public AAT_Algo(AlgoEnum algo_enum, I_GeneratingCanWeights gcw, I_EstimatingAwaRates ear, I_SelectingWeiStrategies sws, I_PlayOneStep pos)
{
this.GeneCanWeights = gcw;
this.EstAwaRates = ear;
this.SlctWeiStrategies = sws;
this.MyPlayOneStep = pos;
this.MyAlgoEnum = algo_enum;
this.MyOSMLog = new OSMLog();
}
void MakeFile(NetworkEnum n_enum, int node_num, int n_seed, AlgoEnum a_enum)
{
var di = new DirectoryInfo(this.OutputFolderPath);
string condition = "_nenum." + n_enum.ToString() + "_node." + node_num.ToString() + "_aenum." + a_enum.ToString();
var condi_folder = di + "\\" + condition;
OutputLog.SafeCreateDirectory(condi_folder);
this.OutputRoundFilePath = OutputLog.SafeCreateCSV(new DirectoryInfo(condi_folder), "RoundOpinion" + condition + "_nseed." + n_seed.ToString());
}
public IWT_Algo(AlgoEnum algo_enum, I_GeneratingCanWeights gcw, I_EstimatingAwaRates ear, I_SelectingWeiStrategies sws, I_PlayOneStep pos, I_SurpriseIndicatorSet sur_indi_set)
{
this.GeneCanWeights = gcw;
this.EstAwaRates = ear;
this.SlctWeiStrategies = sws;
this.MyPlayOneStep = pos;
this.MyAlgoEnum = algo_enum;
this.MyOSMLog = new OSMLog();
this.SurpriseIndicatorSet = sur_indi_set;
}
public OrdersResponse GetMyOrders(ServersLocation location, AlgoEnum algo)
{
var postData = new object[]
{
"location=" + (int)location,
"algo=" + (int)algo
};
var data = GetData <NiceHashResponse <OrdersResponse> >(PublicApiCommands.GetOrders, postData);
return(data.Result);
}
void Test()
{
this.osm_setting = new OSMSetting(ExperimentType.AAT_SW_Normal_Random_Exponential);
int agent_size = osm_setting.agent_size;
int dim = osm_setting.dim;
int correct_dim = osm_setting.correct_dim;
int malicious_dim = osm_setting.malicious_dim;
AlgoEnum algo = osm_setting.algo;
double targeth = osm_setting.targeth;
double common_weight = osm_setting.common_weight;
double common_curiocity = osm_setting.common_curiocity;
double sensor_weight = osm_setting.sensor_weight;
double dist_weight = osm_setting.dist_weight;
double malicious_dist_weight = osm_setting.malicious_dist_weight;
int sensor_size = osm_setting.sensor_size;
//int malicious_sensor_size = (int)(0.04 * agent_size);
int malicious_sensor_size = osm_setting.malicious_sensor_size;
var op_form_threshold = osm_setting.op_form_threshold;
int sample_size = osm_setting.sample_size;
int change_round = osm_setting.change_round;
bool bad_sensor_mode = osm_setting.bad_sensor_mode;
int opinion_share_num = osm_setting.opinion_share_num;
bool is_add_share_only_community = osm_setting.add_share_only_community;
EnvDistributionEnum env_distribution = osm_setting.env_distribution;
BeliefUpdateFunctionEnum belief_update = osm_setting.belief_update;
var belief_updater = new BeliefUpdater(belief_update).SetSensorWeightMode(SensorWeightEnum.DependSensorRate);
GraphGeneratorBase graph_generator;
switch (osm_setting.select_graph)
{
case GraphEnum.WS:
graph_generator = new WS_GraphGenerator().SetNodeSize(agent_size).SetNearestNeighbors(6).SetRewireP(0.01);
break;
//case GraphEnum.PowerLawCluster:
//graph_generator = new PC_GraphGenerator().SetNodeSize(500).SetRandomEdges(3).SetAddTriangleP(0.1);
// break;
case GraphEnum.BA:
graph_generator = new BA_GraphGenerator().SetNodeSize(agent_size).SetAttachEdges(2);
break;
case GraphEnum.Grid2D:
graph_generator = new Grid2D_GraphGenerator().SetNodeSize(agent_size);
break;
//case GraphEnum.ER:
//graph_generator = new ER_GraphGenerator().SetNodeSize(agent_size).SetEdgeCreateP(0.01);
//break;
case GraphEnum.LFR:
