Theories of Consciousness
Epigraph
About this Book
0.1
Scope of the Book
0.2
Suggested Citation Style
Notes for Readers
0.3
Citation
Preface
0.4
Guiding Questions
0.5
Methodological Approach
0.6
Scope of the Book
0.7
Who This Book Is For
0.8
What This Book Is Not
0.9
How to Use This Book
1
Introduction to Consciousness Studies
1.1
Chapter Overview
1.2
Learning Objectives
1.3
Why Consciousness Matters
1.4
Consciousness as an Interdisciplinary Problem
1.5
Why Consciousness Is Difficult to Study
1.6
Multiple Levels of Explanation
1.7
Defining Consciousness
1.8
The Easy Problems and the Hard Problem
1.9
Neural Correlates of Consciousness
1.10
Why Theories of Consciousness Differ
1.11
Framework for Evaluating Theories
1.12
Artificial Intelligence and Machine Consciousness
1.13
Contemporary State of the Field
1.14
Structure of the Book
2
The Hard Problem of Consciousness
2.1
Chapter Overview
2.2
Learning Objectives
2.3
The Basic Distinction
2.4
The Central Conceptual Tension
2.5
Historical Background
2.6
The Easy Problems
2.7
The Hard Problem
2.8
Why the Hard Problem Feels Different
2.9
The Explanatory Gap
2.10
Phenomenal and Access Consciousness
2.11
Qualia and Subjective Experience
2.12
Thought Experiments and the Hard Problem
2.12.1
Philosophical Zombies
2.12.2
Mary’s Room
2.12.3
Nagel’s Bat
2.12.4
Inverted Spectrum
2.13
Why the Hard Problem Matters
2.14
Criticisms of the Hard Problem
2.15
Responses to the Hard Problem
2.15.1
Reductionism
2.15.2
Functionalism
2.15.3
Dualism
2.15.4
Panpsychism
2.15.5
Illusionism
2.15.6
Integrated Information Theory
2.15.7
Global Workspace Theory
2.16
Why the Debate Persists
2.17
Evaluation
2.18
Chapter Summary
3
Historical Development of Consciousness Research
3.1
Chapter Overview
3.2
Learning Objectives
3.3
Historical Evolution of Consciousness Research
3.4
Changing Questions Across History
3.5
Classical and Early Modern Philosophy
3.6
Introspection and Early Scientific Psychology
3.7
Behaviourism and the Rejection of Consciousness
3.8
The Cognitive Revolution
3.9
Neuroscience and the Search for Neural Correlates
3.10
The Emergence of the Hard Problem
3.11
Contemporary Theories of Consciousness
3.11.1
Consciousness-First and T-Consciousness Frameworks
3.12
Artificial Intelligence and Machine Consciousness
3.13
Contemporary Interdisciplinary Research
3.14
Current State of the Field
3.15
Main Historical Conclusion
3.16
Chapter Summary
4
Dualism
4.1
Chapter Overview
4.2
Learning Objectives
4.3
What Dualism Claims
4.4
Historical Development
4.5
Dualism and the Hard Problem
4.6
Major Forms of Dualism
4.6.1
Substance Dualism
4.6.2
Property Dualism
4.6.3
Interactionist Dualism
4.6.4
Epiphenomenalism
4.6.5
Naturalistic Dualism
4.7
Conceptual Framework
4.8
Dualism and Qualia
4.9
The Interaction Problem
4.10
Mental Causation and Agency
4.11
Empirical Relevance and Scientific Challenges
4.12
Strengths of Dualism
4.13
Weaknesses of Dualism
4.14
Dualism and Artificial Intelligence
4.15
Dualism and Other Theories
4.16
Evaluation
4.17
Chapter Summary
5
Physicalism and Materialist Theories of Consciousness
5.1
Chapter Overview
5.2
Learning Objectives
5.3
The Core Idea of Physicalism
5.4
Why Physicalism Became Dominant
5.5
Physicalism as a Response to Dualism
5.6
Core Assumptions of Physicalism
5.7
Major Forms of Physicalism
5.7.1
Reductive Physicalism
5.7.2
Non-Reductive Physicalism
5.7.3
Functionalist Materialism
5.7.4
Eliminative Materialism
5.7.5
Emergent Physicalism
5.8
Neural Dependence of Consciousness
