DT-Planner: an environment for managing dynamic decision problems

Computer Methods and Programs in Biomedicine
Paolo Magni, Riccardo Bellazzi

Abstract

The problem of formulating plans under uncertainty and coping with dynamic decision problems is a major task of both artificial intelligence and control theory applications in medicine. In this paper we will describe a software package, called DT-Planner, designed to represent and solve dynamic decision problems that can be modelled as Markov decision processes, by exploiting a novel graphical formalism, called influence view. An influence view is a directed acyclic graph that depicts the probabilistic relationships between the problem state variables in a generic time transition; additional variables, called event variables, may be added, in order to describe the conditional independencies between state variables. By using the specified conditional independence structure, an influence view may allow a parsimonious specification of a Markov decision process. DT-Planner lets the user specify and manage models through a user-friendly graphical interface, and implements efficient for policy determination algorithms. DT-Planner is written in C with Open Interface libraries and can be obtained, for non commercial use, via anonymous ftp without charge.

References

Feb 1, 1992·Computers and Biomedical Research, an International Journal·D E Heckerman, B N Nathwani
Jul 1, 1991·Computer Methods and Programs in Biomedicine·R BellazziM Stefanelli
Jul 1, 1995·Computer Methods and Programs in Biomedicine·G MarshallR H Jones
Oct 1, 1993·Medical Decision Making : an International Journal of the Society for Medical Decision Making·F A Sonnenberg, J R Beck

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Citations

Jan 4, 2001·International Journal of Medical Informatics·P MagniG Barosi
Jun 26, 2007·Artificial Intelligence in Medicine·Marcel A J van GervenPeter J F Lucas

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