// ~->[DNET-1]->~ // File created by an unlicensed user using Netica 5.04 on 04/09/2018 at 07:32:19 PM. bnet PPconjEM { autoupdate = FALSE; title = "Conjuctive Evidence Model"; comment = "An evidence model with a single conjuctive observable"; whenchanged = 1523316634; user U1 { Hub = "miniPP_CM"; Pathname = "PPconjEM.dne"; priorWeight = "10"; }; param X_EnergyTransfer_2 { kind = DISCONNECTED; discrete = TRUE; states = (High, Medium, Low); StateComments = ("Can use to solve difficult problems", "Can use to solve simple but not difficult problems", "Can not solve simple problems."); levels = (0.967421566101701, 0, -0.967421566101701); title = "EnergyTransfer"; whenchanged = 1523314216; }; param X_POfMom_1 { kind = DISCONNECTED; discrete = TRUE; states = (High, Medium, Low); levels = (0.967421566101701, 0, -0.967421566101701); title = "POfMom"; whenchanged = 1523314216; }; node ConjunctiveObs { kind = NATURE; discrete = TRUE; chance = CHANCE; states = (Right, Wrong); inputs = (EnergyTransfer, POfMom); parents = (X_EnergyTransfer_2, X_POfMom_1); probs = // Right Wrong // EnergyTransfer POfMom (0.6888217, 0.3111782, // High High 0.2994328, 0.7005671, // High Medium 0.07623643, 0.9237636, // High Low 0.6888217, 0.3111782, // Medium High 0.2994328, 0.7005671, // Medium Medium 0.07623643, 0.9237636, // Medium Low 0.3111782, 0.6888217, // Low High 0.2994328, 0.7005671, // Low Medium 0.07623643, 0.9237636); // Low Low ; numcases = 10; title = "Conjunctive Observable"; comment = "A binary response whose probability of success is related to average of parent variables."; whenchanged = 1523316634; user U1 { link = "\"partialCredit\""; rules = "\"OffsetConjunctive\""; Q = "TRUE"; lnAlphas = "0"; betas = "structure(c(-0.5, 0.5), .Names = c(\"EnergyTransfer\", \"POfMom\" ))"; }; }; NodeSet onodes {Nodes = (ConjunctiveObs);}; NodeSet Observables {Nodes = (ConjunctiveObs);}; NodeSet pnodes {Nodes = (ConjunctiveObs);}; };