RepMod.java.wp - Revision history

Seoc at 22:42, 22 June 2006

2006-06-22T22:42:10Z

← Older revision		Revision as of 22:42, 22 June 2006
Line 1:		Line 1:
	[[WikiPeerCode]]		[[WikiPeerCode]]
	<pre>		<pre>/*
	/*
	* RepMod.java		* RepMod.java
	*		*
Line 7:		Line 6:
	* Modified June 19, 2006 18:20 by Jack		* Modified June 19, 2006 18:20 by Jack
	* Modified June 22, 2006 00:16 by Andrew		* Modified June 22, 2006 00:16 by Andrew
			* Modified June 22, 2006 16:40 by Jack
	*/		*/

Line 81:		Line 81:
	// the degree to weight the voter's historical opinion vs. new opinion		// the degree to weight the voter's historical opinion vs. new opinion
	public double histWeight;		public double histWeight;
	// weight of current reputation in new opinion
	public double repWeight;		// weight of current reputation in new opinion
			public double repWeight;

	// voteType, whether to use democratic or meritocratic votes		// voteType, whether to use democratic or meritocratic votes
	// 0 = democratic		// 0 = democratic
	// 1 = meritocratic		// 1 = meritocratic
	public int voteType;		//public int voteType;
	public int opScheme; // opinion scheme: 1 = old, 2 = new (AS rep feedback)
			// intVoteValue, the intrinsic value of an agent's vote
			// vote weight = intVoteValue + (1-intVoteValue)*reputation
			// now have continuous scale between democratic and meritocratic,
			// and also avoid divide by zero for zero rep agents voting.
			// 1 = democratic
			// 0 = complete meritocratic
			public double intVoteValue;

			//public int opScheme; // opinion scheme: 1 = old, 2 = new (AS rep feedback)


Line 121:		Line 131:
	parametersMap.put( "nT", "netType");		parametersMap.put( "nT", "netType");
	parametersMap.put( "pUI", "pajekUpdateInterval");		parametersMap.put( "pUI", "pajekUpdateInterval");
	parametersMap.put( "vT", "voteType");		//parametersMap.put( "vT", "voteType");
	parametersMap.put( "oS", "opScheme");		parametersMap.put( "iVV", "intVoteValue");
			//parametersMap.put( "oS", "opScheme");
	parametersMap.put( "hW", "histWeight");		parametersMap.put( "hW", "histWeight");
	parametersMap.put( "rW", "repWeight"); // still not sure what this does...		parametersMap.put( "rW", "repWeight"); // still not sure what this does...
Line 138:		Line 149:
	"histWeight", "noiseSlope",		"histWeight", "noiseSlope",
	"numTopAgents", // AS added for top agents param		"numTopAgents", // AS added for top agents param
	"opScheme", // AS for new opinion scheme		/"opScheme", // AS for new opinion scheme/
	"repWeight", // AS for new opinion scheme		"repWeight", // AS for new opinion scheme
			"intVoteValue",
	// these are from the super class:		// these are from the super class:
	"rDebug", "seed"};		"rDebug", "seed"};
Line 166:		Line 178:
	public int getNetType() {return netType;}		public int getNetType() {return netType;}

			/*
	public void setVoteType(int i) {		public void setVoteType(int i) {
	voteType = i;		voteType = i;
Line 171:		Line 184:
	}		}
	public int getVoteType() {return voteType;}		public int getVoteType() {return voteType;}

	public void setOpScheme(int i) {opScheme = i;}		*/
	public int getOpScheme() { return opScheme;}		public void setIntVoteValue(double i) {
			intVoteValue = i;
			CustomNode.setIntVoteValue(i);
			}

			public double getIntVoteValue() {return intVoteValue;}

			//public void setOpScheme(int i) {opScheme = i;}
			//public int getOpScheme() { return opScheme;}

	public void setHistWeight(double i) {		public void setHistWeight(double i) {
Line 214:		Line 235:
	CustomNode.setHistWeight(histWeight);		CustomNode.setHistWeight(histWeight);
	CustomNode.setRepWeight(repWeight); // AS for new op scheme		CustomNode.setRepWeight(repWeight); // AS for new op scheme
	CustomNode.setVoteType(voteType);		//CustomNode.setVoteType(voteType);
			CustomNode.setIntVoteValue(intVoteValue);
	CustomNode.setNoiseSlope(noiseSlope);		CustomNode.setNoiseSlope(noiseSlope);
			CustomNode.setModel(this);