graph_generator = new LFR_GraphGenerator().SetNodeSize(agent_size);
break;
default:
graph_generator = new LFR_GraphGenerator().SetNodeSize(agent_size);
break;
}
graph_generator.SetOsmSetting(osm_setting);
var pb = new ExtendProgressBar(100);
var graph = graph_generator.Generate(0, pb);
var layout = new KamadaKawai_LayoutGenerator(graph).Generate(pb);
//var layout = new Circular_LayoutGenerator(graph).Generate();
//LFRの時のみ
List <List <int> > communityList = new List <List <int> >();
if (osm_setting.select_graph == GraphEnum.LFR)
{
communityList = graph_generator.GetCommunity();
}
var init_belief_gene = new InitBeliefGenerator()
.SetInitBeliefMode(mode: InitBeliefMode.NormalNarrow);
//.SetInitBeliefMode(mode: InitBeliefMode.NormalWide);
var subject_test = new OpinionSubject("test", dim);
var sample_agent_test = new SampleAgent()
.SetInitBeliefGene(init_belief_gene)
.SetThreshold(op_form_threshold)
.SetSubject(subject_test)
.SetInitOpinion(Vector <double> .Build.Dense(dim, 0.0));
var sensor_gene = new SensorGenerator()
// .SetSensorSize((int)5);
.SetSensorSize(sensor_size, malicious_sensor_size);
int agent_gene_seed = 11;//4
var agent_gene_rand = new ExtendRandom(agent_gene_seed);
var agent_network = new AgentNetwork()
.SetRand(agent_gene_rand)
.GenerateNetworkFrame(graph)
//.ApplySampleAgent(sample_agent_1, mode: SampleAgentSetMode.RandomSetRate, random_set_rate: 0.5)
//.ApplySampleAgent(sample_agent_2, mode: SampleAgentSetMode.RemainSet)
.ApplySampleAgent(sample_agent_test, mode: SampleAgentSetMode.RemainSet)
.SetBadSensorMode(osm_setting.bad_sensor_mode)
.SetSensorArrange(osm_setting.sensor_arrange)
.SetCommnityList(communityList)
.GenerateSensor(sensor_gene)
.SetLayout(layout);
var bad_community_index = agent_network.GetBadCommunityIndex();
int update_step_seed = 1;
var update_step_rand = new ExtendRandom(update_step_seed);
OSMBase osm = new OSM_Only();
switch (algo)
{
case AlgoEnum.AAT:
var osm_aat = new AAT_OSM();
osm_aat.SetTargetH(targeth);
osm = osm_aat;
break;
default:
break;
}
osm.SetRand(update_step_rand);
osm.SetAgentNetwork(agent_network, opinion_share_num);
var subject_mgr_dic = new Dictionary <int, SubjectManager>();
subject_mgr_dic.Add(0, new SubjectManagerGenerator()
.Generate(subject_test, dist_weight, correct_dim, sensor_weight, env_distribution, malicious_dim, malicious_dist_weight));
//for (int i = 0; i < 1; i++)
//{
// subject_mgr_dic.Add(i * change_round, new SubjectManagerGenerator().Generate(subject_test, dist_weight, i % dim, sensor_rate, EnvDistributionEnum.Turara));
//}
osm.SetSubjectManagerDic(subject_mgr_dic);
osm.SetInitWeightsMode(mode: CalcWeightMode.FavorMyOpinion);
osm.SetOpinionIntroInterval(osm_setting.op_intro_interval);
osm.SetOpinionIntroRate(osm_setting.op_intro_rate);
//osm.SetSensorCommonWeight(0.70);
osm.SetBeliefUpdater(belief_updater);
osm.SetAddShareCommunityOnly(is_add_share_only_community);
osm.SetStopRound(osm_setting.stop_rounds);
this.MyOSM = osm;
this.MyAnimationForm.RegistOSM(osm, osm_setting.opinion_share_num, communityList, bad_community_index);
}
public void LoadData(ServersLocation location, AlgoEnum algo, double profitablePrice)
{
var tuple = new Tuple <ServersLocation, AlgoEnum, double>(location, algo, profitablePrice);
gridControl1.RunLoadDataAsync(tuple);
}
public OSMSetting(ExperimentType experiment_type)
{
common_weight = 0.5;
common_curiocity = 0.5;
dist_weight = 0.5;
malicious_dist_weight = 0; //0.8
//int malicious_sensor_size = (int)(0.04 * agent_size);
sample_size = 1;
