// ~->[DNET-1]->~

// File created by Norsys using Netica 1.05a on Feb 06, 1998 at 05:05:09.

bnet Zhang93_p128 {
comment = "Example of a separable (termed 'abnormal' by Zhang) decision \
	network.\n\
	Also shows the 2 networks it can be separated into.\n\
	These networks contains only dependence information; they \
	have no numerical probabilities.\n\
	From Lian Wen (Nevin) Zhang's 1993 PhD thesis, University of \
	British Columbia (also UBC Computer Science tech. report \
	94-8, p.128)";
whochanged = "BoerlageB";
whenchanged = 767636431;

visual V4 {
	defdispform = LABELBOX;
	nodelabeling = TITLE;
	nodefont = font {shape= "Arial"; size= 10;};
	linkfont = font {shape= "Arial"; size= 9;};
	commentfont = font {shape= "Arial"; size= 10;};
	windowposn = (90, 4, 554, 458);
	resolution = 72;
	drawingbounds = (1152, 752);
	showpagebreaks = FALSE;
	usegrid = TRUE;
	gridspace = (6, 6);
	};

node A {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = ();
	visual V4 {
		center = (216, 36);
		height = 18;
		};
	};

node B {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = (A);
	visual V4 {
		center = (216, 120);
		height = 1;
		};
	};

node D {
	kind = DECISION;
	discrete = TRUE;
	numstates = 2;
	parents = (A);
	visual V4 {
		center = (144, 72);
		height = 2;
		};
	};

node E {
	kind = DECISION;
	discrete = TRUE;
	numstates = 2;
	parents = (A);
	visual V4 {
		center = (288, 72);
		height = 5;
		};
	};

node F {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = (E, B);
	visual V4 {
		center = (288, 120);
		height = 4;
		};
	};

node V {
	kind = UTILITY;
	discrete = FALSE;
	parents = (B, F);
	visual V4 {
		center = (252, 174);
		height = 7;
		};
	};

node C {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = (D, B);
	visual V4 {
		center = (144, 120);
		height = 3;
		};
	};

node U {
	kind = UTILITY;
	discrete = FALSE;
	parents = (B, C);
	visual V4 {
		center = (180, 174);
		height = 6;
		};
	};

node A2 {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = ();
	visual V4 {
		center = (246, 240);
		height = 11;
		};
	};

node B2 {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = (A2);
	visual V4 {
		center = (246, 324);
		height = 12;
		};
	};

node E1 {
	kind = DECISION;
	discrete = TRUE;
	numstates = 2;
	parents = (A2);
	visual V4 {
		center = (318, 276);
		height = 9;
		};
	};

node F1 {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	inputs = (E1, x_1);
	parents = (E1, B2);
	visual V4 {
		center = (318, 324);
		height = 8;
		};
	};

node V1 {
	kind = UTILITY;
	discrete = FALSE;
	inputs = (B2, x_1);
	parents = (B2, F1);
	visual V4 {
		center = (282, 378);
		height = 10;
		};
	};

node A1 {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = ();
	visual V4 {
		center = (186, 240);
		height = 13;
		};
	};

node B1 {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = (A1);
	visual V4 {
		center = (186, 324);
		height = 14;
		};
	};

node D1 {
	kind = DECISION;
	discrete = TRUE;
	numstates = 2;
	parents = (A1);
	visual V4 {
		center = (114, 276);
		height = 15;
		};
	};

node C1 {
	kind = NATURE;
	discrete = TRUE;
	numstates = 2;
	parents = (D1, B1);
	visual V4 {
		center = (114, 324);
		height = 16;
		};
	};

node U1 {
	kind = UTILITY;
	discrete = FALSE;
	parents = (B1, C1);
	visual V4 {
		center = (150, 378);
		height = 17;
		};
	};
};