	// setup the network class		// setup the network class
	net = new Network(numAgents, connectRadius, reconnectProb);		net = new Network(numAgents, connectRadius, reconnectProb);
	net.setModel(this);		net.setModel(this);

	~~CustomNode.setModel(this);~~

	// have the network class build the network		// have the network class build the network
Line 331:		Line 352:
	reconnectProb = 0.1;		reconnectProb = 0.1;

	voteType = 0;		//voteType = 0;
			intVoteValue = 1;
	histWeight = 0;		histWeight = 0;
	noiseSlope = 1;		noiseSlope = 1;
			repWeight = 0;


	// AS added for top agents param		// AS added for top agents param
Line 362:		Line 386:
	// own reputation.		// own reputation.
	public void stepNodes(){		public void stepNodes(){
	if (opScheme == 2) { // new opinion scheme		/*if (opScheme == 2) { // new opinion scheme
	for(CustomNode node : agentList) { // that's syntax I don't know...		for(CustomNode node : agentList) { // that's syntax I don't know...
	node.voteAll2();		node.voteAll2();
Line 369:		Line 393:
	node.calcReputation();		node.calcReputation();
	}		}
	} else {		} else {*/
	for(CustomNode node : agentList){		for(CustomNode node : agentList){
	node.voteAll();		node.voteAll();
	}		}
	for(CustomNode node : agentList){		for(CustomNode node : agentList){
	node.calcReputation();		node.calcReputation();
	}		}
	}		//}
	}		}

Line 587:		Line 611:

	}		}

	</pre>		</pre>

AndrewStout at 06:17, 22 June 2006

2006-06-22T06:17:23Z

← Older revision		Revision as of 06:17, 22 June 2006
Line 6:		Line 6:
	* Created on January 22, 2005, 6:11 PM		* Created on January 22, 2005, 6:11 PM
	* Modified June 19, 2006 18:20 by Jack		* Modified June 19, 2006 18:20 by Jack
			* Modified June 22, 2006 00:16 by Andrew
	*/		*/

Line 80:		Line 81:
	// the degree to weight the voter's historical opinion vs. new opinion		// the degree to weight the voter's historical opinion vs. new opinion
	public double histWeight;		public double histWeight;
			// weight of current reputation in new opinion
			public double repWeight;

	// voteType, whether to use democratic or meritocratic votes		// voteType, whether to use democratic or meritocratic votes
Line 85:		Line 88:
	// 1 = meritocratic		// 1 = meritocratic
	public int voteType;		public int voteType;
			public int opScheme; // opinion scheme: 1 = old, 2 = new (AS rep feedback)


Line 118:		Line 122:
	parametersMap.put( "pUI", "pajekUpdateInterval");		parametersMap.put( "pUI", "pajekUpdateInterval");
	parametersMap.put( "vT", "voteType");		parametersMap.put( "vT", "voteType");
			parametersMap.put( "oS", "opScheme");
	parametersMap.put( "hW", "histWeight");		parametersMap.put( "hW", "histWeight");
			parametersMap.put( "rW", "repWeight"); // still not sure what this does...
	parametersMap.put( "nS", "noiseSlope");		parametersMap.put( "nS", "noiseSlope");
	parametersMap.put( "nTA", "numTopAgents");		parametersMap.put( "nTA", "numTopAgents");
Line 132:		Line 138:
	"histWeight", "noiseSlope",		"histWeight", "noiseSlope",
	"numTopAgents", // AS added for top agents param		"numTopAgents", // AS added for top agents param
			"opScheme", // AS for new opinion scheme
			"repWeight", // AS for new opinion scheme
	// these are from the super class:		// these are from the super class:
	"rDebug", "seed"};		"rDebug", "seed"};
Line 163:		Line 171:
	}		}
	public int getVoteType() {return voteType;}		public int getVoteType() {return voteType;}

			public void setOpScheme(int i) {opScheme = i;}
			public int getOpScheme() { return opScheme;}

	public void setHistWeight(double i) {		public void setHistWeight(double i) {
Line 169:		Line 180:
	}		}
	public double getHistWeight() {return histWeight;}		public double getHistWeight() {return histWeight;}

			public void setRepWeight(double w) {
			repWeight = w;
			CustomNode.setRepWeight(w);
			}
			public double getRepWeight() {return repWeight;}

