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

// File created by Norsys using Netica 5.02 on May 08, 2011 at 16:51:59.

bnet N5___Car_Diagnosis_0 {
autoupdate = TRUE;
comment = "\n\
	Car Diagnosis 0                      Copyright 1998-2011 Norsys Software Corp.\n\n\
	This is a simplified example Bayes net to represent the working \n\
	relationships between parts of a car.\n\n\
	It has only the nodes and links; it does not have any probabilistic\n\
	relations (CPTs) entered.  If it had CPTs, it could be used \n\
	for diagnosing car problems, among other things.\n\n\
	This network was designed by Norsys Software Corp.\n\n\n\
	TUTORIAL:          Automatic Learning of Probabilities\n\
	--------\n\n\
	As mentioned above, this Bayes net does not have any CPTs\n\
	(conditional probability tables).  You can verify that by clicking\n\
	on a node to select it, and then choosing Table->View/Edit (or right-click\n\
	and choose Table...).\n\
	The table will be empty.  You can tell that ALL the tables are empty\n\
	because if you select all the nodes and try to choose Report->CPT Tables \n\
	you will see that the menu entry is dimmed.\n\n\
	Choose File->Open As Text, and open \"Car Cases.cas\".  The columns don't line\n\
	up very well because of the tab stop settings, but you can see that it has\n\
	a line near the top with headings for the columns, which are the node names.\n\
	Each subsequent line stands for observations made during a diagnosis \n\
	situation with a particular car.  An asterisk indicates an observation that\n\
	wasn't made.\n\n\
	We can use this set of past observations to learn the probabilities for the\n\
	car diagnosis Bayes net.  Click in the Bayes net to make it active\n\
	(but make sure no nodes are selected), and choose Cases->Learn->Incorp Case File.  \n\
	Select \"Car Cases.cas\" from the dialog box, and accept the default of 1 for \n\
	the degree.  The CPTs will be learned very quickly.\n\n\
	Click on \"Spark Quality\" and then choose Table->View/Edit to see one of\n\
	the tables learned.  Then using the pull-down menu in the upper left of that\n\
	window, you can view the learned CPTs of other nodes.\n\n\
	If you now have further data of more observations, it is easy to combine\n\
	it with what has already been learned.  Choose Cases->Learn->Incorp Case File,  \n\
	this time select \"More Car Cases.cas\" from the dialog box. Do not remove \n\
	existing CPTs when prompted, and again accept the default of 1 for the degree.  \n\
	After the learning, it will be as if Netica learned from one large file of \n\
	cases containing the cases from both files.\n\n\
	At this point you may want to compile the network and try some inference\n\
	to see if the results make sense.  For example, try entering findings of\n\
	bright, dim and off to Headlights (indicating how the headlights look when\n\
	they are turned on).  If the headlights are dim, then it is believed that\n\
	Voltage at Plug will be weak, but if Battery Voltage is measured as strong,\n\
	then the plug voltage changes to strong as well, overriding the headlight\n\
	observation.\n\n\
	If you want to remove the effects of learning from \"Car Cases.cas\", so that\n\
	the network will be as if it had only learned from \"More Car Cases.cas\", \n\
	then choose Cases->Learn->Incorp Case File, select \"Car Cases.cas\" \n\
	from the dialog box, and this time change the degree to -1 (to unlearn). \n\
	After the unlearning, it will be as if the network had only learned from\n\
	\"More Car Cases.cas\".\n\n\
	Now we can test the performance of this network using the case file\n\
	\"Car Cases.cas\".  In general, you can use a file of cases that were used\n\
	during the learning to also test the performance, but that can produce\n\
	misleading results, and it is better to use a set of test cases that were\n\
	not used during the learning, as we will do now.\n\n\
	Suppose we want all the nodes except Headlights, Battery Age, Car Cranks,\n\
	and Car Starts to be unobserved.  That is fairly difficult diagnosis,\n\
	since so few things are being observed.  Select those nodes (by holding down\n\
	the <Ctrl> key while clicking on the node titles), and then choose \n\
	Edit->Select Nodes->Invert Selection, to reverse the selection (since we want \n\
	the unobserved nodes to be selected).  \n\
	Then choose Cases->Test With Cases, and select \"Car Cases.cas\".\n\n\
	A report will be generated for each node being diagnosed (i.e. unobserved).\n\
	For other networks, depending on what the nodes represent, these could be \n\
	diagnosis, predictions, classifications, or a combination.\n\n\
	Look at the report for PlugVolt:Voltage At Plug.  The confusion matrix shows \n\
	that most of the diagnosis were correct (9.78% in error).  Each number in the\n\
	matrix corresponds to how many of the test cases fell into that category.\n\
	See the Netica onscreen help on Test With Cases for further information.\n\n\n\
	";
author = "BoerlageB";
whenchanged = 1304898719;

