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9780122205354 0122205359 Over the last decade, there has been considerable progress in investigating methods of symbolic mathematics in many application areas of computer science and artifical intelligence, such as engineering design, solid and geometric modelling, robotics and motion planning, and machine vision. This research has produced few applications within engineering and robotics because of the combinatorial cost of symbolic techniques. Therefore, it is essential to investigate approaches for systematic integration of symbolic with numerical techniques which are efficient for handling the huge amount of data that arises in practical applications, while at the same time maintain a logically consistent solution framework. Symbolic and Numerical Computation for Artificial Intelligence gives an overview of applications in machine vision, robotics and engineering design where there is a need for integrating symbolic and numerical methods. It also illustrates the case for an integrated symbolic and numerical environment to support the needs of these applications. This book will be essential reading for researchers in applied mathematics, symbolic and algebraic manipulation, and applied artificial intell, The papers in this volume are based on talks given at a workshop on the Integration of Numerical and Symbolic Computing Methods, held in Saratoga Springs, New York, in July 1990. The Workshop was Sponsored by the National Science Foundation (NSF) , the Air Force Office of Sponsored Research (AFOSR), General Electric Research and Development, Schenectady, and the State University of New York at Albany. Over forty researchers from industry, academia and government participated in the workshop.
9780122205354 0122205359 Over the last decade, there has been considerable progress in investigating methods of symbolic mathematics in many application areas of computer science and artifical intelligence, such as engineering design, solid and geometric modelling, robotics and motion planning, and machine vision. This research has produced few applications within engineering and robotics because of the combinatorial cost of symbolic techniques. Therefore, it is essential to investigate approaches for systematic integration of symbolic with numerical techniques which are efficient for handling the huge amount of data that arises in practical applications, while at the same time maintain a logically consistent solution framework. Symbolic and Numerical Computation for Artificial Intelligence gives an overview of applications in machine vision, robotics and engineering design where there is a need for integrating symbolic and numerical methods. It also illustrates the case for an integrated symbolic and numerical environment to support the needs of these applications. This book will be essential reading for researchers in applied mathematics, symbolic and algebraic manipulation, and applied artificial intell, The papers in this volume are based on talks given at a workshop on the Integration of Numerical and Symbolic Computing Methods, held in Saratoga Springs, New York, in July 1990. The Workshop was Sponsored by the National Science Foundation (NSF) , the Air Force Office of Sponsored Research (AFOSR), General Electric Research and Development, Schenectady, and the State University of New York at Albany. Over forty researchers from industry, academia and government participated in the workshop.