	public void setNoiseSlope(double i) {		public void setNoiseSlope(double i) {
Line 196:		Line 213:
	// set static parameters in node class		// set static parameters in node class
	CustomNode.setHistWeight(histWeight);		CustomNode.setHistWeight(histWeight);
			CustomNode.setRepWeight(repWeight); // AS for new op scheme
	CustomNode.setVoteType(voteType);		CustomNode.setVoteType(voteType);
	CustomNode.setNoiseSlope(noiseSlope);		CustomNode.setNoiseSlope(noiseSlope);
Line 344:		Line 362:
	// own reputation.		// own reputation.
	public void stepNodes(){		public void stepNodes(){
	for(CustomNode node : agentList){		if (opScheme == 2) { // new opinion scheme
	node.voteAll();		for(CustomNode node : agentList) { // that's syntax I don't know...
	}		node.voteAll2();
	for(CustomNode node : agentList){		}
	node.calcReputation();		for(CustomNode node : agentList) {
	}		node.calcReputation();
			}
			} else {
			for(CustomNode node : agentList){
			node.voteAll();
			}
			for(CustomNode node : agentList){
			node.calcReputation();
			}
			}
	}		}

Line 560:		Line 587:

	}		}

	</pre>		</pre>

Seoc at 00:20, 20 June 2006

2006-06-20T00:20:15Z

@@ Line 5: / Line 5: @@
+  *
   * Created on January 22, 2005, 6:11 PM
-  * Modified June 18, 2006 13:55 by Jack
+  * Modified June 19, 2006 18:20 by Jack
   */
@@ Line 220: / Line 218: @@
          System.out.printf("Build Model End\n");
+     }
@@ Line 318: / Line 327: @@
          super.setup();	// Reads in input values
 	schedule = new Schedule (1);
+     }
@@ Line 562: / Line 560: @@
+}
 </pre>

Seoc at 13:55, 19 June 2006

2006-06-19T13:55:15Z

← Older revision		Revision as of 13:55, 19 June 2006
Line 7:		Line 7:
	* Modified June 18, 2006 13:55 by Jack		* Modified June 18, 2006 13:55 by Jack
	* Modified slightly 6-18-06 23:10 by Andrew		* Modified slightly 6-18-06 23:10 by Andrew
			* ReModified very slightly June 19 07:55 by Jack
	*/		*/

Line 121:		Line 122:
	parametersMap.put( "hW", "histWeight");		parametersMap.put( "hW", "histWeight");
	parametersMap.put( "nS", "noiseSlope");		parametersMap.put( "nS", "noiseSlope");
	~~// Andrew wonders if something needs to go here for top agents param~~,		parametersMap.put( "nTA", "numTopAgents");
	~~// but doesn't know what this is for~~
	}		}

Line 438:		Line 438:
	String s;		String s;
	s = String.format("%f %f %f",		s = String.format("%f %f %f",
	schedule.getCurrentTimeDouble(), calcTopRepSkills(5),		schedule.getCurrentTimeDouble(), calcTopRepSkills(numTopAgents),
	calcRepSkillMatch());		calcRepSkillMatch());

AndrewStout at 05:16, 19 June 2006

2006-06-19T05:16:40Z

← Older revision		Revision as of 05:16, 19 June 2006
Line 1:		Line 1:
	[[WikiPeerCode]]		[[WikiPeerCode]]
	<pre>/*		<pre>
			/*
	* RepMod.java		* RepMod.java
	*		*
	* Created on January 22, 2005, 6:11 PM		* Created on January 22, 2005, 6:11 PM
	* Modified June 18, 2006 13:55 by Jack		* Modified June 18, 2006 13:55 by Jack
			* Modified slightly 6-18-06 23:10 by Andrew
	*/		*/

Line 88:		Line 90:
	// the (negative of) slope of skill vs variance of noise		// the (negative of) slope of skill vs variance of noise
	public double noiseSlope;		public double noiseSlope;

			public int numTopAgents = 5; // Andrew hacking TopRep calculation



Line 116:		Line 121:
	parametersMap.put( "hW", "histWeight");		parametersMap.put( "hW", "histWeight");
	parametersMap.put( "nS", "noiseSlope");		parametersMap.put( "nS", "noiseSlope");
			// Andrew wonders if something needs to go here for top agents param,
			// but doesn't know what this is for
	}		}