5.9
Correlation and Explanation
5.10
Physicalism and the Hard Problem
5.11
Physicalism, Qualia, and the Knowledge Argument
5.12
Multiple Realizability and Physicalism
5.13
Physicalism and Artificial Intelligence
5.14
Strengths of Physicalism
5.15
Weaknesses and Criticisms
5.16
Physicalism and Other Theories
5.17
Evaluation
5.18
Chapter Summary
6
Functionalism
6.1
Chapter Overview
6.2
Learning Objectives
6.3
The Core Idea of Functionalism
6.4
Why Functionalism Was Revolutionary
6.5
Historical Development
6.6
Functional Organization
6.7
Multiple Realizability
6.8
Major Forms of Functionalism
6.8.1
Machine-State Functionalism
6.8.2
Psycho-Functionalism
6.8.3
Analytic Functionalism
6.8.4
Computational Functionalism
6.8.5
Teleofunctionalism
6.9
Functionalism and Consciousness
6.10
Functionalism and Artificial Intelligence
6.11
Functionalism and Modern Consciousness Theories
6.12
Embodiment and Enactive Challenges
6.13
Classic Criticisms of Functionalism
6.13.1
Absent Qualia
6.13.2
Inverted Qualia
6.13.3
The Chinese Room
6.13.4
Block’s China Brain
6.14
Strengths of Functionalism
6.15
Weaknesses and Limitations
6.16
Functionalism and Other Theories
6.17
Evaluation
6.18
Chapter Summary
7
Emergentism
7.1
Chapter Overview
7.2
Learning Objectives
7.3
Why Emergence Became Appealing
7.4
Historical Development
7.5
The Core Idea of Emergence
7.6
Emergence Across Levels of Organization
7.7
Weak and Strong Emergence
7.7.1
Weak Emergence
7.7.2
Strong Emergence
7.8
Consciousness and Complex Systems
7.9
Emergence and Neural Integration
7.10
Downward Causation
7.11
Empirical Relevance
7.12
Emergentism and Artificial Intelligence
7.13
Relation to Other Theories
7.13.1
Relation to Physicalism
7.13.2
Relation to Functionalism
7.13.3
Relation to Dualism
7.13.4
Relation to Consciousness-First Theories
7.14
Strengths of Emergentism
7.15
Weaknesses and Criticisms
7.16
Open Questions
7.17
Evaluation
7.18
Chapter Summary
8
Global Workspace Theory
8.1
Chapter Overview
8.2
Learning Objectives
8.3
The Core Idea of Global Workspace Theory
8.4
Why Global Workspace Theory Became Influential
8.5
Historical Development
8.6
Baars’ Theatre Metaphor
8.7
Conscious and Unconscious Processing
8.8
Competition for Workspace Access
8.9
Neural Ignition and the Global Neuronal Workspace
8.10
Attention and Consciousness
8.11
Access Consciousness and Phenomenal Consciousness
8.12
Experimental Evidence
8.13
No-Report Paradigms
8.14
Relation to Other Theories
8.14.1
Relation to Functionalism
8.14.2
Relation to Recurrent Processing Theory
8.14.3
Relation to Integrated Information Theory
8.14.4
Relation to Predictive Processing
8.14.5
Relation to Higher-Order and Attention Schema Theories
8.14.6
Relation to Consciousness-First Theories
8.15
Strengths of Global Workspace Theory
8.16
Weaknesses and Criticisms
8.17
Global Workspace Theory and Artificial Intelligence
8.18
Open Questions
8.19
Evaluation
8.20
Chapter Summary
9
Integrated Information Theory
9.1
Chapter Overview
9.2
Learning Objectives
9.3
Why Integrated Information Theory Became Influential
9.4
Historical Development
9.5
The Phenomenological Starting Point
9.6
IIT’s Phenomenological Axioms
9.6.1
Intrinsic Existence
9.6.2
Composition
9.6.3
Information
9.6.4
Integration
9.6.5
Exclusion
9.7
Integrated Information and Φ
9.8
Irreducibility and System Unity
9.9
Intrinsic Cause-Effect Structure
9.10
Consciousness as a Spectrum
9.11
IIT and Neuroscience
9.12
IIT and the Hard Problem
9.13
Relation to Other Theories
9.13.1
