Advances in neural information processing systems 2
Regularization theory and neural networks architectures
Neural Computation
Artificial minds
Structural learning with forgetting
Neural Networks
Neural networks and logistic regression: Part I
Computational Statistics & Data Analysis
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
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Finding suitable jobs for US Navy sailors from time to time is an important and ever-changing process. An Intelligent Distribution Agent (IDA) and particularly its constraint satisfaction module take up the challenge to automate the process. The constraint satisfaction module's main task is to provide the bulk of the decision making process in assigning sailors to new jobs in order to maximize Navy and sailor "happiness". We propose Multilayer Perceptron neural network with structural learning in combination with several statistical criteria to aid IDA's constraint satisfaction module, which is also capable of learning high quality decision making over time. Data were taken from Navy databases and from surveys of Navy experts. Results show highly accurate classification and encouraging prediction.