change_round = 0;
dim = 2;
correct_dim = 0;
malicious_dim = 1;
switch (experiment_type)
{
case ExperimentType.OSM_LFR_Bad_Each_Exponential:
agent_size = 100;
algo = AlgoEnum.OSMonly;
targeth = 0.9;
sensor_weight = 0.8; //0.8
malicious_sensor_size = 0;
op_form_threshold = 0.9;
bad_sensor_mode = true;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Exponential;
belief_update = BeliefUpdateFunctionEnum.Bayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.OSM_LFR_Bad_Each_Shitei_SameOpinionBayse:
agent_size = 100;
algo = AlgoEnum.OSMonly;
targeth = 0.9;
sensor_weight = 0.8; //0.8
malicious_sensor_size = 0;
op_form_threshold = 0.9;
bad_sensor_mode = true;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Shitei;
belief_update = BeliefUpdateFunctionEnum.SameOpinionAdjustBayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.OSM_LFR_Normal_Each_Exponential:
agent_size = 100;
algo = AlgoEnum.OSMonly;
targeth = 0.9;
sensor_weight = 0.8; //0.8
op_form_threshold = 0.9;
bad_sensor_mode = true;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Exponential;
belief_update = BeliefUpdateFunctionEnum.Bayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.AAT_LFR_Bad_Each_Shitei:
agent_size = 100;
algo = AlgoEnum.AAT;
targeth = 0.9;
sensor_weight = 0.55; //0.8
op_form_threshold = 0.9;
sample_size = 1;
change_round = 0;
bad_sensor_mode = true;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Shitei;
belief_update = BeliefUpdateFunctionEnum.Bayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.AAT_LFR_Bad_Each_Exponential:
agent_size = 100;
algo = AlgoEnum.AAT;
targeth = 0.9;
sensor_weight = 0.8; //0.8
op_form_threshold = 0.9;
bad_sensor_mode = true;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Exponential;
belief_update = BeliefUpdateFunctionEnum.Bayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.AAT_LFR_Bad_Each_Exponential_SameOpinionBayse:
agent_size = 100;
algo = AlgoEnum.AAT;
targeth = 0.7;
sensor_weight = 0.8; //0.8
op_form_threshold = 0.9;
bad_sensor_mode = true;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Exponential;
belief_update = BeliefUpdateFunctionEnum.SameOpinionAdjustBayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.AAT_LFR_Bad_Each_Shitei_SameOpinionBayse:
agent_size = 100;
algo = AlgoEnum.AAT;
targeth = 0.8;
sensor_weight = 0.8; //0.8
op_form_threshold = 0.9;
bad_sensor_mode = true;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Exponential;
belief_update = BeliefUpdateFunctionEnum.SameOpinionAdjustBayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.AAT_LFR_Normal_Each_Shitei:
agent_size = 100;
algo = AlgoEnum.AAT;
targeth = 0.9;
sensor_weight = 0.55; //0.8
op_form_threshold = 0.8;
bad_sensor_mode = false;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Shitei;
belief_update = BeliefUpdateFunctionEnum.Bayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.AAT_LFR_Normal_Each_Exponential:
agent_size = 100;
algo = AlgoEnum.AAT;
targeth = 0.9;
sensor_weight = 0.8; //0.8
op_form_threshold = 0.9;
bad_sensor_mode = false;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Each;
env_distribution = EnvDistributionEnum.Exponential;
belief_update = BeliefUpdateFunctionEnum.Bayse;
add_share_only_community = false;
select_graph = GraphEnum.LFR;
break;
case ExperimentType.AAT_SW_Normal_Random_Exponential:
agent_size = 100;
algo = AlgoEnum.AAT;
targeth = 0.9;
sensor_weight = 0.8; //0.8
op_form_threshold = 0.9;
bad_sensor_mode = false;
opinion_share_num = 1;
sensor_arrange = SensorArrangementEnum.Random;
