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Development of a Framework for Measuring Cognitive Process Performance

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Biologically Inspired Cognitive Architectures 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 196))

Abstract

Cognitive architectures are concerned with the design of intelligent systems that should be able to perform cognitive tasks. The current paper introduces a theoretical approach to develop a general measurement framework for intelligent systems performance. The framework is based on concepts from communication theory and assumes the activity of an intelligent system to be the result of the communication between the system and its environment. Using the different entropies involved in this communication, the framework defines the system communication state and it is argued that this state captures the technical performance of the system.

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References

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Author information

Authors and Affiliations

  1. WHA Research Inc., Alexandria, VA, USA

    Wael Hafez

Authors
  1. Wael Hafez
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Corresponding author

Correspondence to Wael Hafez .

Editor information

Editors and Affiliations

  1. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Antonio Chella

  2. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Roberto Pirrone

  3. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Rosario Sorbello

  4. , Department of Psychology, Reykjavik University, Menntavegur 1, Reykjavik, 101, Iceland

    Kamilla Rún Jóhannsdóttir

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Cite this paper

Hafez, W. (2013). Development of a Framework for Measuring Cognitive Process Performance. In: Chella, A., Pirrone, R., Sorbello, R., Jóhannsdóttir, K. (eds) Biologically Inspired Cognitive Architectures 2012. Advances in Intelligent Systems and Computing, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34274-5_29

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  • DOI: https://doi.org/10.1007/978-3-642-34274-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34273-8

  • Online ISBN: 978-3-642-34274-5

  • eBook Packages: EngineeringEngineering (R0)

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