ProfitPress Mega CDROM2 …eeware (MSDOS)(1992)(Eng)/ProfitPress-MegaCDROM2.B6I/PROG/MISC/BAYES.ZIP/BAYES.AUG

Text File | 1991-03-11 | 12.6 KB | 502 lines

program BayesNet(NodeFile,LinkFile,Output);
{
   This code is a basic implementation of Judea Pearl's belief
   propagation algorithm for tree-structured Bayesian belief
   networks.  The procedures and functions can be divided into
   three basic groups:

   Math Support:
      Normalize
      MakeIdentityVector
      TermProduct
      TermQuotient
      MatMult
   Core:
      ReviseBelief
      UpdateNode
      SubmitEvidence
   General Support:
      ReadString
      FindNode
      DumpNetwork
         DumpNode
      ReadNet
         ReadNodes
         ReadLinks

   The Core routines are described in the August AI Expert article.
   The main program is set up to run the example from the May AI
   Expert article.  It reads the net from two data files which are
   described in ReadNodes and ReadLinks.  Be sure to figure out how
   to RESET these files so that they get picked up correctly by those
   procedures.
}

const
   MaxString      = 15;
   MaxValues      =  5;

type
   StringRange = 1..MaxString;
   ValueRange  = 1..MaxValues;
   StringType  = packed array[StringRange] of char;
   NetVector   = record
                    Data:  array [ValueRange] of real;
                    NVals: ValueRange
                 end;
   CPType      = record
                    Data:        array[ValueRange,ValueRange] of real;
                    NRows,NCols: ValueRange
                 end;
   NetNodePtr  = ^NetNode;
   NetNode     = record
                    Name:                       StringType;
                    NumValues:                  ValueRange;
                    Values:                     array[ValueRange] of
StringType;
                    Belief,Pi,IncomingPi,
                    ExternalLambda,
                    Lambda,OutgoingLambda:      NetVector;
                    Parent,NextNode,
                    NextSibling,FirstChild:     NetNodePtr;
                    CPMatrix,TransCPMatrix:     CPType
                 end;

var      NodeFile,LinkFile:            Text;
         NetRoot,NodeList:             NetNodePtr;
         EvidenceVector:               NetVector;

{ ******************** Math Support ******************** }

procedure Normalize(var Vector: NetVector);
{ Scales incoming Vector so that it sums to unity }
var i:   ValueRange;
    Sum: real;

begin
Sum := 0;
with Vector do
   begin
   for i := 1 to NVals do
      Sum := Sum + Data[i];
   for i := 1 to NVals do
      Data[i] := Data[i] / Sum
   end
end;

procedure MakeIdentityVector(var Vector: NetVector;Length: ValueRange);
{ Makes incoming Vector into an identity vector of specified length}
var i: ValueRange;

begin
with Vector do
   begin
   NVals := Length;
   for i := 1 to Length do
      Data[i] := 1.0
   end
end;

procedure TermProduct(var V1,V2,Result: NetVector);
{ Returns term product of V1 and V2 in Result }
var i:  ValueRange;

begin
if v1.NVals <> v2.Nvals then
   writeln('*** Dimension error in TermProduct ***');
with Result do
   begin
   Nvals := V1.Nvals;
   for i := 1 to NVals do
      Data[i] := V1.Data[i] * V2.Data[i]
   end

end;

procedure TermQuotient(var V1,V2,Result: NetVector);
{ Returns term quotient of V1 and V2 in Result }

var i:  ValueRange;

begin
if v1.NVals <> v2.Nvals then
   writeln('*** Dimension error in TermQuotient ***');
with Result do
   begin
   Nvals := V1.Nvals;
   for i := 1 to NVals do
      Data[i] := V1.Data[i] / V2.Data[i]
   end
end;

procedure MatMult(var InMat:  CPType;var InVec:  NetVector;var OutVec:
NetVector);
{ Simplified matrix multiplication matrix routine.  Multiplies InMat * InVec
  to produce OutVec.  Interprets InVec to be a NVals X 1 matrix. }
var Row,Col: ValueRange;

begin
if InMat.NCols <> InVec.NVals then
   writeln('*** Dimension error in MatMult ***');
with InMat do
   begin
   OutVec.NVals := NRows;
   for Row := 1 to NRows do
      begin
      OutVec.Data[Row] := 0.0;
      for Col := 1 to NCols do
         OutVec.Data[Row] := OutVec.Data[Row] + Data[Row,Col] * InVec.Data[Col]
       end
   end
end;