Line 126:		Line 133:
	"reconnectProb", "netType", "voteType",		"reconnectProb", "netType", "voteType",
	"histWeight", "noiseSlope",		"histWeight", "noiseSlope",
			"numTopAgents", // AS added for top agents param
	// these are from the super class:		// these are from the super class:
	"rDebug", "seed"};		"rDebug", "seed"};
Line 174:		Line 182:
	public int getPajekUpdateInterval() {return pajekUpdateInterval;}		public int getPajekUpdateInterval() {return pajekUpdateInterval;}
	public void setPajekUpdateInterval(int i) {pajekUpdateInterval = i;}		public void setPajekUpdateInterval(int i) {pajekUpdateInterval = i;}
			// AS added for top agents param
			public int getNumTopAgents() {return numTopAgents;}
			public void setNumTopAgents(int n) {numTopAgents = n;}

	//////////////////////////////////////////////////////////		//////////////////////////////////////////////////////////
Line 297:		Line 308:
	noiseSlope = 1;		noiseSlope = 1;

			// AS added for top agents param
			numTopAgents = 5;

	CustomNode.resetNextID();		CustomNode.resetNextID();
	agentList = new ArrayList (numAgents);		agentList = new ArrayList (numAgents);
Line 379:		Line 393:
	// outputs: double, the reputation of the top x agents		// outputs: double, the reputation of the top x agents
	// This calculates the sum of the skils of the top x agents		// This calculates the sum of the skils of the top x agents
			// AS: could be changed to just use numTopAgents directly,
			// but I'm gonna change it at call time only--
			// lower impact if I fuck something up.
	public double calcTopRepSkills(int x){		public double calcTopRepSkills(int x){
	ArrayList<CustomNode> tempList = new ArrayList<CustomNode>();		ArrayList<CustomNode> tempList = new ArrayList<CustomNode>();
Line 545:		Line 562:

	}		}

	</pre>		</pre>

Seoc at 19:54, 18 June 2006

2006-06-18T19:54:09Z

← Older revision		Revision as of 19:54, 18 June 2006
Line 1:		Line 1:
	[[WikiPeerCode]]		[[WikiPeerCode]]
	<pre>		<pre>/*
	/*
	* RepMod.java		* RepMod.java
	*		*
	* Created on January 22, 2005, 6:11 PM		* Created on January 22, 2005, 6:11 PM
	* Modified June 18, 2006 13:20 by Jack		* Modified June 18, 2006 13:55 by Jack
	*/		*/

Line 85:		Line 84:
	// 1 = meritocratic		// 1 = meritocratic
	public int voteType;		public int voteType;


			// the (negative of) slope of skill vs variance of noise
			public double noiseSlope;


	/** Creates a new instance of RepMod */		/** Creates a new instance of RepMod */
Line 111:		Line 115:
	parametersMap.put( "vT", "voteType");		parametersMap.put( "vT", "voteType");
	parametersMap.put( "hW", "histWeight");		parametersMap.put( "hW", "histWeight");
			parametersMap.put( "nS", "noiseSlope");
	}		}

Line 120:		Line 125:
	String[] params = { "numAgents", "connectRadius",		String[] params = { "numAgents", "connectRadius",
	"reconnectProb", "netType", "voteType",		"reconnectProb", "netType", "voteType",
	"histWeight",		"histWeight", "noiseSlope",
	// these are from the super class:		// these are from the super class:
	"rDebug", "seed"};		"rDebug", "seed"};
Line 159:		Line 164:
	public double getHistWeight() {return histWeight;}		public double getHistWeight() {return histWeight;}

			public void setNoiseSlope(double i) {
			noiseSlope = i;
			CustomNode.setNoiseSlope(i);
			}
			public double getNoiseSlope() {return noiseSlope;}

	public int getUpdateInterval() {return updateInterval;}		public int getUpdateInterval() {return updateInterval;}
Line 178:		Line 188:
	CustomNode.setHistWeight(histWeight);		CustomNode.setHistWeight(histWeight);
	CustomNode.setVoteType(voteType);		CustomNode.setVoteType(voteType);
			CustomNode.setNoiseSlope(noiseSlope);

	// setup the network class		// setup the network class
Line 273:		Line 284:
	// These are overwritten by inputted values, if any		// These are overwritten by inputted values, if any
	numAgents = 64;		numAgents = 64;
	updateInterval = ~~1000~~;		updateInterval = 1;
	pajekUpdateInterval = ~~5000~~;		pajekUpdateInterval = 1000000;
	worldXSize = 400;		worldXSize = 400;
	worldYSize = 400;		worldYSize = 400;
Line 284:		Line 295:
	voteType = 0;		voteType = 0;
	histWeight = 0;		histWeight = 0;
			noiseSlope = 1;

