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Engineering of Mind. An Introduction to the Science of Intelligent Systems. Edition No. 1. Wiley Series on Intelligent Systems

  • ID: 2182513
  • Book
  • September 2001
  • 432 Pages
  • John Wiley and Sons Ltd
Presenting a reference model architecture for the design of intelligent systems
Engineering of Mind presents the foundations for a computational theory of intelligence. It discusses the main streams of investigation that will eventually converge in a scientific theory of mind and proposes an avenue of research that might best lead to the development of truly intelligent systems.
This book presents a model of the brain as a hierarchy of massive parallel computational modules and data structures interconnected by information pathways. Using this as the basic model on which intelligent systems should be based, the authors propose a reference model architecture that accommodates concepts from artificial intelligence, control theory, image understanding, signal processing, and decision theory. Algorithms, procedures, and data embedded within this architecture would enable the analysis of situations, the formulation of plans, the choice of behaviors, and the computation of uncertainties. The computational power to implement the model can be achieved in practical systems in the foreseeable future through hierarchical and parallel distribution of computational tasks.
The authors' reference model architecture is expressed in terms of the Real-time Control System (RCS) that has been developed primarily at the National Institute of Standards and Technology. Suitable for engineers, computer scientists, researchers, and students, Engineering of Mind blends current theory and practice to achieve a coherent model for the design of intelligent systems.
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Emergence of a Theory.



Goal Seeking and Planning.

A Reference Model Architecture.

Behavior Generation.

World Modeling, Value Judgment, and Knowledge Representation.

Sensory Processing.

Engineering Unmanned Ground Vehicles.

Future Possibilities.


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James S. Albus Senior NIST Fellow, Intelligent Systems Division, Manufacturing Engineering Laboratory, National Institute of Standards and Technology.

Alexander M. Meystel Professor of Electrical and Computer Engineering, Drexel University, and Guest Researcher National Institute of Standards and Technology.
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