{ ******************** Core ******************** }

procedure ReviseBelief(Node: NetNodePtr);
var Child:  NetNodePtr;
begin
with Node^ do
   begin
   { Part (a) of Figure 4 }
   if Parent <> nil then
      MatMult(TransCPMatrix,IncomingPi,Pi);
   { Part (b) of Figure 4 }
   Lambda := ExternalLambda;
   Child := FirstChild;
   while Child <> nil do
      begin
      TermProduct(Child^.OutgoingLambda,Lambda,Lambda);
      Child := Child^.NextSibling
      end;
   { Shaded part of Figure 4 }
   TermProduct(Lambda,Pi,Belief);
   Normalize(Belief)
   end
end;

procedure UpdateNode(Node,Sender: NetNodePtr);
var Child:  NetNodePtr;
begin
with Node^ do
   begin
   ReviseBelief(Node);
   { Update OutgoingLambda & send update message to parent
     (part (c) of Figure 4) }
   if (Parent <> Sender) and (Parent <> nil) then
      begin
      MatMult(CPMatrix,Lambda,OutgoingLambda);
      UpdateNode(Parent,Node)
      end;
   { Update IncomingPi and send update message to children
     (part (d) of Figure 4) }
   Child := FirstChild;
   while Child <> nil do
      begin
      if Child <> Sender then
         begin
         TermQuotient(Belief,Child^.OutgoingLambda,Child^.IncomingPi);
         UpdateNode(Child,Node)
         end;
      Child := Child^.NextSibling
      end
   end
end;

procedure SubmitEvidence(Node: NetNodePtr;var Evidence: NetVector);
var i: ValueRange;
begin
with node^ do
   begin
   writeln('Submitting evidence to ',Node^.Name,', evidence is:');
   for i := 1 to Evidence.NVals do
      writeln('[',Values[i],'] = ',Evidence.Data[i]);
   TermProduct(Evidence,ExternalLambda,ExternalLambda);
   UpdateNode(Node,nil)
   end
end;

{ ******************** General Support ******************** }

function ReadString(var InFile: Text;var InString: StringType): boolean;
{ Reads InFile, returning next string in InString.  Returns FALSE upon
  encountering end of file, otherwise returns TRUE. }
var i,j:  StringRange;

begin
if eof(InFile) then
   ReadString := false
else
   begin
   i := 1;
   while not eoln(InFile) do
      begin
      read(InFile,InString[i]);
      i := i + 1
      end;
   readln(InFile);
   for j := i to MaxString do
      InString[j] := ' ';
   ReadString := true
   end;
end;

function FindNode(NodeName: StringType):NetNodePtr;
{ Searches network for node having specified NodeName. }
var CurrentNode:   NetNodePtr;

begin
CurrentNode := NodeList;
while (CurrentNode^.Name <> NodeName) and (CurrentNode <> nil) do
   CurrentNode := CurrentNode^.NextNode;
if CurrentNode = nil then
   begin
   writeln('*** Error in FindNode -- cannot find ',NodeName);
   FindNode := nil
   end
else
   FindNode := CurrentNode
end;

procedure DumpNetwork(Node: NetNodePtr);
{ Recursive procedure to dump network, given pointer to root }

procedure DumpNode(Node: NetNodePtr);
{ Simple procedure to dump a single node }
const Stars = '*************************************************';

var CurrentValue,NumRows,NumCols,Row,Col:  ValueRange;

begin
writeln(Stars);
with Node^ do
   begin
   writeln('Dumping ',Name);
   for CurrentValue := 1 to NumValues do
      writeln('Pi[',Values[CurrentValue],'] = ',Pi.Data[CurrentValue]);
   for CurrentValue := 1 to NumValues do
      writeln('Lambda[',Values[CurrentValue],'] = ',Lambda.Data[CurrentValue]);
   for CurrentValue := 1 to NumValues do
      writeln('Belief[',Values[CurrentValue],'] = ',Belief.Data[CurrentValue]);
   if Parent <> nil then
      begin
      writeln;
      writeln('CP Matrix:');
      for Row := 1 to CPMatrix.NRows do
         begin
         for Col := 1 to CPMatrix.NCols do
            write(CPMatrix.Data[Row,Col]);
         writeln
         end
      end
   end;
writeln(Stars);
writeln('Type <cr> to continue...');
readln
end;   { of DumpNode }

var CurrentNode: NetNodePtr;

begin
if Node <> nil then
   begin
   DumpNode(Node);
   CurrentNode := Node^.FirstChild;
   while CurrentNode <> nil do
      begin
      DumpNetwork(CurrentNode);
      CurrentNode := CurrentNode^.NextSibling
      end
   end
end;

procedure ReadNet(var NodeFile,LinkFile: Text);

procedure ReadNodes(Var NodeFile: Text);
{ This procedure reads the NodeFile.  Format of file is as follows:

