On Measuring Cognition and Cognitive Augmentation

@article{Fulbright2018OnMC,
  title={On Measuring Cognition and Cognitive Augmentation},
  author={Ron Fulbright},
  journal={ArXiv},
  year={2018},
  volume={abs/2211.06477},
  url={https://api.semanticscholar.org/CorpusID:51603737}
}
Several existing and emerging information metrics based on entropy, processing effort, quantum physics, emergent capacity, and human concept learning are reviewed and reviewed to discuss how these fail to answer the above questions and provide guidelines for future research.
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Background Citations
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Methods Citations
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5 Citations

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51 References

Cognitive Augmentation Metrics Using Representational Information Theory

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The relationship between capacity coefficient analysis of workload efficiency andDual task interference response time measures is explored and the use of capacity coefficients for visual multitasking, compared to dual task interference analysis, is illustrated.

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It is argued that agent concept acquisition, and not the communication of states of uncertainty, lie at the heart of generalized information, and that the best way of characterizing information is via the relative gain or loss in concept complexity that is experienced when a set of known entities changes.

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By looking at how neurons create a brain which understands information inputs and then operates on the information received, Tom Stonier is able to propose a theory of how the brain works and to explore how this theory may be used in the development of information science.

Beyond Information

The Origin and Early Evolution of Intelligence and the Preconditions for Intelligence, the Future of Intelligence, and the Super-Intelligence Imperative.

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The results strongly suggest that DeepQA is an effective and extensible architecture that may be used as a foundation for combining, deploying, evaluating and advancing a wide range of algorithmic techniques to rapidly advance the field of QA.

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Entropy is a measure of the uncertainty in a communication system and it is said that a measure of the uncertainty in a system is also a measure of its information content.

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