Robot Brains (eBook)

Circuits and Systems for Conscious Machines

Pentti O. Haikonen (Autor)

eBook Download: PDF

2007 | 1. Auflage
224 Seiten
John Wiley & Sons (Verlag)
978-0-470-51786-4 (ISBN)

Infos

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.

Autor

Dr Pentti Haikonen is an experienced contributor to the field of machine consciousness, conducting research on the topic for over 10 years. He is currently a Principal Scientist in cognitive technology at the Nokia Research Center, Helsinki, and has written the book The Cognitive Approach to Conscious Machines (Imprint Academic, 2003) and the book chapter "Artificial Minds and Conscious Machines" in Visions of Mind: Architectures for Cognition and Affect (Idea Group Inc., 2005). Haikonen is known for putting forward the theory that "the brain is definitely not a computer. Thinking is not an execution of programmed strings of commands. The brain is not a numerical calculator either. We do not think by numbers." Rather than trying to achieve mind and consciousness by identifying and implementing their underlying computational rules, Haikonen proposes "a special cognitive architecture to reproduce the processes of perception, inner imagery, inner speech, pain, pleasure, emotions, and the cognitive functions behind these." He has given lectures on machine cognition at the Helsinki University of Technology and has several patents and patent applications on cognitive and neural systems.

Inhalt

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.

Produkt-Details

• Erscheint lt. Verlag: 27.9.2007
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Neural networks • Neuronale Netze • Roboter • Robotics • Robotik
• ISBN-10: 0-470-51786-7 / 0470517867
• ISBN-13: 978-0-470-51786-4 / 9780470517864