	CustomNode.resetNextID();		CustomNode.resetNextID();
Line 408:		Line 420:
	public void stepReport () {		public void stepReport () {
	String s;		String s;
	s = String.format("%f",		s = String.format("%f %f %f",
	schedule.getCurrentTimeDouble());		schedule.getCurrentTimeDouble(), calcTopRepSkills(5),
			calcRepSkillMatch());

	//writeLineToReportFile ( "<stepreport>" + s + "</stepreport>" );		//writeLineToReportFile ( "<stepreport>" + s + "</stepreport>" );
Line 430:		Line 443:
	writeLineToReportFile( "</comment>" );		writeLineToReportFile( "</comment>" );

	writeLineToPlaintextReportFile( " #time" );		writeLineToPlaintextReportFile( " #time topSkill RepSkillMatch" );
	}		}

Seoc at 19:19, 18 June 2006

2006-06-18T19:19:48Z

← Older revision		Revision as of 19:19, 18 June 2006
Line 5:		Line 5:
	*		*
	* Created on January 22, 2005, 6:11 PM		* Created on January 22, 2005, 6:11 PM
	* Modified June 18, 2006 12:45 by Jack		* Modified June 18, 2006 13:20 by Jack
	*/		*/

Line 147:		Line 147:
	public int getNetType() {return netType;}		public int getNetType() {return netType;}

	public void setVoteType(int i) {voteType = i;}		public void setVoteType(int i) {
			voteType = i;
			CustomNode.setVoteType(i);
			}
	public int getVoteType() {return voteType;}		public int getVoteType() {return voteType;}

	public void setHistWeight(double i) {histWeight = i;}		public void setHistWeight(double i) {
			histWeight = i;
			CustomNode.setHistWeight(i);
			}
	public double getHistWeight() {return histWeight;}		public double getHistWeight() {return histWeight;}

Line 305:		Line 311:
	public void step(){		public void step(){
	stepNodes();		stepNodes();
	~~calcTopRepSkills(5);~~
	}		}

Line 369:		Line 374:
	CustomNode node;		CustomNode node;
	for (int i = numAgents -x; i < numAgents; i++){		for (int i = numAgents -x; i < numAgents; i++){
	node = ~~agentList~~.get(i);		node = tempList.get(i);
	skillSum += node.getSkill();		skillSum += node.getSkill();
	}		}
Line 527:		Line 532:

	}		}

	</pre>		</pre>

Seoc at 18:47, 18 June 2006

2006-06-18T18:47:12Z

← Older revision		Revision as of 18:47, 18 June 2006
Line 1:		Line 1:
	[[WikiPeerCode]]		[[WikiPeerCode]]
	<pre>/*		<pre>
			/*
	* RepMod.java		* RepMod.java
	*		*
	* Created on January 22, 2005, 6:11 PM		* Created on January 22, 2005, 6:11 PM
	* Modified June 17, 2006 17:20 by Jack		* Modified June 18, 2006 12:45 by Jack
	*/		*/

Line 365:		Line 366:
	tempList.addAll(agentList);		tempList.addAll(agentList);
	Collections.sort(tempList, compNodes);		Collections.sort(tempList, compNodes);
			double skillSum = 0;
			CustomNode node;
			for (int i = numAgents -x; i < numAgents; i++){
			node = agentList.get(i);
			skillSum += node.getSkill();
			}
			return skillSum;
			}

	for(CustomNode ~~agent~~ : ~~tempList~~){		//////////////////////////////////////////////////////////////
			// calcRepSkillMatch
	~~System.out.printf~~(~~"Agent %d has rep %f\n", agent~~.~~getID~~()~~, agent~~.~~getReputation~~());		// inputs: none
			// outputs: double, the fraction of cases that a Rep and Skill match
			// (High/Low)
			public double calcRepSkillMatch(){
			double count = 0;
			for(CustomNode node : agentList){
			if (node.getReputation() <= 0.5 & node.getSkill() <= 0.5){
			count ++;
			}
			else if (node.getReputation() > 0.5 & node.getSkill() > 0.5){
			count ++;
			}
	}		}
	return 0;		return count / ((double) numAgents);
	}		}


	///////////////////////////////////////////////////////////////////////		///////////////////////////////////////////////////////////////////////

Seoc at 23:23, 17 June 2006

2006-06-17T23:23:36Z

Show changes

Seoc at 22:42, 15 June 2006

2006-06-15T22:42:03Z

← Older revision		Revision as of 22:42, 15 June 2006
Line 1:		Line 1:
			[[WikiPeerCode]]
	<pre>		<pre>
	/*		/*