How to Build a Mind Toward Machines with Imagination 1st Edition by Igor Aleksander ISBN 0231120133 9780231120135

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ISBN 10: 0231120133 
ISBN 13: 9780231120135
Author: Igor Aleksander

Igor Aleksander heads a major British team that has applied engineering principles to the understanding of the human brain and has built several pioneering machines, culminating in MAGNUS, which he calls a machine with imagination. When he asks it (in words) to produce an image of a banana that is blue with red spots, the image appears on the screen in seconds.

The idea of such an apparently imaginative, even conscious machine seems heretical and its advocates are often accused of sensationalism, arrogance, or philosophical ignorance. Part of the problem, according to Aleksander, is that consciousness remains ill-defined.

Interweaving anecdotes from his own life and research with imagined dialogues between historical figures―including Descartes, Locke, Hume, Kant, Wittgenstein, Francis Crick, and Steven Pinker―Aleksander leads readers toward an understanding of consciousness. He shows not only how the latest work with artificial neural systems suggests that an artificial form of consciousness is possible but also that its design would clarify many of the puzzles surrounding the murky concept of consciousness itself. The book also looks at the presentation of “self” in robots, the learning of language, and the nature of emotion, will, instinct, and feelings.

How to Build a Mind Toward Machines with Imagination 1st Table of contents:

Part I: The Mind and the Machine

Chapter 1: The Human Mind as a Machine?

• 1.1 The Philosophical Debate: Mind vs. Brain
• 1.2 The Computational Analogy: Can a Computer Have a Mind?
• 1.3 Why Imagination is the Missing Link in AI

Chapter 2: The Limits of Logic-Based AI

• 2.1 Symbolic AI and the Problem of Common Sense
• 2.2 The Rise of Connectionism and Neural Networks
• 2.3 Why Simple Neural Networks Still Fall Short of a Mind

Part II: Building the Foundational Architecture

Chapter 3: Introducing the Conscious Neural Network

• 3.1 A Multi-Layered Architecture for Cognition
• 3.2 The Importance of State Space: Creating an Internal World
• 3.3 The Role of Neuronal Firing and Synaptic Plasticity

Chapter 4: The Five Axioms of Consciousness

• 4.1 Axiom of Perception: Building a Subjective World
• 4.2 Axiom of Memory: Learning from Experience
• 4.3 Axiom of Prediction: Anticipating the Future
• 4.4 Axiom of Emotion: The Value of Internal States
• 4.5 Axiom of Attention: Focusing the Mind’s Resources

Part III: The Building Blocks of a Machine Mind

Chapter 5: The Perceptual Subsystem

• 5.1 From Sensory Input to Internal Representation
• 5.2 Creating a First-Person Perspective
• 5.3 Learning to Perceive: Pattern Recognition and Classification

Chapter 6: The Memory and Learning Subsystem

• 6.1 Associative Memory: Connecting Concepts
• 6.2 Episodic Memory: Recalling Events
• 6.3 Reinforcement Learning and Value Systems

Chapter 7: The Motor and Action Subsystem

• 7.1 Translating Thoughts into Actions
• 7.2 The Role of Feedback and Self-Correction
• 7.3 Embodiment: Why a Body is Important for a Mind

Part IV: The Emergence of Imagination and Consciousness

Chapter 8: The Mechanism of Imagination

• 8.1 What is Imagination in a Neural Network?
• 8.2 Disconnecting Perception from Action: A Key Step
• 8.3 Running “What If” Scenarios and Mental Simulations
• 8.4 The Role of Dreams and Creativity

Chapter 9: The Feeling of Consciousness

• 9.1 From Information Processing to Subjective Experience
• 9.2 Creating a “Sense of Self” in the Network
• 9.3 The Hard Problem of Consciousness and a Proposed Solution

Part V: The Challenge and the Future

Chapter 10: The Turing Test and Beyond

• 10.1 Why the Turing Test is Insufficient
• 10.2 Proposing a New Test for Conscious Machines
• 10.3 The Ethical Imperative of Creating a Mind

Chapter 11: Societal Implications and Responsible AI

• 11.1 The Rights of Conscious Machines
• 11.2 The Impact on Human Identity and Society
• 11.3 A Call for a New Era of AI Research

Chapter 12: A Roadmap for Building a Mind

• 12.1 Practical Steps and Necessary Technologies
• 12.2 The Next Decade of Conscious AI Research
• 12.3 Final Thoughts on the Future of Mind and Machine

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Tags: Igor Aleksander, Mind, Toward