Relation to Global Workspace Theory
9.13.2
Relation to Functionalism
9.13.3
Relation to Emergentism
9.13.4
Relation to Recurrent Processing and Predictive Processing
9.13.5
Relation to Panpsychism and Consciousness-First Theories
9.14
Strengths of Integrated Information Theory
9.15
Weaknesses and Criticisms
9.16
IIT and Artificial Intelligence
9.17
Open Questions
9.18
Evaluation
9.19
Chapter Summary
10
Higher-Order Thought Theory
10.1
Chapter Overview
10.2
Learning Objectives
10.3
Why HOT Theory Became Influential
10.4
Historical Development
10.5
The Core Idea of Higher-Order Representation
10.6
First-Order Mental States
10.7
Higher-Order Thoughts
10.8
Metacognition and Reflective Awareness
10.9
Conscious and Unconscious Processing
10.10
HOT and Blindsight
10.11
Neural Basis of HOT Theory
10.12
HOT Compared with Other Theories
10.12.1
Relation to Global Workspace Theory
10.12.2
Relation to Integrated Information Theory
10.12.3
Relation to Recurrent Processing Theory
10.12.4
Relation to Predictive Processing
10.12.5
Relation to Attention Schema Theory
10.12.6
Relation to Consciousness-First Theories
10.13
HOT and the Hard Problem
10.14
Strengths of HOT Theory
10.15
Weaknesses and Criticisms
10.16
HOT and Artificial Intelligence
10.17
Open Questions
10.18
Evaluation
10.19
Chapter Summary
11
Predictive Processing and Active Inference
11.1
Chapter Overview
11.2
Learning Objectives
11.3
Why Predictive Processing Became Influential
11.4
Core Idea in One Picture
11.5
Historical Development
11.6
The Brain as a Prediction Machine
11.7
Generative Models
11.8
Prediction-Error Minimization
11.9
Passive Perception and Predictive Perception
11.10
Hierarchical Predictive Processing
11.11
Precision Weighting
11.12
Active Inference
11.13
Consciousness and Predictive Processing
11.14
Hallucinations and Altered States
11.15
Selfhood and Interoception
11.16
Predictive Processing Compared with Other Theories
11.16.1
Relation to Global Workspace Theory
11.16.2
Relation to Integrated Information Theory
11.16.3
Relation to Higher-Order Thought Theory
11.16.4
Relation to Recurrent Processing Theory
11.16.5
Relation to Attention Schema Theory
11.16.6
Relation to Embodied and Enactive Theories
11.16.7
Relation to Consciousness-First Theories
11.17
Empirical Support
11.18
Strengths of Predictive Processing
11.19
Weaknesses and Criticisms
11.20
Predictive Processing and Artificial Intelligence
11.21
Open Questions
11.22
Evaluation
11.23
Chapter Summary
12
Recurrent Processing Theory
12.1
Chapter Overview
12.2
Learning Objectives
12.3
Why Recurrent Processing Theory Became Influential
12.4
Core Idea in One Picture
12.5
Historical Development
12.6
Feedforward and Recurrent Processing
12.7
The Core Claim of RPT
12.8
Temporal Dynamics of Consciousness
12.9
Visual Masking
12.10
Binocular Rivalry and Perceptual Competition
12.11
Phenomenal and Access Consciousness
12.12
Phenomenal Overflow
12.13
Recurrent Processing and Global Workspace Theory
12.14
Relation to Other Theories
12.14.1
Relation to Integrated Information Theory
12.14.2
Relation to Higher-Order Thought Theory
12.14.3
Relation to Predictive Processing
12.14.4
Relation to Attention Schema Theory
12.14.5
Relation to Consciousness-First Theories
12.15
Dreaming, Anesthesia, and Altered States
12.16
Neural Basis of Recurrent Processing
12.17
Recurrent Processing and Artificial Intelligence
12.18
Strengths of Recurrent Processing Theory
12.19
Weaknesses and Criticisms
12.20
Open Questions
12.21
Evaluation
