The Cognitive Approach to Conscious Machines
2nd Edition
Published on 30. November 2015
281 pages
978-1-84540-803-9 (ISBN)
Description
Could a machine have an immaterial mind? The author argues that true conscious machines can be built, but rejects artificial intelligence and classical neural networks in favour of the emulation of the cognitive processes of the brain-the flow of inner speech, inner imagery and emotions. This results in a non-numeric meaning-processing machine with distributed information representation and system reactions. It is argued that this machine would be conscious; it would be aware of its own existence and its mental content and perceive this as immaterial. Novel views on consciousness and the mind-body problem are presented. This book is a must for anyone interested in consciousness research and the latest ideas in the forthcoming technology of mind.
More details
Edition
2nd ed.
Language
English
Place of publication
Luton, Bedfordshire
United Kingdom
Product notice
Windows
File size
2,86 MB
ISBN-13
978-1-84540-803-9 (9781845408039)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Pentti O. Haikonen
Cognitive Approach to Conscious Machines
Book
03/2003
Imprint Academic
€28.50
Shipment within 3-4 weeks
Person
Content
- Cover
- Contents
- Front Matter
- Title Page
- Publisher Information
- Preface
- The Cognitive Approach to Conscious Machines
- Introduction
- Thinking and Computation
- Good Old-fashioned A rtificial Intelligence
- Thinking Machines, 40s Style
- Symbols and Computers
- Computing by Look-up Tables
- Finite State Machines
- The Turing Machine
- Von Neumann Architecture
- The Church-Turing Thesis
- The Great Imitation Game
- Artificial Minds via Simulation?
- Arguments against AI
- Artificial Neural Networks to the Rescue
- The Biological Neuron
- The Artificial Neuron
- The Exclusive-OR Problem
- Neural State Machines, Recurrent Neural Networks
- Learning in Artificial Neural Networks
- Arguments against Neural Networks
- Cognition and Consciousness
- Cognition and Perception
- The Real Processes of the Mind
- From Sensation to Perception
- Sensory Match, Mismatch and Novelty Detection
- Visual Perception
- Auditory Perception
- Touch Perception
- Multisensory Integration
- Attention in Perception and Thinking
- Perception of Self as a Vantage Point
- Learning, Reasoning and Intelligence
- Learning, Memorization and Memory Making
- Associative Learning
- Correlative Learning
- Learning by Trial and Error
- Learning by Imitation
- Learning by Verbal Description
- Memory and Memories
- Perception of Time
- Deduction and Reasoning
- Intelligence
- Creativity and Imagination
- Emotions and Cognition
- What are Emotions
- Pain and Pleasure
- The Beautiful and Ugly, Perceptual Pleasure
- The Good, the Bad and the Rotten
- Theories of Emotion
- The System Reaction Theory of Emotions
- Emotional Significance
- Motivation, Needs, Drives, Goals
- Humor and Laughter
- Music Perception and Emotions
- Language and Thought
- What is Language?
- Language, Thought and Inner Speech
- Grammar and Syntax
- The Multimodal Model of Language
- Words and Their Meanings
- Linguistic Understanding
- Language and Communication
- Consciousness
- The Mystery of Consciousness
- The Easy and Hard Problems of Consciousness
- Intentionality and Qualia
- Consciousness, Perception, Attention and Memory
- Self-consciousness and Self-image
- The Theory of Mind or I Know What You Know and Feel
- Consciousness and Free Will
- Models for Consciousness
- The Hammer Test for Consciousness Theories
- Arguments against Machine Consciousness
- Technology of the Mind
- Machine Models for Cognition and Consciousness
- Introduction
- Representation of Information
- Representation of Information by Distributed Signals
- Grandmother Signals?
- Classification by Distributed Signal Representations
- Object Recognition and Alias Representations
- Representation of Significance
- Artifical Associative Neurons and Neuron Groups
- The Associative Neuron
- Neuron Groups and Memory Function
- Models for Machine Perception Processes
- Machine Perception
- Sensory Modality Perception/Response Modules
- Cross-Connected Perception/Response Modules
- A Cognitive Machine Architecture
- Integration of Processes and Functions
- Visual Subsystem
- Auditory Subsystem
- Visually Assisted Auditory Perception
- Models for Motor Functions
- Motor Acts and Sequences
- Controlling Motor Acts
- Mirror Neurons and Imitation
- Machine Emotions
- System Reactions
- Emotions in the Machine
- Machine Volition and Motivation
- Language and Inner Speech
- The Implementation of the Multimodal Model of Language
- Speech Acquisition
- Learning to Read
- Vertical Grounding of Word Meaning
- Vertically Grounded Sentences
- Horizontal Grounding of Word Meaning
- Combined Horizontal and Vertical Grounding
- On Syntax
- Inner Speech and Machine Thoughts
- Inner Imagery and Thinking
- Deduction and Reasoning
- Intelligence and Creativity
- Mental Arithmetic - An Exercise in Inner Imagery
- Machine Consciousness
- Ghost in the Machine
- Conscious Machine Awareness
- Self-conscious Machines
- The Ultimate Test for Thinking Machines
- Consciousness, Technology and Final Questions
- Towards the Technology of Mind
- Skillful Robots
- Minds on Silicon
- Consciousness and Self or Raise the Dead?
- Can We Get into the Machine?
- The Final Question: Being Inside
- Back Matter
- References
- Also Available
