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• Intro
• Contents
• Preface
• The Conscious Machine
• 1. Introduction
• 2. Human Cognitive Perceptual Process
• 3. The five Skandhas as the Model for Human Cognition
• 4. Conscious as We Are
• 4.1. The Category of Machines that Become Conscious
• 4.2. A Constructive Explanation of Consciousness and its Implementation
• 4.3. On Artificial Intelligence, Consciousness and Robots
• 4.4. Universal Cognitive Intelligence
• 4.5. Intelligence and Consciousness in Natural and Artificial Systems
• 4.6. Attention and Consciousness in Intentional Action

• 4.7. Artificial Conscious Intelligence
• 4.8. Will Conscious Digital Creatures Roam the Metaverse?
• 4.9. On the Ethics of Constructing Conscious AI
• 5. Conclusion
• References
• The Category of Machines that Become Conscious: An Example of Memory Modelling
• 1. Introduction: Becoming Conscious Defines a Specific Computational Category
• 2. The Algorithmic Artificial Intelligence Category
• 3. The Conscious Life Category
• 4. Some history of work in the Conscious Machines Category: Conscious States in Neural State Machines

• 5. The Importance of Growing State Structures: Machines Becoming Conscious
• 6. The Conscious Machine Category and State Machines
• 7. A Neural State Machine Memory Model in the Conscious Machine Category
• 7.1. Memory of single perceptual events
• 7.2. Memory of sequences of perceptual events
• 7.3. Comments on the Memory Model experiments within the CM category
• 8. A Look at Work in the Conscious Machine Category
• 9. Conclusion and a Glance at the Future
• Appendix A: Neural State Machines as Workhorses for the Conscious Machine Category
• References

• A Constructive Explanation of Consciousness and its Implementation
• 1. Theoretical Position on Descriptions
• 1.1. Description: subjective vs. objective
• 1.2. Relations among descriptions
• 1.3. Self-description
• 2. Consciousness in OpenNARS
• 2.1. Objective and approach
• 2.2. System architecture and working process
• 2.3. Self-awareness and self-control
• 3. Comparisons and Implications
• 3.1. In philosophy
• 3.2. In psychology
• 3.3. In artificial intelligence
• 4. Conclusion
• Acknowledgments
• References
• On Artificial Intelligence, Consciousness and Robots

