Abstract. Frameworks for handling decision problems have been subject to many advances in the last years, both w.r.t. representation languages, solution algorithms and methods for analyzing decision problems. In this paper we outline some of the recent advances by taking outset in the influence diagram framework. In particular, we shall focus on advances in representation languages and exact solution algorithms for decision problems with a single decision maker. Moreover, we give a brief outline of recent contributions to methods for performing sensitivity analysis in influence diagrams.
In this paper we introduce a new graph, the sequential decision diagram, to aid in modeling formulat...
We describe a new graphical language for specifying asymmetric decision problems. The language is ba...
Influence diagrams (ID) are graphical frameworks for decision making in stochastic situations with m...
AbstractInfluence diagrams and decision trees represent the two most common frameworks for specifyin...
We describe a new graphical language for specifying asymmetric decision problems. The language is ba...
AbstractWe describe a new graphical language for specifying asymmetric decision problems. The langua...
An influence diagram is a widely-used graphical model for representing and solving problems of seque...
This thesis addresses some drawbacks related to the evaluation of influence diagrams (ID), which is ...
There are three phases in the life of a decision problem, specification, solution, and rep-resentati...
A hstruct-The concept of a super value node is developed to estend the theor? of influence diagrams ...
this article, we present a new, two--phase method for influence diagram evaluation. In our method, a...
International audienceIn this paper, we focus on multi-criteria decision-making problems. We propose...
This mathematics in industry project explores influence diagrams as tools for decision making. Multi...
We present an approach to the solution of decision problems formulated as influence diagrams. This a...
Abstract—This paper presents decision analysis networks (DANs) as a new type of probabilistic graphi...
In this paper we introduce a new graph, the sequential decision diagram, to aid in modeling formulat...
We describe a new graphical language for specifying asymmetric decision problems. The language is ba...
Influence diagrams (ID) are graphical frameworks for decision making in stochastic situations with m...
AbstractInfluence diagrams and decision trees represent the two most common frameworks for specifyin...
We describe a new graphical language for specifying asymmetric decision problems. The language is ba...
AbstractWe describe a new graphical language for specifying asymmetric decision problems. The langua...
An influence diagram is a widely-used graphical model for representing and solving problems of seque...
This thesis addresses some drawbacks related to the evaluation of influence diagrams (ID), which is ...
There are three phases in the life of a decision problem, specification, solution, and rep-resentati...
A hstruct-The concept of a super value node is developed to estend the theor? of influence diagrams ...
this article, we present a new, two--phase method for influence diagram evaluation. In our method, a...
International audienceIn this paper, we focus on multi-criteria decision-making problems. We propose...
This mathematics in industry project explores influence diagrams as tools for decision making. Multi...
We present an approach to the solution of decision problems formulated as influence diagrams. This a...
Abstract—This paper presents decision analysis networks (DANs) as a new type of probabilistic graphi...
In this paper we introduce a new graph, the sequential decision diagram, to aid in modeling formulat...
We describe a new graphical language for specifying asymmetric decision problems. The language is ba...
Influence diagrams (ID) are graphical frameworks for decision making in stochastic situations with m...