public void Generate(ExtendRandom agent_network_rand, List <Agent> agents, bool bad_sensor_mode, SensorArrangementEnum sensor_arrange, List <List <int> > communityList = null)
{
foreach (var agent in agents) //全てのエージェントを初期化
{
agent.SetSensor(false);
}
List <int> sensor_list = new List <int>();
int bad_sensor = -1;
if (communityList.Count != 0 && sensor_arrange == SensorArrangementEnum.Each) //ネットワークがコミュニティ構造を持つとき
{
int rest = 0;
if (this.SensorSize > communityList.Count) //コミュニティの数よりセンサの数の方が多いとき
{
for (var i = 0; i < this.SensorSize; i++)
{
//sensor_list = agents.Select(agent => agent.AgentID).OrderBy(id => agent_network_rand.Next()).Take(this.SensorSize).ToList();
var sensors = agents.Where(agent => communityList[i % communityList.Count].Contains(agent.AgentID)); //コミュニティのメンバー．センサ候補
var sensor = sensors.Select(agent => agent.AgentID).OrderBy(id => agent_network_rand.Next()).Take(1).ToList().First(); //一人センサを選ぶ
sensor_list.Add(sensor);
}
rest = this.SensorSize % communityList.Count;
}
else //コミュニティの数がセンサの数以下の時
{
for (var i = 0; i < this.SensorSize; i++)
{
//sensor_list = agents.Select(agent => agent.AgentID).OrderBy(id => agent_network_rand.Next()).Take(this.SensorSize).ToList();
var sensors = agents.Where(agent => communityList[i].Contains(agent.AgentID)); //コミュニティのメンバー．センサ候補
var sensor = sensors.Select(agent => agent.AgentID).OrderBy(id => agent_network_rand.Next()).Take(1).ToList().First(); //一人センサを選ぶ
sensor_list.Add(sensor);
}
}
if (bad_sensor_mode)
{
if (rest != 0)
{
while (true)
{
int candidate = agent_network_rand.Next(0, sensor_list.Count);
bool flag = false;
for (var j = 0; j < rest; j++)
{
if (candidate % communityList.Count == j)
{
flag = true;
}
}
if (!flag)
{
bad_sensor = candidate;
break;
}
}
}
else
{
bad_sensor = agent_network_rand.Next(0, sensor_list.Count);
}
agents.Where(agent => sensor_list[bad_sensor] == agent.AgentID).ToList().ForEach(agent => agent.SetBadSensor(true));
this.BadCommunityIndex = bad_sensor;
agents.Where(agent => communityList[bad_sensor].Contains(agent.AgentID)).ToList().ForEach(agent => agent.SetBadCommunity(true));
}
}
else //ネットワークがコミュニティ構造を持たないとき
{
sensor_list = agents.Select(agent => agent.AgentID).OrderBy(id => agent_network_rand.Next()).Take(this.SensorSize).ToList();
if (bad_sensor_mode)
{
bad_sensor = agent_network_rand.Next(0, sensor_list.Count);
agents.Where(agent => sensor_list[bad_sensor] == (agent.AgentID)).ToList().ForEach(agent => agent.SetBadSensor(true));
this.BadCommunityIndex = bad_sensor;
}
}
var malicious_sensor_list = sensor_list.OrderBy(id => agent_network_rand.Next()).Take(this.MaliciousSensorSize).ToList();
agents.Where(agent => sensor_list.Contains(agent.AgentID)).ToList().ForEach(agent => agent.SetSensor(true, false)); //センサエージェントに選ばれたエージェントをセンサとして認定
agents.Where(agent => malicious_sensor_list.Contains(agent.AgentID)).ToList().ForEach(agent => agent.SetSensor(true, true)); //誤情報センサに選ばれたエージェントを認定
}
public AgentNetwork SetSensorArrange(SensorArrangementEnum arrange)
{
this.SensorArragne = arrange;
return(this);
}
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);
}
