Bayesian problem-solving
An Overview of Some Recent Developments in Bayesian Problem-Solving Techniques
The last few years have seen a surge in interest in the use of techniques from Bayesian decision theory to address problems in AI. Decision theory provides a normative framework for representing and reasoning about decision problems under uncertainty. The articles cover the topics of inference in Bayesian networks, decision-theoretic planning, and qualitative decision theory. Here, I provide a brief introduction to Bayesian networks and then cover applications of Bayesian problem-solving techniques, knowledge-based model construction and structured representations, and the learning of graphic probability models.
Technology:
- Information Technology > Artificial Intelligence > Cognitive Science > Problem Solving (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.97)
- Information Technology > Artificial Intelligence > Machine Learning > Bayesian Networks (0.97)