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Cognitive Algorithms and Systems of Error Monitoring, Conflict Resolution and Decision Making

  • Pedro U. Lima
Chapter
Part of the Springer Series in Cognitive and Neural Systems book series (SSCNS)

Abstract

There are currently several approaches to decision making in complex systems, particularly in robotics. In most cases, the decision-making process resembles the well-known control or sense–think–act loop: the process output or state is sensed, its deviation (error) from the desired value is continuously monitored and, based on some appropriate algorithm, a control action is picked from the available action set to be applied to the process, so that the loop is closed and the decision-making process moves to its next iteration.

Keywords

Markov Decision Process Discrete Event System Plan Representation Input Place Primitive Action 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The simulations whose results are presented in Sect. 15.3 were carried out by the PhD student Mr. Hugo Costelha. While some parts of his PhD thesis work have been published before and are cited throughout the chapter, most of the results in that section were still unpublished at the time of writing this text.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Institute for Systems and Robotics, Instituto Superior TécnicoLisboaPortugal

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