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Cognitive control theory with an application

Cognitive control theory with an application

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Cognition is a distinctive characteristic of the human brain, which distinguishes itself from all other mammalian species. It is therefore not surprising that when we speak of cognitive control, we naturally think of cognitive control in the brain [1]. Most importantly, cognitive control resides in the executive part of the brain, reciprocally coupled to its perceptual part via the working memory [2]. The net result of this threefold combination is the perception-action cycle that embodies the environment, thereby constituting a closed-loop feedback system of a global kind.

Chapter Contents:

  • 6.1 Introduction
  • 6.2 The two-state model
  • 6.3 Formalism of the learning process in cognitive control
  • 6.4 Cognitive-control-learning algorithm viewed as a special case of Bellman's dynamic programming
  • 6.5 Optimality vs. convergence-rate in online implementation
  • 6.6 Formalism of the planning process in cognitive control
  • 6.6.1 Predicting the entropic reward in a Gaussian environment
  • 6.7 Structural composition of the cognitive controller
  • 6.8 Computational experiment: cognitive-tracking radar
  • 6.8.1 Scenario 1: the impact of planning on cognitive control
  • 6.8.2 Scenario 2: comparison of learning curves of three different cognitive controllers
  • 6.9 Conclusion
  • 6.9.1 Cognitive processing of information
  • 6.9.1.1 The learning process in cognitive control
  • 6.9.1.2 The planning process in cognitive control
  • 6.9.2 Linearity, convergence, and optimality
  • 6.9.3 Engineering application
  • Appendix A
  • References

Inspec keywords: cognitive radio

Other keywords: human brain; cognitive control theory; closed-loop feedback system; cognitive control; mammalian species; perception-action cycle

Subjects: Radio links and equipment

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