Dynamic Programming and Adaptive Processes — I

Mathematical Foundation

by Richard Ernest Bellman, Robert E. Kalaba

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A basis for the mathematical treatment of adaptive processes (a class of decision processes) through use of dynamic programming concepts. These processes arise in statistical studies, in the field of operations research, in stochastic control processes, and in problems of communication theory. Independently, theories governing the treatment of adaptive processes are essential for developing automata and machines that learn. Subsequent papers will consider specific applications.

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