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Additional file 1: Influence diagram.

Two different models have been designed: SID (Simple Influence Diagram) and CID (Context-based Influence Diagram).

The corresponding influence diagram for this approach is shown in Figure 5.

The influence diagram is a compact way for describing the dependencies among variables and decisions [19].

Open image in new window Figure 5 Influence diagram considered in the non-causal approach.

We focus on the popular decision tree and influence diagram representations.

In this line, the work proposes a user-friendly graphical technique called the system efficiency influence diagram (SEID).

We focus on exact evaluation of linear-quadratic conditional Gaussian influence diagrams (LQCG influence diagrams) with additively decomposing utility functions.

We also compare CEGs with Influence diagrams, Valuation Networks, Sequential decision diagrams, Sequential influence diagrams and Decision circuits for the representation and analysis of asymmetric decision problems.

In this paper, we review the representation issues and modeling challenges associated with influence diagrams.

Influence diagrams are intuitive and concise representations of structured decision problems.