12.22
Chapter Summary
13
Attention Schema Theory
13.1
Chapter Overview
13.2
Learning Objectives
13.3
Why Attention Schema Theory Became Influential
13.4
Core Idea in One Picture
13.5
Historical Development
13.6
The Attention Schema
13.7
Attention and Awareness
13.8
The Body-Schema Analogy
13.9
Attention Control and Prediction
13.10
Why Awareness Would Evolve
13.11
Social Cognition and Theory of Mind
13.12
Neural Basis of AST
13.13
Clinical Evidence
13.14
Consciousness as a Model-Based Construct
13.15
AST and Other Theories
13.15.1
Relation to Higher-Order Thought Theory
13.15.2
Relation to Global Workspace Theory
13.15.3
Relation to Recurrent Processing Theory
13.15.4
Relation to Predictive Processing
13.15.5
Relation to Embodied and Enactive Theories
13.15.6
Relation to Consciousness-First Theories
13.16
AST and the Hard Problem
13.17
Attention Without Awareness and Awareness Without Attention
13.18
Strengths of Attention Schema Theory
13.19
Weaknesses and Criticisms
13.20
AST and Artificial Intelligence
13.21
Open Questions
13.22
Evaluation
13.23
Chapter Summary
14
Computationalism
14.1
Chapter Overview
14.2
Learning Objectives
14.3
Why Computationalism Became Influential
14.4
Core Idea in One Picture
14.5
Historical Development
14.6
What Is Computation?
14.7
Functional Organization
14.8
Substrate Independence
14.9
Representation and Information Processing
14.10
Symbolic Computationalism
14.11
Connectionism
14.12
Computationalism and Artificial Intelligence
14.13
Computationalism and Functionalism
14.14
Syntax and Semantics
14.15
The Chinese Room Argument
14.16
Computationalism and Biological Naturalism
14.17
Embodiment Critiques
14.18
Simulation and Instantiation
14.19
Computational Neuroscience
14.20
Relation to Other Theories
14.20.1
Relation to Physicalism
14.20.2
Relation to Functionalism
14.20.3
Relation to Global Workspace Theory
14.20.4
Relation to Predictive Processing
14.20.5
Relation to Biological and Embodied Theories
14.20.6
Relation to Consciousness-First Theories
14.21
Strengths of Computationalism
14.22
Weaknesses and Criticisms
14.23
Computationalism and the Hard Problem
14.24
Implications for Artificial Consciousness
14.25
Open Questions
14.26
Evaluation
14.27
Chapter Summary
15
Bayesian Brain and Predictive Inference
15.1
Chapter Overview
15.2
Learning Objectives
15.3
Why Bayesian Brain Theories Became Influential
15.4
Core Idea in One Picture
15.5
Historical Development
15.6
Bayesian Inference
15.7
The Brain as a Prediction Machine
15.8
Hierarchical Predictive Processing
15.9
Prediction Error
15.10
Perception Under Uncertainty
15.11
Precision Weighting and Attention
15.12
The Free Energy Principle
15.13
Consciousness and Predictive Models
15.14
Hallucinations and Altered States
15.15
Bayesian Brain and Other Theories
15.15.1
Relation to Predictive Processing
15.15.2
Relation to Global Workspace Theory
15.15.3
Relation to Integrated Information Theory
15.15.4
Relation to Recurrent Processing Theory
15.15.5
Relation to Higher-Order Thought Theory
15.15.6
Relation to Attention Schema Theory
15.15.7
Relation to Embodied and Enactive Theories
15.15.8
Relation to Consciousness-First Theories
15.16
Empirical Support
15.17
Bayesian Approaches and Artificial Intelligence
15.18
Strengths of Bayesian Approaches
15.19
Weaknesses and Criticisms
15.20
Relation to the Hard Problem
15.21
Explanatory Scope
15.22
Evaluation
15.23
Chapter Summary
16
Panpsychism
16.1
Chapter Overview
16.2
Learning Objectives
16.3
