Perkun & Wlodkowic released

Finally I got Wlodkowic completed. Take a look at the Perkun package (https://sourceforge.net/projects/perkun/ - download perkun-0.1.3.tar.gz).

I am especially proud of the apriori section - now you do not need to touch the C++ code to define the a-priori distribution. For example:


values
{
    value false, true;
}
variables
{
    input variable a:{false,true};
    hidden variable c:{false,true};
    output variable b:{false,true};
}
knowledge {}
payoff
{
    set({a=>false}, 0.0);
    set({a=>true}, 1.0);
}
model {}
apriori
{
set({a=>{false}},{c=>{false}}, 0.3);
set({a=>{false}},{c=>{true}}, 0.7);

set({a=>{true}},{c=>{false}}, 0.9);
set({a=>{true}},{c=>{true}}, 0.1);
}

But the real power of Wlodkowic is in the states reduction potential (putting the "unimportant" rules into the knowledge section).

Because due to the "unimportant" rules each input variable may have multiple values now, so unlike Perkun Wlodkowic does not simply get one line per all variables. Instead it is asking for each variable separately and expects all its values separated by spaces in a single line. Their order is not important. Take a look at the test files in src2.

There is no code for Prolog or Haskell generators in Wlodkowic (I was thinking about it, but it seems rather complex).