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node Alter {
	kind = NATURE;
	discrete = TRUE;
	states = (okay, faulty);
	parents = ();
	title = "Alternator";
	whenchanged = 1166679051;
	visual V1 {
		center = (588, 54);
		height = 8;
		};
	};

node Charging {
	kind = NATURE;
	discrete = TRUE;
	states = (okay, faulty);
	parents = (Alter);
	title = "Charging system";
	whenchanged = 1166679051;
	visual V1 {
		center = (588, 132);
		height = 9;
		};
	};

node BatAge {
	kind = NATURE;
	discrete = FALSE;
	states = (new, old, very_old);
	levels = (0, 2, 5, INFINITY);
	parents = ();
	title = "Battery age";
	comment = "New 0-2 yrs, Old 3-5 yrs, Very-old >5 yrs";
	whenchanged = 904528887;
	visual V1 {
		center = (384, 102);
		height = 11;
		};
	};

node BatVolt {
	kind = NATURE;
	discrete = TRUE;
	states = (strong, weak, dead);
	parents = (Charging, BatAge);
	title = "Battery voltage";
	whenchanged = 904528887;
	visual V1 {
		center = (588, 222);
		height = 10;
		};
	};

node MFuse {
	kind = NATURE;
	discrete = TRUE;
	states = (okay, blown);
	parents = ();
	title = "Main fuse";
	whenchanged = 904528887;
	visual V1 {
		center = (186, 90);
		height = 12;
		};
	};

node Dist {
	kind = NATURE;
	discrete = TRUE;
	states = (okay, faulty);
	parents = ();
	title = "Distributer";
	whenchanged = 1166679119;
	visual V1 {
		center = (114, 198);
		height = 5;
		};
	};

node PlugVolt {
	kind = NATURE;
	discrete = TRUE;
	states = (strong, weak, none);
	parents = (MFuse, Dist, BatVolt);
	title = "Voltage at plug";
	whenchanged = 904528887;
	visual V1 {
		center = (294, 198);
		height = 15;
		};
	};

node StMotor {
	kind = NATURE;
	discrete = TRUE;
	states = (okay, faulty);
	parents = ();
	title = "Starter Motor";
	whenchanged = 1166679051;
	visual V1 {
		center = (138, 468);
		height = 14;
		};
	};

node Starter {
	kind = NATURE;
	discrete = TRUE;
	states = (okay, faulty);
	parents = (MFuse, StMotor, BatVolt);
	title = "Starter system";
	whenchanged = 1166679051;
	visual V1 {
		center = (330, 468);
		height = 13;
		link 1 {
			path = ((108, 115), (18, 144), (18, 432), (228, 432), (254, 441));
			};
		};
	};

node Lights {
	kind = NATURE;
	discrete = TRUE;
	states = (bright, dim, off);
	parents = (BatVolt);
	title = "Headlights";
	whenchanged = 904528887;
	visual V1 {
		center = (588, 336);
		height = 16;
		};
	};

node Plugs {
	kind = NATURE;
	discrete = TRUE;
	states = (okay, too_wide, fouled);
	parents = ();
	title = "Spark plugs";
	whenchanged = 904528887;
	visual V1 {
		center = (390, 282);
		height = 3;
		};
	};

node SpkQual {
	kind = NATURE;
	discrete = TRUE;
	states = (good, bad, very_bad);
	parents = (Plugs, PlugVolt);
	title = "Spark quality";
	whenchanged = 904528887;
	visual V1 {
		center = (312, 366);
		height = 4;
		link 2 {
			path = ((282, 234), (282, 288), (299, 331));
			};
		};
	};

node Cranks {
	kind = NATURE;
	discrete = TRUE;
	states = (true, false);
	parents = (Starter);
	title = "Car cranks";
	whenchanged = 1166679093;
	visual V1 {
		center = (438, 540);
		height = 2;
		link 1 {
			path = ((370, 496), (397, 513));
			};
		};
	};

node Timing {
	kind = NATURE;
	discrete = TRUE;
	states = (good, bad, very_bad);
	parents = (Dist);
	title = "Spark timing";
	whenchanged = 904528887;
	visual V1 {
		center = (114, 378);
		height = 6;
		};
	};

node Starts {
	kind = NATURE;
	discrete = TRUE;
	states = (true, false);
	parents = (Cranks, Timing, SpkQual);
	title = "Car starts";
	whenchanged = 1166679093;
	visual V1 {
		center = (612, 540);
		height = 7;
		link 2 {
			path = ((200, 403), (234, 414), (492, 414), (587, 513));
			};
		link 3 {
			path = ((398, 374), (552, 390), (602, 513));
			};
		};
	};

node TITLE1 {
	kind = CONSTANT;
	discrete = FALSE;
	parents = ();
	title = "Car Diagnosis 0";
	whenchanged = 904506242;
	visual V1 {
		center = (318, 24);
		font = font {shape= "Times New Roman"; size= 18;};
		height = 1;
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	};
ElimOrder = (Alter, Lights, Charging, BatAge, StMotor, Starter, Plugs, Starts, Timing, SpkQual, BatVolt, MFuse, Dist, PlugVolt, Cranks);
};