Core Idea in One Picture
16.4
The Problem of Emergence
16.5
Historical Development
16.6
Core Assumptions of Panpsychism
16.7
Proto-Consciousness
16.8
Russellian Monism
16.9
The Combination Problem
16.10
Constitutive Panpsychism
16.11
Cosmopsychism
16.12
Panpsychism, Physicalism, and Dualism
16.13
Consciousness as a Continuum
16.14
Panpsychism and Integrated Information Theory
16.15
Panpsychism and T-Consciousness
16.16
Panpsychism and Artificial Intelligence
16.17
Empirical Challenges
16.18
Strengths of Panpsychism
16.19
Weaknesses and Criticisms
16.20
Relation to the Hard Problem
16.21
Relation to Other Theories
16.21.1
Relation to Physicalism
16.21.2
Relation to Dualism
16.21.3
Relation to Emergentism
16.21.4
Relation to Integrated Information Theory
16.21.5
Relation to Computationalism
16.21.6
Relation to Consciousness-First Theories
16.22
Open Questions
16.23
Evaluation
16.24
Chapter Summary
17
Quantum Theories of Consciousness
17.1
Chapter Overview
17.2
Learning Objectives
17.3
Core Idea in One Picture
17.4
Why Quantum Theories Exist
17.5
Basic Quantum Concepts
17.5.1
Superposition
17.5.2
Quantum Coherence
17.5.3
Entanglement
17.5.4
Quantum State Reduction
17.6
Historical Development
17.7
Penrose and Non-Computability
17.8
The Orch-OR Theory
17.9
The Decoherence Debate
17.10
Quantum Superposition and Conscious Experience
17.11
Quantum Entanglement and the Unity of Consciousness
17.12
Quantum and Classical Computation
17.13
Quantum Theories and Artificial Intelligence
17.14
Quantum Theories and T-Consciousness
17.15
Scientific Status of Quantum Theories
17.16
Strengths of Quantum Theories
17.17
Weaknesses and Criticisms
17.18
Relation to the Hard Problem
17.19
Relation to Other Theories
17.19.1
Relation to Computationalism
17.19.2
Relation to Biological Naturalism
17.19.3
Relation to Global Workspace Theory
17.19.4
Relation to Integrated Information Theory
17.19.5
Relation to Panpsychism
17.19.6
Relation to T-Consciousness
17.20
Open Questions
17.21
Evaluation
17.22
Chapter Summary
18
Illusionism
18.1
Chapter Overview
18.2
Learning Objectives
18.3
Core Idea in One Picture
18.4
The Hard Problem and the Illusionist Response
18.5
What Illusionism Does Not Deny
18.6
Qualia and Phenomenal Properties
18.7
Historical Development
18.8
Dennett and Heterophenomenology
18.9
Introspection and Self-Modeling
18.10
The Meta-Problem of Consciousness
18.11
The User-Interface Analogy
18.12
Access Consciousness and Phenomenal Consciousness
18.13
Illusionism and Artificial Intelligence
18.14
Relation to Other Theories
18.14.1
Relation to Physicalism
18.14.2
Relation to Functionalism
18.14.3
Relation to Higher-Order Thought Theory
18.14.4
Relation to Attention Schema Theory
18.14.5
Relation to Predictive Processing
18.14.6
Relation to Panpsychism
18.14.7
Relation to T-Consciousness
18.15
Empirical Relevance
18.16
Strengths of Illusionism
18.17
Weaknesses and Criticisms
18.18
Relation to the Hard Problem
18.19
Explanatory Scope
18.20
Evaluation
18.21
Chapter Summary
19
Embodied and Enactive Consciousness
19.1
Chapter Overview
19.2
Learning Objectives
19.3
Core Idea in One Picture
19.4
Why Embodied and Enactive Theories Became Influential
19.5
Historical Development
19.6
Embodied and Enactive Approaches
19.7
Phenomenology and the Lived Body
19.8
Sensorimotor Engagement
19.9
Organism-Environment Coupling
19.10
Bodily Influences on Conscious Experience
19.11
Interoception and Selfhood
19.12
Anti-Representationism
19.13
Computational and Embodied Cognition
