Inference-Guiding for Intelligent Agents

Authors

Jinchang Wang, The Richard Stockton College of New Jersey

Document Type

Article

Abstract

In many applications of intelligent agents, initially given facts are not sufficient to reach a decision, and more data are needed. In that case, Inference-guiding is needed to identify the missing information and lead inference to a conclusion. This paper presents a new inference- guiding strategy that selects the key pieces of missing information in such a way that the total cost of acquiring additional information for reaching a conclusion is the lowest. The computational experiments show that the new strategy is more effective and economical than the inference-guiding strategies currently available for the intelligent systems.

Recommended Citation

Wang, Jinchang (2005) "Inference-Guiding for Intelligent Agents," Journal of International Technology and Information Management: Vol. 14: Iss. 1, Article 8.
DOI: https://doi.org/10.58729/1941-6679.1147
Available at: https://scholarworks.lib.csusb.edu/jitim/vol14/iss1/8