<?xml version="1.0" encoding="ISO-8859-1"?>
<smile version="1.0" id="VentureIDS" numsamples="10000" discsamples="10000">
	<nodes>
		<decision id="Sensitivity">
			<state id="Low" />
			<state id="Nominal" />
			<state id="High" />
		</decision>
		<cpt id="Success">
			<state id="Success" />
			<state id="Failure" />
			<parents>Sensitivity</parents>
			<probabilities>0.1 0.9 0.2 0.8 0.35 0.65</probabilities>
		</cpt>
		<cpt id="Forecast">
			<state id="Good" />
			<state id="Moderate" />
			<state id="Poor" />
			<parents>Success</parents>
			<probabilities>0.4 0.4 0.2 0.1 0.3 0.6</probabilities>
		</cpt>
		<decision id="Invest">
			<state id="Invest" />
			<state id="DoNotInvest" />
			<parents>Sensitivity</parents>
		</decision>
		<utility id="Gain">
			<parents>Success Invest</parents>
			<utilities>10000 500 -5000 500</utilities>
		</utility>
	</nodes>
	<extensions>
		<genie version="1.0" app="GeNIe 2.3.3520.1 1d480d954d39d00" name="Venture ID: Sensitivity analysis in GeNIe" faultnameformat="nodestate">
			<comment>This tutorial model demonstrates sensitivity analysis for influence diagrams in GeNIe.\nNode Sensitivity is an index node that allows us to (1) enter various values for the probability distribution of node Success, and (2) observe the expected utilities of various decision options in node Invest for these values.\n\nReference:\nBayesFusion, LLC</comment>
			<node id="Sensitivity">
				<name>Sensitivity</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="12" />
				<position>120 20 197 48</position>
				<comment>This variable is an index that allows for computing sensitivity of the result to uncertainty about the a-priori probability of success of the business venture.</comment>
			</node>
			<node id="Success">
				<name>Success of the venture</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="12" />
				<position>180 80 292 145</position>
				<comment>This variable describes uncertainty related to the success of a widget manufacturing plant. Quantification of the uncertainty is obtained from market statistics for widget producing ventures. We simplified the variable somewhat by assuming that it can take only two values: success or failure.</comment>
			</node>
			<node id="Forecast">
				<name>Expert forecast</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="12" />
				<position>193 180 279 239</position>
				<comment>The information captured in this variable comes from T.J. Jones Company, Professional Consultants.</comment>
			</node>
			<node id="Invest">
				<name>Investment decision</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="12" />
				<position>42 89 129 136</position>
				<comment>The decision is whether to invest $5,000 in a startup company. The options are to invest or not to invest. In the latter case, the money will be deposited risk-free in a bank.</comment>
			</node>
			<node id="Gain">
				<name>Financial Gain</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="12" />
				<position>32 188 139 230</position>
				<comment>This node specifies the total financial gain resulting from the investment decision. Please note that the original investment amount is not included in the gain.</comment>
			</node>
			<textbox>
				<caption>This tutorial model demonstrates sensitivity analysis for influence diagrams in GeNIe.\nNode Sensitivity is an index node that allows us to (1) enter various values for the probability distribution of node Success, and (2) observe the expected utilities of various decision options in node Invest for these values. </caption>
				<font color="000080" name="Arial" size="12" bold="true" />
				<position>340 20 604 210</position>
			</textbox>
		</genie>
	</extensions>
</smile>
