Computational cognition
From Wikipedia, the free encyclopedia
Computational cognition is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments, seeking to learn the basis behind the processing of information.
[edit] Propositions
To make cognition computable, the following tasks should be addressed first:
- How to define the states and the metric systems of cognition.
- How to measure a cognition.
In 2004, Tao Yang suggested a way to put cognition into a framework that is dual to the universe. He called such a framework the cognition, and called the Universe-Cognition pair the Unicogse.
[edit] Theory of the Unicogse
The theory of the Unicogse provides a way to assign "measurable" means to the foundations of cognition: information and truth.
- Information plays the same role in the Cognition as matter plays in the universe.
- Truth plays the same role in the Cognition as energy plays in the universe.
By doing so, we expect to measure truth and information in the cognition just like we do for energy and matter in the universe. This is a way to make cognition "measurable".
[edit] External links and references
- There is one journal dedicated to the theory of computational cognition, the International Journal of Computational Cognition, which was established in 2003.
- International Journal of Computational Cognition
- MIT Computational Cognitive Science Group
