This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
December 1974 (vol. 23 no. 12)
pp. 1330
D.A. Michalopouos, Dep. Quantitative Methods and Comput. Sci. California State Univ.
The combination of the subjects of pattern recognition, learning and thought is an interesting combination of related disciplines that perhaps falls within the notion of total-concept approach. This book has an interesting and well-structured approach to the mixture of the interrelated concepts of pattern-characteristic recognition, cognitive processes, thought development, and retention abilities by machines programmed to perform such tasks. The author, in conversing with the reader, relates an extensive surveyed background in the areas of pattern recognition, artificial intelligence, psychology, biology, and mathematics. This is done so as to be able to facilitate understanding and comprehension by both the non-computing layman and the avid practitioner.
Citation:
D.A. Michalopouos, "B74-46 Pattern Recognition, Learning and Thought," IEEE Transactions on Computers, vol. 23, no. 12, pp. 1330, Dec. 1974, doi:10.1109/T-C.1974.223867
Usage of this product signifies your acceptance of the Terms of Use.