use of aima.core.environment.map.MoveToAction in project aima-java by aimacode.
the class MapEnvironmentTest method testExecuteAction.
@Test
public void testExecuteAction() {
me.addAgent(ma, "D");
me.executeAction(ma, new MoveToAction("C"));
Assert.assertEquals(me.getAgentLocation(ma), "C");
}
use of aima.core.environment.map.MoveToAction in project aima-java by aimacode.
the class SolutionTesterTest method testMultiGoalProblem.
@Test
public void testMultiGoalProblem() throws Exception {
Map romaniaMap = new SimplifiedRoadMapOfPartOfRomania();
Problem<String, MoveToAction> problem = new GeneralProblem<String, MoveToAction>(SimplifiedRoadMapOfPartOfRomania.ARAD, MapFunctions.createActionsFunction(romaniaMap), MapFunctions.createResultFunction(), GoalTest.<String>isEqual(SimplifiedRoadMapOfPartOfRomania.BUCHAREST).or(GoalTest.isEqual(SimplifiedRoadMapOfPartOfRomania.HIRSOVA)), MapFunctions.createDistanceStepCostFunction(romaniaMap)) {
@Override
public boolean testSolution(Node<String, MoveToAction> node) {
return testGoal(node.getState()) && node.getPathCost() > 550;
// accept paths to goal only if their costs are above 550
}
};
SearchForActions<String, MoveToAction> search = new UniformCostSearch<>(new GraphSearch<>());
SearchAgent<String, MoveToAction> agent = new SearchAgent<>(problem, search);
Assert.assertEquals("[Action[name==moveTo, location==Sibiu], Action[name==moveTo, location==RimnicuVilcea], Action[name==moveTo, location==Pitesti], Action[name==moveTo, location==Bucharest], Action[name==moveTo, location==Urziceni], Action[name==moveTo, location==Hirsova]]", agent.getActions().toString());
Assert.assertEquals(6, agent.getActions().size());
Assert.assertEquals("15", agent.getInstrumentation().getProperty("nodesExpanded"));
Assert.assertEquals("1", agent.getInstrumentation().getProperty("queueSize"));
Assert.assertEquals("5", agent.getInstrumentation().getProperty("maxQueueSize"));
}
use of aima.core.environment.map.MoveToAction in project aima-java by aimacode.
the class GreedyBestFirstSearchTest method testAIMA3eFigure3_23_using_GraphSearch.
@Test
public void testAIMA3eFigure3_23_using_GraphSearch() throws Exception {
Map romaniaMap = new SimplifiedRoadMapOfPartOfRomania();
Problem<String, MoveToAction> problem = new GeneralProblem<>(SimplifiedRoadMapOfPartOfRomania.ARAD, MapFunctions.createActionsFunction(romaniaMap), MapFunctions.createResultFunction(), GoalTest.isEqual(SimplifiedRoadMapOfPartOfRomania.BUCHAREST), MapFunctions.createDistanceStepCostFunction(romaniaMap));
SearchForActions<String, MoveToAction> search = new GreedyBestFirstSearch<>(new GraphSearch<>(), MapFunctions.createSLDHeuristicFunction(SimplifiedRoadMapOfPartOfRomania.BUCHAREST, romaniaMap));
SearchAgent<String, MoveToAction> agent = new SearchAgent<>(problem, search);
Assert.assertEquals("[Action[name==moveTo, location==Sibiu], Action[name==moveTo, location==Fagaras], Action[name==moveTo, location==Bucharest]]", agent.getActions().toString());
Assert.assertEquals(3, agent.getActions().size());
Assert.assertEquals("3", agent.getInstrumentation().getProperty("nodesExpanded"));
Assert.assertEquals("4", agent.getInstrumentation().getProperty("queueSize"));
Assert.assertEquals("5", agent.getInstrumentation().getProperty("maxQueueSize"));
}
use of aima.core.environment.map.MoveToAction in project aima-java by aimacode.
the class LRTAStarAgentTest method testNormalSearch.
@Test
public void testNormalSearch() {
MapEnvironment me = new MapEnvironment(aMap);
OnlineSearchProblem<String, MoveToAction> problem = new GeneralProblem<>(null, MapFunctions.createActionsFunction(aMap), null, GoalTest.isEqual("F"), MapFunctions.createDistanceStepCostFunction(aMap));
LRTAStarAgent<String, MoveToAction> agent = new LRTAStarAgent<>(problem, MapFunctions.createPerceptToStateFunction(), h);
me.addAgent(agent, "A");
me.addEnvironmentView(new TestEnvironmentView());
me.stepUntilDone();
Assert.assertEquals("Action[name==moveTo, location==B]->Action[name==moveTo, location==A]->Action[name==moveTo, location==B]->Action[name==moveTo, location==C]->Action[name==moveTo, location==B]->Action[name==moveTo, location==C]->Action[name==moveTo, location==D]->Action[name==moveTo, location==C]->Action[name==moveTo, location==D]->Action[name==moveTo, location==E]->Action[name==moveTo, location==D]->Action[name==moveTo, location==E]->Action[name==moveTo, location==F]->Action[name==NoOp]->", envChanges.toString());
}
use of aima.core.environment.map.MoveToAction in project aima-java by aimacode.
the class OnlineDFSAgentTest method testNormalSearch.
@Test
public void testNormalSearch() {
MapEnvironment me = new MapEnvironment(aMap);
OnlineSearchProblem<String, MoveToAction> problem = new GeneralProblem<>(null, MapFunctions.createActionsFunction(aMap), null, GoalTest.isEqual("G"), MapFunctions.createDistanceStepCostFunction(aMap));
OnlineDFSAgent<String, MoveToAction> agent = new OnlineDFSAgent<>(problem, MapFunctions.createPerceptToStateFunction());
me.addAgent(agent, "A");
me.addEnvironmentView(new TestEnvironmentView());
me.stepUntilDone();
Assert.assertEquals("Action[name==moveTo, location==B]->Action[name==moveTo, location==A]->Action[name==moveTo, location==C]->Action[name==moveTo, location==A]->Action[name==moveTo, location==C]->Action[name==moveTo, location==A]->Action[name==moveTo, location==B]->Action[name==moveTo, location==D]->Action[name==moveTo, location==B]->Action[name==moveTo, location==E]->Action[name==moveTo, location==B]->Action[name==moveTo, location==E]->Action[name==moveTo, location==B]->Action[name==moveTo, location==D]->Action[name==moveTo, location==F]->Action[name==moveTo, location==D]->Action[name==moveTo, location==G]->Action[name==NoOp]->", envChanges.toString());
}
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