Title
Neural nets and artificial intelligence
Abstract
Neural networks have been called “more important than the atomic bomb” and have received a major funding commitment from DARPA. Nevertheless, it is difficult to find even a mention of neural network concepts and applications in many computer science or information systems curricula. In fact, few computer science or information systems faculty are aware of the profound implications of neurocomputing on the future of their field. This paper contends that neural networks must be a significant part of any artificial intelligence course. It illustrates how neural network concepts can be integrated into traditional artificial intelligence course material. Two programming packages for simulating neural networks on personal computers are recommended.
Year
DOI
Venue
1989
10.1145/65293.71221
SIGCSE
Keywords
DocType
Volume
artificial intelligence,traditional artificial intelligence course,major funding commitment,personal computer,atomic bomb,neural network concept,neural network,information systems faculty,computer science,neural net,information systems curriculum,artificial intelligence course
Conference
21
Issue
ISBN
Citations 
1
0-262-57074-2
12
PageRank 
References 
Authors
6.13
1
2
Name
Order
Citations
PageRank
Jack D. Cowan1527529.18
David H. Sharp24512.19