env_distribution = EnvDistributionEnum.Exponential;
belief_update = BeliefUpdateFunctionEnum.Bayse;
add_share_only_community = false;
select_graph = GraphEnum.Grid2D;
break;
}
sensor_size = (int)(0.05 * agent_size);
}
void Test()
{
int agent_size = 200;
int dim = 3;
int correct_dim = 0;
int malicious_dim = 1;
AlgoEnum algo = AlgoEnum.SWTkai;
double targeth = 0.80;
double common_weight = 0.5;
double common_curiocity = 0.5;
double sensor_rate = 0.8;
double dist_weight = 0.5;
double malicious_dist_weight = 0.8;
int sensor_size = (int)(0.05 * agent_size);
//int malicious_sensor_size = (int)(0.04 * agent_size);
int malicious_sensor_size = 0;
var op_form_threshold = 0.8;
int sample_size = 10;
int change_round = 0;
var belief_updater = new BeliefUpdater().SetSensorWeightMode(SensorWeightEnum.DependSensorRate);
GraphGeneratorBase graph_generator;
//graph_generator = new PC_GraphGenerator().SetNodeSize(500).SetRandomEdges(3).SetAddTriangleP(0.1);
//graph_generator = new WS_GraphGenerator().SetNodeSize(agent_size).SetNearestNeighbors(6).SetRewireP(0.01);
//graph_generator = new BA_GraphGenerator().SetNodeSize(agent_size).SetAttachEdges(2);
graph_generator = new Grid2D_GraphGenerator().SetNodeSize(agent_size);
//graph_generator = new ER_GraphGenerator().SetNodeSize(agent_size).SetEdgeCreateP(0.01);
var pb = new ExtendProgressBar(100);
var graph = graph_generator.Generate(0, pb);
var layout = new KamadaKawai_LayoutGenerator(graph).Generate(pb);
//var layout = new Circular_LayoutGenerator(graph).Generate();
var init_belief_gene = new InitBeliefGenerator()
.SetInitBeliefMode(mode: InitBeliefMode.NormalNarrow);
//.SetInitBeliefMode(mode: InitBeliefMode.NormalWide);
var subject_test = new OpinionSubject("test", dim);
var sample_agent_test = new SampleAgent()
.SetInitBeliefGene(init_belief_gene)
.SetThreshold(op_form_threshold)
.SetSubject(subject_test)
.SetInitOpinion(Vector <double> .Build.Dense(dim, 0.0));
var sensor_gene = new SensorGenerator()
// .SetSensorSize((int)5);
.SetSensorSize(sensor_size, malicious_sensor_size);
int agent_gene_seed = 4;
var agent_gene_rand = new ExtendRandom(agent_gene_seed);
var agent_network = new AgentNetwork()
.SetRand(agent_gene_rand)
.GenerateNetworkFrame(graph)
//.ApplySampleAgent(sample_agent_1, mode: SampleAgentSetMode.RandomSetRate, random_set_rate: 0.5)
//.ApplySampleAgent(sample_agent_2, mode: SampleAgentSetMode.RemainSet)
.ApplySampleAgent(sample_agent_test, mode: SampleAgentSetMode.RemainSet)
.GenerateSensor(sensor_gene)
.SetLayout(layout);
int update_step_seed = 0;
var update_step_rand = new ExtendRandom(update_step_seed);
OSMBase osm = new OSM_Only();
switch (algo)
{
case AlgoEnum.AAT:
var osm_aat = new AAT_OSM();
osm_aat.SetTargetH(targeth);
osm = osm_aat;
break;
case AlgoEnum.AATG:
var osm_aatg = new AATG_OSM();
osm_aatg.SetTargetH(targeth);
osm = osm_aatg;
break;
case AlgoEnum.AATfix:
var osm_aatfix = new AATfix_OSM();
osm_aatfix.SetTargetH(targeth);
osm = osm_aatfix;
break;
case AlgoEnum.OSMonly:
var osm_only = new OSM_Only();
osm_only.SetCommonWeight(common_weight);
osm = osm_only;
break;
case AlgoEnum.IWTori:
var osm_iwtori = new IWTori_OSM();
osm_iwtori.SetCommonCuriocity(common_curiocity);
osm_iwtori.SetTargetH(targeth);
osm = osm_iwtori;
break;
case AlgoEnum.AATparticle:
var osm_aatpar = new AATparticle_OSM();
osm_aatpar.SetSampleSize(sample_size);
osm_aatpar.SetTargetH(targeth);
osm = osm_aatpar;
break;
case AlgoEnum.AATwindow:
var osm_window = new AATwindow_OSM();