• Ch. 1. Preamble. 1.1. Reading this book: The quick way
• ch. 2. Introduction. 2.1. Description(what) vs. explanation (why)
• ch. 3. Consciousness. 3.1. The modern scientific perspective on consciousness. 3.2. Objectivity and the first-person perspective (1PP). 3.3. The science of consciousness. 3.4. Other consciousness aspects. 3.5. Summary
• ch. 4. The route to normal science. 4.1. An aside: The philosophy => science transition in the science of consciousness. 4.2. The taboo. 4.3. Summary
• ch. 5. 'Normal' science. 5.1. Normal science as paradigmatic science. 5.2. Puzzle solving as normal science. 5.3. Paradigms and scientific behaviour as tacit knowledge. 5.4. The 'law of scientific behaviour'
• the first steps. 5.5. Summary
• ch. 6. The great blockage. 6.1. Scientific behaviour and world-view gestalt. 6.2. Manifestations of blockage #1
• science. 6.3. Manifestations of blockage #2
• engineering. 6.4. Summary
• ch. 7. Cultural learning theory for scientists. 7.1. Introduction. 7.2. The existing intersubjectivity-based learning framework. 7.3. Attributes of a more general model. 7.4. Definitions: Implicit, explicit and reportable models. 7.5. A more generalised learning framework. 7.6. The upgraded model: Discussion. 7.7. Science, scientific behaviour, scientific learning & self-governance. 7.8. Summary
• ch. 8. The 'law of scientific behaviour'. 8.1. Scientific behaviour and the scientific paradigm. 8.2. Down to business: tA. 8.3. Causality, apparent causality and tn. 8.4 Statement dynamics. 8.5. Statements and objectivity. 8.6. Statements and 'law', 'theory' and the like. 8.7. Fake science. 8.8. Robot science. 8.9. Alien science. 8.10. Zombie science. 8.11. The post-zombie science apocalypse. 8.12. Letting it settle in. 8.13. Summary
• ch. 9. The biology of belief: Statement formation. 9.1. Dynamical systems. 9.2. Non-stationary systems. 9.3. Pendulum 'statements' in phase space, and its generalisation. 9.4. Nonsense statements. 9.5. More on the dynamics of changes in dynamics. 9.6. Associative memory and the state trajectory. 9.7. Induction
• problem solved (again). 9.8. The mathematics of statement dynamics as belief dynamics. 9.9. Lets stretch things a little further. 9.10. P-consciousness within the state trajectory. 9.11. Tokens, language and meaning. 9.12. Building it. 9.13. Homework. 9.14. Summary
• ch. 10. Hierarchy, emergence and causality. 10.1. Aside: Causality (causation) vs. critical dependency. 10.2. The second aspect: A fundamental challenge. 10.3. Causality, the 'ghost in the machine'. 10.4. Dynamic hierarchies. 10.5. Dissapative and lossless dynamic hierarchies. 10.6. Hierarchy change dynamics (dynamical agency). 10.7. Emergence: Redux. 10.8. Final preparation
• establishing nomenclature. 10.9. Cognitive agency. 10.10. Summary
• ch. 11. Dual aspect science. 11.1. Motivating a new science framework. 11.2. What is the fundamental character of the contents of set T'? 11.3. What is the behaviour tS that populates set T'? 11.4. Empirical implementation. 11.5. The DAS framework: Overview. 11.6. Practical exploration of set T': The natural cellular automaton. 11.7. P-consciousness and the CA. 11.8. More on the structure/appearance divide. 11.9. The natural CA. 11.10. Formal systems, the natural CA and DAS. 11.11. The uniqueness of set T'. 11.12. Alien structure-aspect science. 11.13. Qualification and implementation of DAS. 11.14. Physical and material. 11.15. DAS and the ultimate questions. 11.16. We're already doing it: The T[symbol] structure-aspect in existing literature. 11.17. Theories of everything (TOE). 11.18. Miscellaneous issues. 11.19. Summary
• ch. 12. Scientifically testing for consciousness. 12.1. The paradigmatic doubt. 12.2. Existing tests. 12.3. The 'P-consciousness Test' (PCT). 12.4. Volition and the PCT. 12.5. Embodiment and physical implementation. 12.6. PCT overall strategy. 12.7. 'Radical novelty' and its forms. 12.8. PCT overall execution logistics-single trial. 12.9. S([symbol]) passes the PCT. What next?
• ch. 13. The Kuhnian Take: Wrapping up. 13.1. Anomaly and the signs of science revolution. 13.2. The DAS aftermath: A preemptive postscript. 13.3. Summary
• ch. 14. Machine consciousness and DAS. 14.1. Schism making 101. 14.2. The tacit schism in neuromorphic engineering. 14.3. Empirical science, theoretical science, replication, emulation and essential physics. 14.4. Essential physics [symbol] consciousness entanglement. 14.5. Emulation-based AGI. 14.6. The blockage. 14.7. The various blind persons and the elephant in the room. 14.8. Real replication (it's all electromagnetism). 14.9. Signing off.

This book discusses two main cultural problems behind the failure of machine consciousness and artificial general intelligence (AGI) projects over many decades. The first problem recognizes that building a conscious AGI means building an artificial scientist. The book identifies the responsible pitfalls in mainstream scientific behavior and eliminates them by proposing a new operational framework for scientists called "Dual Aspect Science". The second problem arises because scholars involved in machine consciousness and AGI essentially aim to replicate brains with computers. They are demonstra.

• Information: The New Kid on the Block
• Shannon (1916-2001)
• Little Boxes that Reason and Learn
• Networks with Internal States
• Information Integration: The Measure of Consciousness
• Automata and Information Integration
• The Philosophy of Information
• The Structure of the Informational Mind
• Language and Information
• The Secret State: Freud and Automata
• Detractors and Open Minds
• Conclusion: Aristotle's Laptop.
• (source: Nielsen Book Data)

Aristotle's convincing philosophy is likely to have shaped (even indirectly) many of our current beliefs, prejudices and attitudes to life. This includes the way in which our mind (that is, our capacity to have private thoughts) appears to elude a scientific description. This book is about a scientific ingredient that was not available to Aristotle: the science of information. Would the course of the philosophy of the mind have been different had Aristotle pronounced that the matter of mind was information? This "mind is information" assertion is often heard in contemporary debates, and this book explores the verities and falsehoods of this proposition.
(source: Nielsen Book Data)

