The appeal of parallel distributed processing
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
An intelligent agent approach for teaching neural networks using LEGO® handy board robots
Journal on Educational Resources in Computing (JERIC) - Special issue on robotics in undergraduate education. Part 2
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Neural networks have been and will continue to be major researchareas in artificial intelligence. Such models show promise inachieving human-like performance, particularly in areas such asspeech and pattern recognition. Recently, neural networks havebegun to find their way out of the research labs and into the realmof practical applications. Unfortunately, however, the study ofsuch networks has been largely overlooked in the computer scienceundergraduate curriculum. Tomorrow's marketplace demands thatcomputer science students be familiar with neural networks and withtheir problem solving abilities. This paper presents a proposal fora neural network module to be integrated into an Introduction toArtificial Intelligence course. Such a module proved to be a verypopular and successful part of such a course given by the author.Sample projects assigned in the course will be presented. In anumber of these projects, students either used microcomputerapplication software which simulates several neural network modelsor programmed their own simulations on microcomputers.