TY - JOUR
T1 - Dt-Planner
T2 - An environment for managing dynamic decision problems
AU - Magni, Paolo
AU - Bellazzi, Riccardo
PY - 1997/11
Y1 - 1997/11
N2 - 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(TM) libraries and can be obtained, for non commercial use, via anonymous ftp without charge.
AB - 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(TM) libraries and can be obtained, for non commercial use, via anonymous ftp without charge.
KW - Decision Markov processes
KW - Decision- theoretic planning
KW - Dynamic programming
KW - Graphical models
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U2 - 10.1016/S0169-2607(97)00044-8
DO - 10.1016/S0169-2607(97)00044-8
M3 - Article
C2 - 9421664
AN - SCOPUS:0031282237
VL - 54
SP - 183
EP - 200
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
SN - 0169-2607
IS - 3
ER -