• Information: The New Kid on the Block
• Shannon (1916-2001)
• Little Boxes that Reason and Learn
• Networks with Internal States
• Information Integration: The Measure of Consciousness
• Automata and Information Integration
• The Philosophy of Information
• The Structure of the Informational Mind
• Language and Information
• The Secret State: Freud and Automata
• Detractors and Open Minds
• Conclusion: Aristotle's Laptop.
• (source: Nielsen Book Data)

Aristotle's convincing philosophy is likely to have shaped (even indirectly) many of our current beliefs, prejudices and attitudes to life. This includes the way in which our mind (that is, our capacity to have private thoughts) appears to elude a scientific description. This book is about a scientific ingredient that was not available to Aristotle: the science of information. Would the course of the philosophy of the mind have been different had Aristotle pronounced that the matter of mind was information? This "mind is information" assertion is often heard in contemporary debates, and this book explores the verities and falsehoods of this proposition.
(source: Nielsen Book Data)

• The Real Problem of Consciousness
• Consciousness and Subjective Experience
• Perception and Qualia
• From Perception to Consciousness
• Emotions and Consciousness
• Inner Speech and Consciousness
• Qualia and Machine Consciousness
• Testing Consciousness
• Artificial Conscious Cognition
• Associative Information Processing
• Neural Realization of Associative Processing
• Designing a Cognitive Perception System
• Examples of Perception/Response Feedback Loops
• The Transition to Symbolic Processing
• Information Integration with Multiple Modules
• Emotional Significance of Percepts
• The Outline of the Haikonen Cognitive Architecture (HCA)
• Mind Reading Applications
• The Comparison of Some Cognitive Architectures
• Example: An Experimental Robot with the HCA
• Concluding Notes
• Consciousness Explained.
• (source: Nielsen Book Data)

Robots are becoming more human, but could they also become sentient and have human-like consciousness?What is consciousness, exactly?It is a fact that our thoughts and consciousness are based on the neural activity of the brain. It is also a fact that we do not perceive our brain activity as it really is - patterns of neural firings. Instead, we perceive our sensations and thoughts apparently as they are. What kind of condition would transform the neural activity into this kind of internal appearance? This is the basic problem of consciousness.The author proposes an explanation that also provides preconditions for true conscious cognition - the requirement of a direct perceptive system with inherent sub-symbolic and symbolic information processing. Associative neural information processing with distributed signal representations is introduced as a method that satisfies these requirements.Conscious robot cognition also calls for information integration and sensorimotor integration. This requirement is satisfied by the Haikonen Cognitive Architecture (HCA).This book demystifies both the enigmatic philosophical issues of consciousness and the practical engineering issues of conscious robots by presenting them in an easy-to-understand manner for the benefit of students, researchers, philosophers and engineers in the field.
(source: Nielsen Book Data)

• The Real Problem of Consciousness
• Consciousness and Subjective Experience
• Perception and Qualia
• From Perception to Consciousness
• Emotions and Consciousness
• Inner Speech and Consciousness
• Qualia and Machine Consciousness
• Testing Consciousness
• Artificial Conscious Cognition
• Associative Information Processing
• Neural Realization of Associative Processing
• Designing a Cognitive Perception System
• Examples of Perception/Response Feedback Loops
• The Transition to Symbolic Processing
• Information Integration with Multiple Modules
• Emotional Significance of Percepts
• The Outline of the Haikonen Cognitive Architecture (HCA)
• Mind Reading Applications
• The Comparison of Some Cognitive Architectures
• Example: An Experimental Robot with the HCA
• Concluding Notes
• Consciousness Explained.
• (source: Nielsen Book Data)

Robots are becoming more human, but could they also become sentient and have human-like consciousness?What is consciousness, exactly?It is a fact that our thoughts and consciousness are based on the neural activity of the brain. It is also a fact that we do not perceive our brain activity as it really is - patterns of neural firings. Instead, we perceive our sensations and thoughts apparently as they are. What kind of condition would transform the neural activity into this kind of internal appearance? This is the basic problem of consciousness.The author proposes an explanation that also provides preconditions for true conscious cognition - the requirement of a direct perceptive system with inherent sub-symbolic and symbolic information processing. Associative neural information processing with distributed signal representations is introduced as a method that satisfies these requirements.Conscious robot cognition also calls for information integration and sensorimotor integration. This requirement is satisfied by the Haikonen Cognitive Architecture (HCA).This book demystifies both the enigmatic philosophical issues of consciousness and the practical engineering issues of conscious robots by presenting them in an easy-to-understand manner for the benefit of students, researchers, philosophers and engineers in the field.
(source: Nielsen Book Data)