19.14
Extended Mind and Cognitive Scaffolding
19.15
Emotion and Embodied Consciousness
19.16
Social Embodiment
19.17
Embodied Consciousness and Artificial Intelligence
19.18
Dreaming and Altered States
19.19
Relation to Predictive Processing
19.20
Relation to Other Theories
19.20.1
Relation to Computationalism
19.20.2
Relation to Global Workspace Theory
19.20.3
Relation to Integrated Information Theory
19.20.4
Relation to Higher-Order Thought Theory
19.20.5
Relation to Panpsychism and T-Consciousness
19.21
Strengths of Embodied and Enactive Theories
19.22
Weaknesses and Criticisms
19.23
Relation to the Hard Problem
19.24
Open Questions
19.25
Evaluation
19.26
Chapter Summary
20
Anesthesia, Disorders of Consciousness, and Altered States
20.1
Chapter Overview
20.2
Learning Objectives
20.3
Core Idea in One Picture
20.4
Why Altered States Matter
20.5
Levels and Contents of Consciousness
20.6
The Spectrum of Conscious States
20.7
Anesthesia
20.8
Disorders of Consciousness
20.9
Covert Consciousness
20.10
Dreaming
20.11
Lucid Dreaming
20.12
Psychedelic States
20.13
Meditation and Contemplative States
20.14
Seizures and Dissociative States
20.15
Comparative Evaluation Across Theories
20.16
Ethical Implications
20.17
Relation to the Hard Problem
20.18
Strengths of Altered-State Research
20.19
Limitations and Challenges
20.20
Open Questions
20.21
Evaluation
20.22
Chapter Summary
21
Artificial Intelligence and Machine Consciousness
21.1
Chapter Overview
21.2
Learning Objectives
21.3
Core Idea in One Picture
21.4
Why AI Consciousness Matters
21.5
Intelligence and Consciousness
21.6
The Turing Test
21.7
The Chinese Room Argument
21.8
Functionalist and Computational Views
21.9
Biological and Embodied Views
21.10
Global Workspace Theory and AI
21.11
Integrated Information Theory and AI
21.12
Higher-Order Theories and AI
21.13
Attention Schema Theory and AI
21.14
Predictive Processing and AI
21.15
Illusionism and AI
21.16
Panpsychism and Consciousness-First Views
21.17
Simulation and Instantiation
21.18
Self-Modeling and Metacognition
21.19
Current AI Systems
21.20
Artificial General Intelligence
21.21
Ethical Implications
21.22
Relation to the Hard Problem
21.23
Strengths of AI Consciousness Research
21.24
Weaknesses and Challenges
21.25
Open Questions
21.26
Evaluation
21.27
Chapter Summary
22
Comparative Matrix of Theories
22.1
Chapter Overview
22.2
How to Read This Chapter
22.3
Learning Objectives
22.4
Core Idea in One Picture
22.5
Why Theories Differ
22.6
Major Families of Theories
22.6.1
Philosophical and Metaphysical Theories
22.6.2
Computational and Information-Processing Theories
22.6.3
Neuroscientific Theories
22.6.4
Informational and Formal Theories
22.6.5
Embodied and Enactive Theories
22.6.6
Speculative Physical Theories
22.7
Different Levels of Explanation
22.7.1
Metaphysical Level
22.7.2
Computational Level
22.7.3
Neural Level
22.7.4
Phenomenological Level
22.7.5
Ethical and Artificial-Systems Level
22.8
Comparative Matrix
22.9
Comparative Criteria
22.10
Theories and the Hard Problem
22.10.1
Directly Addressing the Hard Problem
22.10.2
Reinterpreting the Hard Problem
22.10.3
Dissolving the Hard Problem
22.10.4
Focusing on Mechanisms
22.11
Empirical and Philosophical Orientation
22.12
AI Consciousness Implications
22.13
Altered States and Disorders of Consciousness
22.14
Philosophical Costs and Tradeoffs
22.15
Toward Integration
22.16
Main Comparative Conclusion
22.17
Chapter Summary
23
Which Problems Are Actually Solved?
