Mock externalized params for Maslowian studies

src/main/scala/net/codingstuffs/abilene/intake/ParamRequisitionActor.scala

@@ -0,0 +1,9 @@
+package net.codingstuffs.abilene.intake
+
+object ParamRequisitionActor {
+
+}
+
+class ParamRequisitionActor {
+
+}

src/main/scala/net/codingstuffs/abilene/intake/mock/SocialBehavior.scala

@@ -0,0 +1,12 @@
+package net.codingstuffs.abilene.intake.mock
+
+object SocialBehavior {
+  val index_means_sd: Map[String, (Double, Double)] = Map(
+    "physio" -> (0, 0.2),
+    "safety" -> (0, 0.2),
+    "affiliation" -> (0, 0.2),
+    "mate_acquisition" -> (0, 0.2),
+    "mate_retention" -> (0, 0.2),
+    "parenting" -> (0, 0.2)
+  )
+}

src/main/scala/net/codingstuffs/abilene/simulation/Abilene.scala

@@ -10,7 +10,7 @@ import akka.pattern.ask
 import akka.util.Timeout
 import com.typesafe.config.ConfigFactory
 import net.codingstuffs.abilene.simulation.decision_making.generators.random.{Beta, Discrete, FoldedGaussian, Uniform}
-import net.codingstuffs.abilene.simulation.decision_making.models.{DecisionMakingModel, MaslowianAgent, StochasticAgent}
+import net.codingstuffs.abilene.simulation.decision_making.models.{DecisionMakingModel, MaslowianAgent, SimpleAgent}
 import net.codingstuffs.abilene.simulation.decision_making.models.simplified.ArithmeticRoundup.{EgalitarianRoundup, SelfishRoundup, WeightedRoundup}
 
 import scala.concurrent.duration.FiniteDuration

src/main/scala/net/codingstuffs/abilene/simulation/Member.scala

@@ -1,13 +1,15 @@
 package net.codingstuffs.abilene.simulation
 
 import akka.actor.{Actor, ActorLogging, ActorRef, Props}
+import net.codingstuffs.abilene.intake.mock.SocialBehavior
 import net.codingstuffs.abilene.simulation.Group.DataPoint
 import net.codingstuffs.abilene.simulation.decision_making.calculators.DecisionCalculator
 import net.codingstuffs.abilene.simulation.decision_making.generators.GroupParamGenerator
+import net.codingstuffs.abilene.simulation.decision_making.generators.random.FoldedGaussian
 import net.codingstuffs.abilene.simulation.decision_making.models.AgentParamGenerator.DecisionParams
 import net.codingstuffs.abilene.simulation.decision_making.models.{
   AgentBehaviorModel,
-  AgentParamGenerator, DecisionMakingModel, MaslowianAgent, StochasticAgent
+  AgentParamGenerator, DecisionMakingModel, MaslowianAgent, SimpleAgent
 }
 import net.codingstuffs.abilene.simulation.decision_making.models.maslowian.MaslowianParamGenerator
 
@@ -27,8 +29,8 @@ object Member {
 }
 
 class Member(group: ActorRef,
-  behaviorModel   : AgentBehaviorModel,
-  decisionModel   : DecisionMakingModel,
+  behaviorModel: AgentBehaviorModel,
+  decisionModel: DecisionMakingModel,
   randomGenerators: (Random, Random))
   extends Actor with ActorLogging {
 
@@ -45,19 +47,23 @@ class Member(group: ActorRef,
 
   implicit var params: DecisionParams = behaviorModel match {
 
-    case StochasticAgent => initialParams
+    case SimpleAgent => initialParams
+
+    case MaslowianAgent =>
+      val maslowianParams = new MaslowianParamGenerator(SocialBehavior.index_means_sd.map(
+        mapping => FoldedGaussian.GENERATOR(mapping._2._1, mapping._2._2).nextDouble
+      ).toList)
 
-    case MaslowianAgent => {
-      val maslowianParams = MaslowianParamGenerator.instance
       DecisionParams(
         (initialParams.selfParams._1,
+        //Homeostatic entropy calculated as inverse of a Maslowian sum
           initialParams.selfParams._2,
           (1 / maslowianParams.getMaslowianSum(name)) * initialParams.selfParams._3),
-        initialParams.groupPreferences,
-        initialParams.groupWeights)
-    }
+
+        initialParams.groupPreferences, initialParams.groupWeights)
   }
 
+
   private val knownPreferences = params.groupPreferences
 
   override def receive: Receive = onMessage(knownPreferences)

src/main/scala/net/codingstuffs/abilene/simulation/decision_making/generators/random/FoldedGaussian.scala

@@ -3,9 +3,10 @@ package net.codingstuffs.abilene.simulation.decision_making.generators.random
 import scala.util.Random
 
 object FoldedGaussian {
-  final def GENERATOR(mean: Double) = new FoldedGaussian(mean)
+  final def GENERATOR(mean: Double) = new FoldedGaussian(mean, 1)
+  final def GENERATOR(mean: Double, sd: Double) = new FoldedGaussian(mean, sd)
 }
 
-class FoldedGaussian(mean: Double) extends Random {
-  override def nextDouble: Double = math.abs(super.nextGaussian) + mean
+class FoldedGaussian(mean: Double, sd: Double) extends Random {
+  override def nextDouble: Double = math.abs(super.nextGaussian * sd) + mean
 }

src/main/scala/net/codingstuffs/abilene/simulation/decision_making/models/DecisionMakingModel.scala

@@ -6,4 +6,4 @@ abstract class DecisionMakingModel
 abstract class AgentBehaviorModel
 
 case object MaslowianAgent extends AgentBehaviorModel
-case object StochasticAgent extends AgentBehaviorModel
+case object SimpleAgent extends AgentBehaviorModel