EvaluationOnElectionModelCLI.java

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package com.sri.ai.praise.evaluate.run.cli;

import static com.sri.ai.util.Util.list;
import static com.sri.ai.util.Util.mapIntoList;

import java.io.IOException;

import com.sri.ai.praise.lang.ModelLanguage;
import com.sri.ai.praise.model.common.io.ModelPage;
import com.sri.ai.praise.model.common.io.PagedModelContainer;
import com.sri.ai.util.collect.IntegerIterator;


/**
 * Command line interface for evaluating an election model as submitted to IJCAI 2016.
 * 
 * @author braz
 *
 */
public class EvaluationOnElectionModelCLI extends AbstractEvaluateCLI {
	
	protected PagedModelContainer makeModelsContainer(EvaluationArgs evaluationArgs) throws IOException {
		return 
				new PagedModelContainer(
						"election", 
						mapIntoList(new IntegerIterator(1, 4), (Integer i) -> 
						new ModelPage(
								ModelLanguage.HOGMv1,
								"election (multiplier " + i + ")",
								modelStringForDomainSize(500, i),
								list("likeIncumbent > likeChallenger"))));
	}

	/**
	 * @return
	 */
	private String modelStringForDomainSize(int domainSize, int multiplier) {
		domainSize *= multiplier;
		return "random terrorAttacks : 0..20;\r\n" + 
		"random newJobs : 0..100; // 100K\r\n" + 
		"random dow: 110..180;\r\n" + 
		"random economyIsPoor : Boolean;\r\n" + 
		"random economyIsGreat : Boolean;\r\n" + 
		"random attackPerception: Boolean;\r\n" + 
		"random likeIncumbent  : 0.." + domainSize + "; // 100M\r\n" + 
		"random likeChallenger : 0.." + domainSize + "; // 100M\r\n" + 
		"\r\n" + 
		"// P(terrorAttacks) =\r\n" + 
		"if terrorAttacks = 0 then 1/21 else 1/21; // uniform\r\n" + 
		"\r\n" + 
		"terrorAttacks = 1;\r\n" + 
		"dow = 170;\r\n" + 
		"//newJobs = 1;\r\n" + 
		"\r\n" + 
		"// P(newJobs) =\r\n" + 
		"if newJobs = 0 then 1/101 else 1/101; // uniform\r\n" + 
		"\r\n" + 
		"// P(dow) =\r\n" + 
		"if dow = 0 then 1/(180 - 110 + 1) else 1/(180 - 110 + 1); // uniform\r\n" + 
		"\r\n" + 
		"economyIsPoor <=> dow < 130 or newJobs < 30;\r\n" + 
		"\r\n" + 
		"economyIsGreat <=> dow > 160 or newJobs > 70;\r\n" + 
		"\r\n" + 
		"attackPerception <=> terrorAttacks > 4;\r\n" + 
		"\r\n" + 
		"// P(likeIncumbent) = \r\n" + 
		"if dow > 160 or newJobs > 70\r\n" + 
		"   then if likeIncumbent > " + new Double(0.7*domainSize).intValue() + " then 0.9/(" + domainSize + " + 1) else 0.1/(" + domainSize + " + 1)\r\n" + 
		"else\r\n" + 
		"if dow < 130 or newJobs < 30\r\n" + 
		"   then if likeIncumbent < " + new Double(0.5*domainSize).intValue() + " then 0.8/(" + domainSize + " + 1) else 0.2/(" + domainSize + " + 1)\r\n" + 
		"   else if terrorAttacks > 4\r\n" + 
		"        then if likeIncumbent < " + new Double(0.6*domainSize).intValue() + " then 0.9/(" + domainSize + " + 1) else 0.1/(" + domainSize + " + 1)\r\n" + 
		"        else if likeIncumbent = 0  then 1/(" + domainSize + " + 1) else 1/(" + domainSize + " + 1); // uniform\r\n" + 
		"\r\n" + 
		"// P(likeChallenger) =\r\n" + 
		"if likeChallenger = 0 then 1/(" + domainSize + " + 1) else 1/(" + domainSize + " + 1);";
	}

	public static void main(String[] args) throws Exception {
		EvaluationOnElectionModelCLI evaluator = new EvaluationOnElectionModelCLI();
		evaluator.run(args);
	}
}