   Node 1 name
   Node 1 number of values
   Node 1 value 1 name
   Node 1 value 1 prior probability (ignored except for root node)
   Node 1 value 2 name
   Node 1 value 2 prior probability (ignored except for root node)
           .....
   Node 1 value n name
   Node 1 value n prior probability (ignored except for root node)
   Node 2 name
           .....
           etc.
}
var NodeName:      StringType;
    CurrentValue:  ValueRange;
    eofStatus:     boolean;
    CurrentNode:   NetNodePtr;

begin
reset(NodeFile);
NodeList := nil;
while ReadString(NodeFile,NodeName) do
   begin
   new(CurrentNode);
   with CurrentNode^ do
      begin
      Name := NodeName;
      readln(NodeFile,NumValues);
      for CurrentValue := 1 to NumValues do
         begin
         eofStatus := ReadString(NodeFile,Values[CurrentValue]);
         readln(NodeFile,Pi.Data[CurrentValue])
         end;
      Pi.NVals := NumValues;
      Parent := nil;
      NextSibling := nil;
      FirstChild := nil;
      NextNode := NodeList;
      NodeList := CurrentNode;
      MakeIdentityVector(ExternalLambda,NumValues);
      MakeIdentityVector(Lambda,NumValues)
      end
   end;
close(NodeFile)
end;   { or ReadNodes }

procedure ReadLinks(var LinkFile: Text);
{ This procedure reads the NodeFile.  Be careful here, upper/lower case
  must match identically the node names in NodeFile.  Format of file is
  as follows:

   Top Node name for first link
   Bottom Node name for first link
   1st row of CP matrix
   2nd row of CP matrix
          ....
   nth row of CP matrix
   Top Node name for second link
   Bottom Node name for second link
   1st row of CP matrix
   2nd row of CP matrix
          ....
   nth row of CP matrix
       etc.
}
var TopNodeName,BottomNodeName:      StringType;
    TopNode,BottomNode:              NetNodePtr;
    Row,Col:                         ValueRange;
    eofStatus:                       boolean;

begin
reset(LinkFile);
while ReadString(LinkFile,TopNodeName) do
   begin
   TopNode := FindNode(TopNodeName);
   eofStatus := ReadString(LinkFile,BottomNodeName);
   BottomNode := FindNode(BottomNodeName);
   with BottomNode^ do
      begin
      CPMatrix.NRows := TopNode^.NumValues;
      CPMatrix.NCols := NumValues;
      TransCPMatrix.NRows := CPMatrix.Ncols;
      TransCPMatrix.NCols := CPMatrix.NRows;
      for Row := 1 to CPMatrix.NRows do
         begin
         for Col := 1 to CPMatrix.Ncols do
            begin
            read(LinkFile,CPMatrix.Data[Row,Col]);
            TransCPMatrix.Data[Col,Row] := CPMatrix.Data[Row,Col]
            end;
         readln(LinkFile)
         end;
      NextSibling := TopNode^.FirstChild;
      Parent := TopNode;
      MakeIdentityVector(OutgoingLambda,TopNode^.NumValues)
      end;
   TopNode^.FirstChild := BottomNode
   end
end;   { of ReadLinks }

begin
ReadNodes(NodeFile);
ReadLinks(LinkFile);
{ Find root of network. }
NetRoot := NodeList;
while NetRoot^.Parent <> nil do
   NetRoot := NetRoot^.NextNode;
{ Initialize network }
UpdateNode(NetRoot,nil)
end;

begin

{ Read network in }
ReadNet(NodeFile,LinkFile);

{ Take a look }
DumpNetwork(NetRoot);

{ Store evidence from rain alarm in EvidenceVector }
with EvidenceVector do
   begin
   Data[1] := 0.8;
   Data[2] := 0.04;
   NVals := 2
   end;

{ Submit EvidenceVector to Rain node }
SubmitEvidence(FindNode('Rain           '),EvidenceVector);

{ Take a look }
DumpNetwork(NetRoot);

{ Store evidence from telephone call in EvidenceVector }
with EvidenceVector do
   begin
   Data[1] := 1.0;
   Data[2] := 0.02;
   NVals := 2
   end;

{ Submit EvidenceVector to Sunburn node }
SubmitEvidence(FindNode('Sunburn        '),EvidenceVector);

{ Take a look }
DumpNetwork(NetRoot)

end.

Clouds
Rain
0.6 0.4
0.0 1.0
Rain
Play Game
0.05 0.95
1.00 0.00
Clouds
Sunburn
0.1 0.9
0.7 0.3
Clouds
2
Present
.1
Absent
.9
Rain
2
Present
0
Absent
0
Play Game
2
Yes
0
No
0
Sunburn
2
Yes
0
No
0