Graph-based reasoning and reinforcement learning for improving Q/A performance in large knowledge-based systems
Abhishek B. Sharma, Kenneth D. Forbus · 2010
Learning to plausibly reason with minimal user intervention could significantly improve knowledge acquisition. We describe how to integrate graph-based heuristic generalization, higher-order knowledge, and reinforcement learning to learn to produce plausible inferences with only small amounts of user training. Experiments on ResearchCyc KB contents show significant improvement in Q/A performance with high accuracy.