Decision making under uncertainty can be viewed as a planning task, because it basically amounts to determining a sequence of actions that is optimal for a problem under study. Many different formalisms are used in decision making under uncertainty, with many di erent restrictions enforced. In this paper, a novel, general decision-theoretic planning framework is proposed, and used to analyse various representation formalisms for decision making. Several features of these formalisms are highlighted in terms of the framework, using examples from the domain of cancertreatment planning in medicine
We propose a means of extending Conditional Random Field modeling to decision-theoretic planning whe...
This paper discusses the challenges involved in the representation and treatment of uncertainties in...
This open access book focuses on both the theory and practice associated with the tools and approach...
. Therapy planning is a very complex task, being the patient's therapeutic response affected by...
When a doctor is treating a patient, he is constantly facing decisions. From the externally visible ...
This paper shows how we can combine logical representations of actions and decision theory in such a...
called decision-theoretic planning, but it can also be considered as planning under uncertainty. All...
How do people make difficult decisions in situations involving substantial risk and uncertainty? In ...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
Reasoning about uncertainty is an essential component of many real-world plan-ning problems, such as...
As the limitations of traditional AI plan representations have become apparent, researchers have tur...
Hierarchical planners create descriptions of abstract states and divide their planning task into su...
Our research area is planning under uncertainty, that is, making sequences of decisions in the face ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Abstract—Planning is an important activity in military coali-tions and the support of an automated p...
We propose a means of extending Conditional Random Field modeling to decision-theoretic planning whe...
This paper discusses the challenges involved in the representation and treatment of uncertainties in...
This open access book focuses on both the theory and practice associated with the tools and approach...
. Therapy planning is a very complex task, being the patient's therapeutic response affected by...
When a doctor is treating a patient, he is constantly facing decisions. From the externally visible ...
This paper shows how we can combine logical representations of actions and decision theory in such a...
called decision-theoretic planning, but it can also be considered as planning under uncertainty. All...
How do people make difficult decisions in situations involving substantial risk and uncertainty? In ...
International audienceThe goal of this chapter is to provide a general introduction to decision maki...
Reasoning about uncertainty is an essential component of many real-world plan-ning problems, such as...
As the limitations of traditional AI plan representations have become apparent, researchers have tur...
Hierarchical planners create descriptions of abstract states and divide their planning task into su...
Our research area is planning under uncertainty, that is, making sequences of decisions in the face ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Abstract—Planning is an important activity in military coali-tions and the support of an automated p...
We propose a means of extending Conditional Random Field modeling to decision-theoretic planning whe...
This paper discusses the challenges involved in the representation and treatment of uncertainties in...
This open access book focuses on both the theory and practice associated with the tools and approach...