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![]( "Buchcover ISBN 9780470517864")
Haikonen envisions autonomous robots that perceive and understandthe world directly, acting in it in a natural human-like waywithout the need of programs and numerical representation ofinformation. By developing higher-level cognitive functions throughthe power of artificial associative neuron architectures, theauthor approaches the issues of machine consciousness.
Robot Brains expertly outlines a complete system approachto cognitive machines, offering practical design guidelines for thecreation of non-numeric autonomous creative machines. It detailstopics such as component parts and realization principles, so thatdifferent 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 topicgive.
In novel technical and practical detail, this book alsoconsiders:
* the limitations and remedies of traditional neural associatorsin creating true machine cognition;
* basic circuit assemblies cognitive neural architectures;
* how motors can be interfaced with the associative neural systemin order for fluent motion to be achieved without numericcomputations;
* memorization, imagination, planning and reasoning in themachine;
* the concept of machine emotions for motivation and valuesystems;
* an approach towards the use and understanding of naturallanguage in robots.
The methods presented in this book have important implicationsfor computer vision, signal processing, speech recognition andother information technology fields. Systematic and thoroughlylogical, it will appeal to practising engineers involved in thedevelopment and design of robots and cognitive machines, alsoresearchers in Artificial Intelligence. Postgraduate students incomputational neuroscience and robotics, and neuromorphic engineerswill find it an exciting source of information.
Robot Brains expertly outlines a complete system approachto cognitive machines, offering practical design guidelines for thecreation of non-numeric autonomous creative machines. It detailstopics such as component parts and realization principles, so thatdifferent 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 topicgive.
In novel technical and practical detail, this book alsoconsiders:
* the limitations and remedies of traditional neural associatorsin creating true machine cognition;
* basic circuit assemblies cognitive neural architectures;
* how motors can be interfaced with the associative neural systemin order for fluent motion to be achieved without numericcomputations;
* memorization, imagination, planning and reasoning in themachine;
* the concept of machine emotions for motivation and valuesystems;
* an approach towards the use and understanding of naturallanguage in robots.
The methods presented in this book have important implicationsfor computer vision, signal processing, speech recognition andother information technology fields. Systematic and thoroughlylogical, it will appeal to practising engineers involved in thedevelopment and design of robots and cognitive machines, alsoresearchers in Artificial Intelligence. Postgraduate students incomputational neuroscience and robotics, and neuromorphic engineerswill find it an exciting source of information.
