WebGrid: Knowledge Modeling and Inference through the World Wide Web

WebGrid is a knowledge acquisition and inference server on the World Wide Web that uses an extended repertory grid system for knowledge acquisition, inductive inference for knowledge modeling, and an integrated knowledge-based system shell for inference. This demonstration shows WebGrid modeling a standard dataset for the NASA autolander problem which illustrates the system’s capability for open-class reasoning with incompletely specified cases.