instrumental Intelligence Difference
The Intelligence Center of the Universe
The Fabric of Concepts Defining Intelligence Since Darwin
Reason, Logic and Language
The Continuing Cartesian "Split": Body and Mind
Making the Natural Artificial
The Intelligence of the Large and Small
Brainless Intelligence and Intentionality?
Today's IQ Tests: Circularity, Bias, and American Eugenics
The Economic Argument
The Issue of Test Validity
Reification and the Eugenics Argument
A Static Hierarchy: g the Controller
Missing From g: Experience
Biological Determinism Revisited
Neo-Darwinism and the Heritability Argument
A Short History of Rising IQ Scores
Suspect Racial Sorting
The Genesis of Intelligence: Innate and Emergence Arguments
Categorization, Classification, Concepts and Representation
Reality and the Influence of Representationalism
The Continuing Problem with Universals (Concepts): Some History
Realists, Conceptualists, and Nominalists on Universals
Theories of Knowledge and the Scope of Intelligence
Realism, Coherence, and Pragmatism
The Language Interface Issue
A Postmodern Heritage and Realist Counterargument
Today's Representationalist Myths: Cognitive Maps in the Brain
The Innate Versus Emergence Arguments
The Genetically Encoded Syntax Argument
Nonverbal Communication: Beyond Alphanumeric Symbols and Vocalizations
From Manual Gestures to Whole Body Performances
Evolutionary Argument against Innatists
Cognitivism, Mechanism, and "Innateness": How the Mind Does Not Work
Innate Learning Mechanisms
The Classical Computational View of Mind and Intelligence
Missing Practical Intelligence
Rationalist Sources of Innate Arguments
The Intelligence of Doing: Sensorimotor Domains and Knowing How
The Intelligence of Doing
A Two-Pronged Approach to Intelligence Inquiry
Fallacies to Avoid
Cognition, Consciousness, Awareness
The Science of Awareness
Cortical Structures and Information: Neural Bases of Awareness and Intelligent Doing
Reticulo-Thalamo-Cortical (RTC) System
How Concepts (Universals) Get Formed: A Global Map Theory
The Bogus Process of Abstraction
A Spurious Sense of Induction: The Appeal to "Sampling"
A Problem with Attention
Primitive Awareness
Scientific Definitions of "Awareness"
Possible Subject Bias
Awareness of and Awareness that
Experimental Evidence of Immediate Awareness
Evidence of Awareness Under Anesthesia
What the Experiments Show
Primitives of the Preattentive Phase of Awareness
Visual Fields
Preattentive and Automatic Processes
Primitive Preattentive Features, Processes and Cognition
Preattentive Feature Integration
Possible Dichotomy of Visual Discrimination
Detection and Attention to Faces
Primitive Intelligence of Moving and Touching
Multiple Spaces of the Senses, Images and Probing
Smoothness and Timing in Intelligent Doing
Limitations of Computational Models of Awareness: Selection without Classification
Where We Enter the Circle of Cognition: Immediate Awareness
Primitive Selection and Problems with Consciousness
Universals, Mathematical Thought and Awareness
On the Origins and Nature of Mathematical Thought
The Genetic Fallacy
A Postmodern View: The Body Shapes Development and Content of Mathematics
Conceptual Metaphors and Begging the Question
The Language Causal Argument: Language Shapes the Development and Content of Mathematics
The Neurological Evidence
Thinking in Patterns and Images
Mathematical Thought and Space
Space and Theorem-Proving
The Realism Argument: Reality and Reason Shape the Development and Content of Mathematics
Ontological and Epistemological Issues
Structure of Our Inquiry
Platonic and Hilbertian Mathematics: The Issues
The Second Theorem
The Non-algorithmic Nature of Mathematical Insight
Implications of Non-algorithmic Insight to a Science of Intelligence
Other Mathematical Sources of Non-algorithmic Intelligence
Problems with Representation Theories Revisited
Naming, Indexes, Classification, Sets, Kinds and Types
Classification and the Nature of Sui Generis Objects of Immediate Awareness
Phenomenal Experience and Mathematics
Demonstrating the Problem with Indexicals
Retroduction, Reality and Non-algorithmic Insight
Perception and Mathematical Objects
The Reality of Sets and Concepts
Intersubjective Requirements of Mathematical Thought
Intelligence as Self-Organizing Emerging Complexity
Categories of Natural Intelligence
Self-Organization and Pattern Formation
Interactive Systems and Self-Organization
Mechanism and Organicism Revisited
Organized Simplicity and Unorganized Complexity
Organized Complexity
Nonlinear Theory Models Approach to Natural Intelligence
The SIGGS Theory Model
Information Theory
Information-Theoretic Extensions of Simple Feedback Model
SIGGS Applied to Natural Intelligence Systems
Elements and Signs of Natural Intelligence
The Use of Digraph Theory to Characterize Intelligence Relations
Social Network Theory and Patterns of Intelligence
Fundamental Properties of Networks: Density and Connectedness
Partial Order on the Intelligence Set
Information-Theoretic Measures on Natural Intelligence Systems
Information-Theoretic (Uncertainty) Measures of Intelligence
Measures of Uncertainty and Intelligence Categories of Occurrences
Information-Theoretic Measures of the Universal Intelligence Set
From a Symbol-based View to a Geometric View of Natural Intelligence
Boolean Networks
Random Boolean Networks
Discrete Digital and Continuous Analogue Domains
Mapping Natural Intelligence to Machine Space
Classical Architectures for Natural Intelligence
Learning, Knowledge, Knowing and Intelligence
Vectors, States, and Trajectories
Functions and Operators
Goal-seeking Intentional Behavior
Hierarchical Control
Control System Information Limitations
Biologically-Inspired Architectures: VLSI
Neuromorphic Architectures
Learning Algorithms
Self-Organizing Feature Map (SOFM)
The Problem of "Brittleness"
The Party
Noise and Uncertainty
The Role of Indexicals in Natural Intelligence
Problems with Pattern Recognition and Limits of Classification
Kinds of Space: Revisiting the Problem with Universals
Costs of Ignoring Phenomenological First-Person Experience
Problems with Complexity
Computability of Rule-Governed and Rule-Bound Natural Intelligence
Recursively Enumerable Natural Intelligence
Summary and Conclusions of Self-Organizing Natural Intelligence
A History of Biased Intelligence Space
Natural Intelligence as Self-Organizing and Emerging
Multidimensional and Multilayered Intelligence
Three Major Kinds of Natural Intelligence
Nonlinear Methods for a Science of Intelligence
Some Issues Left Unresolved
The Problem of Universals
The Problem of Indexicals
The Problem of Awareness
The Problem of Autonomy