Title :
Opposition-Based Learning: A New Scheme for Machine Intelligence
Author :
Tizhoosh, Hamid R.
Author_Institution :
Pattern Anal. & Machine Intelligence Lab., Waterloo Univ., Ont.
Abstract :
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
Keywords :
estimation theory; learning (artificial intelligence); optimisation; search problems; machine intelligence; opposition-based learning; Biological neural networks; Computational intelligence; Genetic algorithms; Humans; Intelligent agent; Internet; Learning systems; Machine intelligence; Machine learning; Neural networks;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631345
