Summary and Info
With the increasing availability of parallel machines and the raising of interest in large scale and real world applications, research on parallel processing for Artificial Intelligence (Al) is gaining greater importance in the computer science environment. Many applications have been implemented and delivered but the field is still considered to be in its infancy. This book assembles diverse aspects of research in the area, providing an overview of the current state of technology. It also aims to promote further growth across the discipline. Contributions have been grouped according to their subject: architectures (3 papers), languages (4 papers), general algorithms (6 papers), and applications (5 papers). The internationally sourced papers range from purely theoretical work, simulation studies, algorithm and architecture proposals, to implemented systems and their experimental evaluation. Since the book is a second volume in the parallel processing, for Al series, it provides a continued documentation of the research and advances made in the field. The editors hope that it will inspire readers to investigate the possibilities for enhancing Al systems by parallel processing and to make new discoveries of their own!
More About the Author
Hiroaki Kitano (北野 宏明, born 1961 in Tokyo) is a Japanese scientist. He is the: head of the Systems Biology Institute (SBI); President and CEO of Sony Computer Science Laboratories; a Group Director of the Laboratory for Disease Systems Modeling at and RIKEN Center for Integrative Medical Sciences; and a professor at Okinawa Institute of Science and Technology (OIST).
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