osm_window.SetTargetH(targeth);
osm_window.SetAwaRateWindowSize(20);
osm = osm_window;
break;
case AlgoEnum.AATwindowparticle:
var osm_window_particle = new AATwindow_particle_OSM();
osm_window_particle.SetTargetH(targeth);
osm_window_particle.SetAwaRateWindowSize(20);
osm_window_particle.SetSampleSize(10);
osm = osm_window_particle;
break;
case AlgoEnum.AATfunction:
var osm_function = new AATfunction_OSM();
osm_function.SetTargetH(targeth);
osm_function.SetAwaRateWindowSize(100);
osm = osm_function;
break;
case AlgoEnum.AATfunctioniwt:
var osm_function_iwt = new AATfunction_iwt_OSM();
osm_function_iwt.SetCommonCuriocity(common_curiocity);
osm_function_iwt.SetTargetH(targeth);
osm_function_iwt.SetAwaRateWindowSize(100);
osm = osm_function_iwt;
break;
case AlgoEnum.SWT:
var osm_aat_info = new SWT_OSM();
osm_aat_info.SetTargetH(targeth);
osm_aat_info.SetAwaRateWindowSize(50);
osm_aat_info.SetLinkInfoValueWindowSize(50);
osm_aat_info.SetInfoWeightRate(1.0);
osm = osm_aat_info;
break;
case AlgoEnum.SWTstep:
var osm_aat_info_step = new SWT_step_OSM();
osm_aat_info_step.SetTargetH(targeth);
osm_aat_info_step.SetAwaRateWindowSize(100);
osm_aat_info_step.SetLinkInfoValueWindowSize(100);
osm_aat_info_step.SetInfoWeightRate(1.0);
osm_aat_info_step.SetInfoLearningRate(0.2);
osm = osm_aat_info_step;
break;
case AlgoEnum.SWTkai:
var osm_swtkai = new SWTkai_OSM();
osm_swtkai.SetCommonWeight(0.5);
osm_swtkai.SetLinkInfoValueWindowSize(1000);
osm = osm_swtkai;
break;
case AlgoEnum.GDWTsigW:
var osm_gdwt_sigw = new GDWT_OSM();
osm_gdwt_sigw.SetTargetH(targeth);
osm_gdwt_sigw.SetAwaRateWindowSize(100);
osm_gdwt_sigw.SetEstimateFunction(new Sigmoid_weight_EstFunc(1.0, 0, 2));
osm = osm_gdwt_sigw;
break;
case AlgoEnum.GDWTsigH:
var osm_gdwt_sigh = new GDWT_OSM();
osm_gdwt_sigh.SetTargetH(targeth);
osm_gdwt_sigh.SetAwaRateWindowSize(100);
osm_gdwt_sigh.SetEstimateFunction(new Sigmoid_awa_EstFunc(1.0, 0, 3));
osm = osm_gdwt_sigh;
break;
case AlgoEnum.GDWTpowerH:
var osm_gdwt_powh = new GDWT_OSM();
osm_gdwt_powh.SetTargetH(targeth);
osm_gdwt_powh.SetAwaRateWindowSize(100);
osm_gdwt_powh.SetEstimateFunction(new Power_awa_EstFunc(3.0, 0));
osm = osm_gdwt_powh;
break;
case AlgoEnum.GDWTpowerW:
var osm_gdwt_poww = new GDWT_OSM();
osm_gdwt_poww.SetTargetH(targeth);
osm_gdwt_poww.SetAwaRateWindowSize(100);
osm_gdwt_poww.SetEstimateFunction(new Power_weight_EstFunc(3.0, 0));
osm = osm_gdwt_poww;
break;
case AlgoEnum.GDWTLinearW:
var osm_gdwt_linearw = new GDWT_OSM();
osm_gdwt_linearw.SetTargetH(targeth);
osm_gdwt_linearw.SetAwaRateWindowSize(100);
osm_gdwt_linearw.SetEstimateFunction(new Linear_weight_EstFunc(1.0, 1, 0));
osm = osm_gdwt_linearw;
break;
default:
break;
}
osm.SetRand(update_step_rand);
osm.SetAgentNetwork(agent_network);
var subject_mgr_dic = new Dictionary <int, SubjectManager>();
subject_mgr_dic.Add(0, new SubjectManagerGenerator()
.Generate(subject_test, dist_weight, correct_dim, sensor_rate, EnvDistributionEnum.Exponential, malicious_dim, malicious_dist_weight));
//for (int i = 0; i < 1; i++)
//{
// subject_mgr_dic.Add(i * change_round, new SubjectManagerGenerator().Generate(subject_test, dist_weight, i % dim, sensor_rate, EnvDistributionEnum.Turara));
//}
osm.SetSubjectManagerDic(subject_mgr_dic);
osm.SetInitWeightsMode(mode: CalcWeightMode.FavorMyOpinion);
osm.SetOpinionIntroInterval(10);
osm.SetOpinionIntroRate(0.1);
//osm.SetSensorCommonWeight(0.70);
osm.SetBeliefUpdater(belief_updater);
this.MyOSM = osm;
this.MyAnimationForm.RegistOSM(osm);
}
