Encyclopedia of Machine Learning

2010 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Adaptive Resonance Theory

  • Gail A. Carpenter
  • Stephen Grossberg
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_11
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Synonyms

ART

Definition

Adaptive resonance theory, or ART, is both a cognitive and neural theory of how the brain quickly learns to categorize, recognize, and predict objects and events in a changing world, and a set of algorithms that computationally embody ART principles and that are used in large-scale engineering and technological applications wherein fast, stable, and incremental learning about complex changing environment is needed. ART clarifies the brain processes from which conscious experiences emerge. It predicts a functional link between processes of consciousness, learning, expectation, attention, resonance, and synchrony (CLEARS), including the prediction that “all conscious states are resonant states.” This connection clarifies how brain dynamics enable a behaving individual to autonomously adapt in real time to a rapidly changing world. ART predicts how top-down attention works and regulates fast stable learning of recognition categories. In particular, ART articulates...

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Recommended Reading

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Gail A. Carpenter
  • Stephen Grossberg

There are no affiliations available