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		<cpt id="Market_Activity">
			<state id="Up" />
			<state id="Flat" />
			<state id="Down" />
			<probabilities>0.5 0.3 0.2</probabilities>
		</cpt>
		<decision id="Obtain_Forecast">
			<state id="Forecast" />
			<state id="NoForecast" />
		</decision>
		<cpt id="Economy_Forecast">
			<state id="Up" />
			<state id="Flat" />
			<state id="Down" />
			<parents>Obtain_Forecast Market_Activity</parents>
			<probabilities>0.8 0.1 0.1 0.15 0.7 0.15 0.2 0.2 0.6 0.33333333 0.33333333 0.33333334 0.33333333 0.33333333 0.33333334 0.33333333 0.33333333 0.33333334</probabilities>
		</cpt>
		<decision id="Investment">
			<state id="Choice0" />
			<state id="Choice1" />
			<state id="Choice2" />
			<parents>Obtain_Forecast Economy_Forecast</parents>
		</decision>
		<utility id="Payoff">
			<parents>Market_Activity Investment Obtain_Forecast</parents>
			<utilities>1500 1500 1000 1000 500 500 100 100 200 200 500 500 -1000 -1000 -100 -100 500 500</utilities>
		</utility>
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		<genie version="1.0" app="GeNIe 2.2.2626.2 1d3af2fc8bc8c80" name="Clemen Figure 12.8" faultnameformat="nodestate">
			<comment>Figure 12.8: Investment decision tree with the perfect-information alternative (Figures 12.5, 12.6, and 12.7 are auxiliary to this figure; this influence diagram performs value of information computation equivalent to that of the decision tree in the figure).\nReference:\nRobert T. Clemen, Making Hard Decisions: An Introduction to Decision Analysis, Second Edition. Duxbury Press, 1996.</comment>
			<node id="Market_Activity">
				<name>Market Activity</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="10" bold="true" />
				<position>255 21 338 65</position>
			</node>
			<node id="Obtain_Forecast">
				<name>Obtain Forecast</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="10" bold="true" />
				<position>27 20 107 67</position>
			</node>
			<node id="Economy_Forecast">
				<name>Economy Forecast</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="10" bold="true" />
				<position>136 20 230 67</position>
			</node>
			<node id="Investment">
				<name>Investment Decision</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="10" bold="true" />
				<position>143 99 222 144</position>
			</node>
			<node id="Payoff">
				<name>Payoff</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="10" bold="true" />
				<position>258 103 334 139</position>
			</node>
			<textbox>
				<caption>Figure 12.8: Investment decision tree with the perfect-information alternative (Figures 12.5, 12.6, and 12.7 are auxiliary to this figure; this influence diagram performs value of information computation equivalent to that of the decision tree in the figure).\nRobert T. Clemen, Making Hard Decisions: An Introduction to Decision Analysis, Second Edition. Duxbury Press, 1996.</caption>
				<font color="000080" name="Arial" size="12" bold="true" />
				<position>18 183 514 297</position>
			</textbox>
			<textbox>
				<caption>This is one way of modeling explicity the decision of whether to buy information. Obtain_Forecast indexes Economy_Forecast and screens it away from Investment when no information is bought.</caption>
				<font color="000080" name="Arial" size="12" bold="true" />
				<position>362 13 574 165</position>
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