Model-based revision of knowledge bases ex pressed as first-order theories was shown in [Winslett 88b] to be useful as a means of de scribing and reasoning about the effects o...
Parallel processors offer a very attractive mechanism for the implementation of large neural networks. Problems in the usage of parallel processing in neural computing involve the...
Existing explanation facilities are typically far more appropriate for knowledge engineers engaged in system maintenance than for endusers of the system. This is because the expla...
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
We apply constraint posting to the problem of reasoning about function from structure. Constraint posting is a technique used by some planners to coordinate decisions. At each dec...
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re ...
In this paper we describe a new approach to the problem of path planning with moving obstacles. Our approach is based on the maneuvering board method commonly used for nautical na...
Lou Tychonievich, David Zaret, John Mantegna, Robe...
This paper proposes the Frequency Modulation Neural Network as an alternative to current neuralnet models. This proposal is for an architecture of a heterogeneous neural-network i...