Pattern Recognition
Pattern Recognition
classification : informal – fallacy of distraction
A computational algorithm used to classify raw data (sometimes appropriate action choice is included in the definition).
Foundations
The term is from machine learning, but has been adapted by cognitive psychologists to describe various theories for how the brain goes from incoming sensory information to action selection.
Illustration
The various stages of pattern recognition include:
- Sensor to detect source data (such as the retina for photon reflection)
- Feature detection in the incoming data (such as border detection, orientation and color)
- Classification of data based on features (seeing a “tree” or a “keyboard”)
- Action selection based on classification (jumping out of the way of a moving car coming towards you, not worrying about a moving fly coming towards you)
The pervasiveness of false pattern recognition in human cognition means that it often plays a role in our attempts at reasoning. A large number of informal logical fallacies have been constructed to highlight how this comes out in arguments.
Other Names
Texas Sharpshooter Fallacy
Confirmation bias
Correlation does not equal causation
© 2009, jhslee. All rights reserved.