23.1
Chapter Overview
23.2
Guiding Questions
23.3
Core Idea in One Picture
23.4
Why Consciousness Problems Differ
23.5
Problems with Significant Progress
23.5.1
Neural Correlates of Consciousness
23.5.2
Wakefulness, Sleep, and Unconsciousness
23.5.3
Attention and Reportability
23.5.4
Perceptual Masking and Visual Awareness
23.5.5
Anesthesia and Consciousness Suppression
23.5.6
Disorders of Consciousness and Covert Awareness
23.5.7
Metacognition and Confidence
23.5.8
Global Information Availability
23.6
Problems Partially Explained
23.6.1
Unity of Consciousness
23.6.2
Self-Consciousness
23.6.3
Bodily Ownership and Embodiment
23.6.4
Dream Consciousness
23.6.5
Emotional Consciousness
23.6.6
Animal Consciousness
23.6.7
Infant Consciousness
23.6.8
Altered States
23.6.9
Artificial Consciousness
23.7
Problems Not Yet Solved
23.7.1
The Hard Problem
23.7.2
The Explanatory Gap
23.7.3
Qualitative Character
23.7.4
Measurement Without Report
23.7.5
Conscious and Unconscious Intelligence
23.7.6
Machine Consciousness Criteria
23.7.7
Metaphysical Status of Experience
23.8
Easy Problems and Hard Problems
23.9
Why Partial Explanations Matter
23.10
Theories and Explanatory Targets
23.11
Multiple Levels of Explanation
23.12
Why Consensus Remains Difficult
23.13
What Is Substantially Clarified?
23.14
What Remains Deeply Open?
23.15
Main Comparative Conclusion
23.16
Chapter Summary
24
Can Consciousness Be Scientifically Explained?
24.1
Chapter Overview
24.2
Guiding Questions
24.3
Core Idea in One Picture
24.4
Why Consciousness Is Scientifically Difficult
24.5
Multiple Levels of Explanation
24.6
Reduction and Explanation
24.7
First-Person and Third-Person Perspectives
24.8
What Would Count as Scientific Success?
24.9
The Role of Phenomenology
24.10
The Role of Neuroscience
24.11
The Role of Computation
24.12
The Role of Embodiment
24.13
The Hard Problem and Scientific Limits
24.14
Can Science Fully Explain Subjective Experience?
24.15
Consciousness-First Approaches and Scientific Explanation
24.16
Why Scientific Progress Still Matters
24.17
Integration Across Disciplines
24.18
Criteria for a Mature Theory of Consciousness
24.19
Main Comparative Conclusion
24.20
Chapter Summary
25
Future Directions in Consciousness Research
25.1
Chapter Overview
25.2
Guiding Questions
25.3
Core Idea in One Picture
25.4
Why Consciousness Research Is Changing
25.5
Interdisciplinary Integration
25.6
Improved Measures of Consciousness
25.7
Theory-Driven Experiments
25.8
Computational Modeling and Artificial Intelligence
25.9
Simulation and Experience
25.10
Neurotechnology and Brain Interfaces
25.11
Clinical Applications
25.12
Psychedelics and Altered States
25.13
Integration with Phenomenology
25.14
Cross-Species Consciousness Research
25.15
Consciousness-First Frameworks and Future Research
25.16
Ethical Questions
25.17
Responsible Communication
25.18
Limits and Humility
25.19
Main Comparative Conclusion
25.20
Chapter Summary
References
Published with bookdown
References