T.T. Shannon

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  • T.T. Shannon
  • IEEE Annual Meeting of the Fuzzy Information…
  • 2004
In this paper we demonstrate the use of Linguistic Adaptive Critics (LACs) for the design of fuzzy control systems. This technique is related to Adaptive Critic based Approximate Dynamic Programming as developed and applied in the neurocontrol context. We have previously shown how such techniques can be conveniently generalized to fuzzy controllers or(More)
  • T.T. Shannon
  • NAFIPS 2005 - 2005 Annual Meeting of the North…
  • 2005
This paper proposes a method for blind source separation (BSS) of observed variables characterized by possibility distributions. Techniques for BSS with probabilistic variables have been developed over the last decade under the general heading of independent component analysis (ICA). This paper proposes an analogous approach for linear mixtures of real(More)
Adaptive critic methods, which approximate dynamic programming, have been used successfully for solving optimal control problems. The adaptive critic learning algorithm optimizes a secondary utility function that is the sum of the present and all future primary utility. The primary utility function measures the instantaneous cost incurred for the last(More)
Adaptive critic methods for reinforcement learning are known to provide consistent solutions to optimal control problems, and are also considered plausible models for cognitive learning processes. This work discusses binary reinforcement in the context of three adaptive critic methods: heuristic dynamic programming (HDP), dual heuristic programming (DHP),(More)
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