Opposition-Based Learning: A New Scheme for Machine Intelligence

Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions are the foundation of this new approach. Examples are provided. Possibilities for extensions of existing learning algori...

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Bibliographische Detailangaben
1. Verfasser:	Tizhoosh, H.R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biological neural networks Computational intelligence Genetic algorithms Humans Intelligent agent Internet Learning systems Machine intelligence Machine learning Neural networks
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Beschreibung
Zusammenfassung:	Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions are the foundation of this new approach. Examples are provided. Possibilities for extensions of existing learning algorithms are discussed. Preliminary results are provided
DOI:	10.1109/CIMCA.2005.1631345