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• Existence, origin and other weird questions
• The origin of the universe
• The emergence of life
• From cells to brains
• Sensing, perception and attention
• Memory and learning
• Thinking, intelligence and inner speech
• Love and other emotions
• The beautiful, unexpected and funny
• Consciousness
• Altered states of consciousness
• Artificial intelligence
• Machine consciousness
• The rise of the technological world
• Weird science
• The bare new world
• Time, eternity and infinity
• Seeking for deliverance

What are we humans, and how did we become the high technology species? What would be our legacy? What is the ultimate meaning of life? Many of these questions are still waiting for full and complete answers and explanations.For thousands of years humans have pondered the fundamental questions about origin, existence and reality, and also about mind, consciousness, communication and social issues. In this day and age when advancing technology is quickly transforming our societies and our ways of life, these questions are more important than ever, not only in the theoretical sense, but also in practice. We have to understand what has happened, and what is happening.For the first time in the history, technology has given us powerful means to investigate the phenomena behind the ultimate questions. However, technology is only a tool; the thinking human is still required for the understanding of the world.This book explores these curious topics, beginning from the origin of the Universe to the emergence of life; the evolution from cells to brains; the development of cognitive ability from perception and attention to reasoning and thinking; how we interact with other humans by means of love and emotion; to the creation of thinking machines by weird technology.THIS BOOK presents novel views on these questions and provides explanations and possible answers in an easy-to-read style.
(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)

• Preface.
• 1. Introduction.
• 2. Information, meaning and representation.
• 3. Associative neural networks.
• 4. Circuit assemblies.
• 5. Machine perception.
• 6. Motor actions for robots.
• 7. Machine cognition.
• 8. Machine emotions.
• 9. Natural language in robot brains.
• 10. A cognitive architecture for robot brains.
• 11. Machine consciousness. Epilogue. References. Index.
• (source: Nielsen Book Data)

Haikonen envisions autonomous robots that perceive and understand the world directly, acting in it in a natural human-like way without the need of programs and numerical representation of information. By developing higher-level cognitive functions through the power of artificial associative neuron architectures, the author approaches the issues of machine consciousness. Robot Brains expertly outlines a complete system approach to cognitive machines, offering practical design guidelines for the creation of non-numeric autonomous creative machines. It details topics such as component parts and realization principles, so that different pieces may be implemented in hardware or software. Real-world examples for designers and researchers are provided, including circuit and systems examples that few books on this topic give. In novel technical and practical detail, this book also considers: * the limitations and remedies of traditional neural associators in creating true machine cognition; * basic circuit assemblies cognitive neural architectures; * how motors can be interfaced with the associative neural system in order for fluent motion to be achieved without numeric computations; * memorization, imagination, planning and reasoning in the machine; * the concept of machine emotions for motivation and value systems; * an approach towards the use and understanding of natural language in robots. The methods presented in this book have important implications for computer vision, signal processing, speech recognition and other information technology fields. Systematic and thoroughly logical, it will appeal to practising engineers involved in the development and design of robots and cognitive machines, also researchers in Artificial Intelligence. Postgraduate students in computational neuroscience and robotics, and neuromorphic engineers will find it an exciting source of information.
(source: Nielsen Book Data)