IDEAL: A Software Package for Analysis of Influence Diagrams
Sampath Srinivas, John S. Breese
TL;DR
IDEAL is a comprehensive software environment designed for creating and evaluating belief networks and influence diagrams, integrating recent advancements in the field within a unified framework.
Contribution
It introduces a new software package that consolidates recent methods for influence diagram evaluation in a flexible, research-oriented environment.
Findings
Successfully implemented latest influence diagram evaluation techniques
Facilitates research and development in belief network analysis
Provides a unified platform for influence diagram analysis
Abstract
IDEAL (Influence Diagram Evaluation and Analysis in Lisp) is a software environment for creation and evaluation of belief networks and influence diagrams. IDEAL is primarily a research tool and provides an implementation of many of the latest developments in belief network and influence diagram evaluation in a unified framework. This paper describes IDEAL and some lessons learned during its development.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBayesian Modeling and Causal Inference · AI-based Problem Solving and Planning · Logic, Reasoning, and Knowledge