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IEEE Computational Intelligence Society

Montreal Chapter

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MINI CONFERENCE
THE FACULTY OF ENGINEERING AND COMPUTER SCIENCE
CONCORDIA UNIVERSITY

TIME: Thursday May 29

PLACE: 1515 St. Catherine W., EV003.309, Montreal, QC H3G 1M8
Attendance is Free of Charge

Detail

SPONSORS
The Faculty of Engineering and Computer Science, Concordia University
CS, SMC and CIS Technical Societies of the IEEE
IEEE Montreal Section

 

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Definition

Computational intelligence (CI) is a branch of the study of artificial intelligence. Computational intelligence research aims to use learning, adaptive, or evolutionary computation to create programs that are, in some sense, intelligent. Computational intelligence research either explicitly rejects statistical methods (as is the case with fuzzy systems), or tacitly ignores statistics (as is the case with most neural network research). In contrast, machine learning research rejects non-statistical approaches to learning, adaptivity, and optimization.

Computational intelligence is further closely associated with soft computing, scruffy AI, connectionist systems and cybernetics.

Subjects in computational intelligence as defined by IEEE Computational Intelligence Society are:

 

2 Neural networks 
2 Fuzzy systems 
2 Evolutionary computation, including: 
2 Evolutionary algorithms 
2 Swarm intelligence

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Christopher Faust