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<< Click to Display Table of Contents >> Navigation: Tutorials > Tutorial 4: Creating the Influence Diagram > Tutorial4.cs |
using System;
using Smile;
// Tutorial4 loads the XDSL file file created by Tutorial1
// and adds decision and utility nodes, which transforms
// a Bayesian Network (BN) into an Influence Diagram (ID).
namespace SmileNetTutorial
{
class Tutorial4
{
public static void Run()
{
Console.WriteLine("Starting Tutorial4...");
Network net = new Network();
net.ReadFile("tutorial1.xdsl");
int s = net.GetNode("Success");
int i = CreateNode(net, Network.NodeType.List,
"Invest", "Investment decision",
new String[] { "Invest", "DoNotInvest" }, 160, 240);
int g = CreateNode(net, Network.NodeType.Table,
"Gain", "Financial gain", null, 60, 200);
net.AddArc(i, g);
net.AddArc(s, g);
double[] gainDefinition = new double[]
{
10000, // Utility(Invest=I, Success=S)
-5000, // Utility(Invest=I, Success=F)
500, // Utility(Invest=D, Success=S)
500 // Utility(Invest=D, Success=F)
};
net.SetNodeDefinition(g, gainDefinition);
net.WriteFile("tutorial4.xdsl");
Console.WriteLine(
"Tutorial4 complete: ID written to tutorial4.xdsl.");
}
private static int CreateNode(
Network net, Network.NodeType nodeType, String id, String name,
String[] outcomes, int xPos, int yPos)
{
int handle = net.AddNode(nodeType, id);
net.SetNodeName(handle, name);
net.SetNodePosition(handle, xPos, yPos, 85, 55);
if (outcomes != null)
{
int initialOutcomeCount = net.GetOutcomeCount(handle);
for (int i = 0; i < initialOutcomeCount; i++)
{
net.SetOutcomeId(handle, i, outcomes[i]);
}
for (int i = initialOutcomeCount; i < outcomes.Length; i++)
{
net.AddOutcome(handle, outcomes[i]);
}
}
return handle;
}
}
}