// Bayesian Network
//   Elvira format 

bnet  "Mixed1" { 

// Network Properties

kindofgraph = "directed";
visualprecision = "0.00";
version = 1.0;
default node states = (absent , present);

// Variables 

node X1(continuous) {
title = "NodeX1";
kind-of-node = chance;
type-of-variable = continuous;
pos_x =201;
pos_y =118;
relevance = 7.0;
purpose = "";
min = 0.0;
max = 2.0;
precision = 2;
}

node X2(finite-states) {
title = "NodeX2";
kind-of-node = chance;
type-of-variable = finite-states;
pos_x =523;
pos_y =95;
relevance = 7.0;
purpose = "";
num-states = 2;
states = (yes no);
}

node X3(continuous) {
title = "NodeX3";
kind-of-node = chance;
type-of-variable = continuous;
pos_x =221;
pos_y =326;
relevance = 7.0;
purpose = "";
min = 0.0;
max = 2.0;
precision = 2;
}

// Links of the associated graph:

link X1 X2;

link X2 X3;

//Network Relationships: 

relation X1 { 
comment = "";
kind-of-relation = potential;
deterministic=false;
values= continuous-tree ( 
case X1(0.0, 1.0, 2.0) {
          0 = 2.0000003252356366-1.0000001626178183* exp( 0.5 * X1);
          1 = 0.0 + 0.06368161035576286* exp( 1.0 * X1);
                    } 

);

}

relation X2 X1 { 
comment = "";
kind-of-relation = potential;
deterministic=false;
values= continuous-tree ( 
case X1(0.0, 1.0, 2.0) {
          0 = case X2 {
                    yes = 0.3;
                    no = 0.7;
                              } 
          1 = case X2 {
                    yes = 0.6;
                    no = 0.4;
                              } 
                    } 

);

}

relation X3 X2 { 
comment = "";
kind-of-relation = potential;
deterministic=false;
values= continuous-tree ( 
case X2 {
          yes = case X3(0.0, 1.0, 2.0) {
                    0 = 0.0 + 0.436483* exp( 1.0 * X3);
                    1 = 0.25;
                              } 
          no = case X3(0.0, 1.0, 2.0) {
                    0 = 0.0 + 0.790988* exp( -1.0 * X3);
                    1 = 0.5;
                              } 
                    } 

);

}

}