void Update()
{
if (Input.GetKeyDown(KeyCode.A))
{
gate.hp -= 20;
Debug.Log("Gate Damaged. HP: " + gate.hp);
if (gate.hp <= 0)
{
Debug.Log("Gate broke");
}
}
else if (Input.GetKeyDown(KeyCode.S))
{
Debug.Log("Saving");
bd.Tab2File();
}
else if (Input.GetKeyDown(KeyCode.D))
{
bd.Tab2Screen();
}
else if (Input.GetKeyDown(KeyCode.Space))
{
if (!doingIt)
{
TestBayes();
}
//DebugTestBayes();
}
else if (Input.GetKeyDown(KeyCode.E))
{
bd.DumpStats();
}
if (currObservation.outcome != -1)
{
if (Input.GetKeyDown(KeyCode.Minus))
{
currObservation.outcome = 1;
bd.AddObservation(currObservation);
Debug.Log("Added Observation as negative");
bd.BuildStats();
}
else if (Input.GetKeyDown(KeyCode.Equals))
{
currObservation.outcome = 0;
bd.AddObservation(currObservation);
Debug.Log("Added Observation as positive");
bd.BuildStats();
}
}
if (doingIt)
{
Vector3 pos = transform.position;
Vector3 targetPos = gate.transform.position;
transform.position = Vector3.MoveTowards(pos, targetPos, moveSpeed * Time.deltaTime);
}
}
void Start()
{
// Note: We're using the Bayes namespace up above ^^
// BayesDecider can handle 2 types of conditions
// Discrete and Continuous
// Discrete conditions are conditions with values that are 0-based and count up
// ie True/False or an enumeration (like the outlook in the Golf example)
// Discrete values are arbitrary (either 0 or 1 could be true),
// just be consistent, start it at 0, and don't skip numbers (ie 0,1,2,3...)
BayesDiscreteCondition outlook = new BayesDiscreteCondition("Outlook", 3);
BayesDiscreteCondition windy = new BayesDiscreteCondition("Windy");
// Continuous conditions are conditions with values that fall within a range
// The values themselves don't really matter, but I don't think it can handle negative
BayesContinuousCondition temp = new BayesContinuousCondition("Temp");
BayesContinuousCondition hum = new BayesContinuousCondition("Humidity");
// Here we assemble arrays of the discrete and continuous conditions to pass to the Decider
// The order for discrete/coninuous conditions MUST be the same as the order in the data file!
BayesDiscreteCondition[] discs = new BayesDiscreteCondition[2];
discs[0] = outlook;
discs[1] = windy;
BayesContinuousCondition[] conts = new BayesContinuousCondition[2];
conts[0] = temp;
conts[1] = hum;
// Here we create the decider,
// and tell it what file to use and the name of the outcome (for debug printing)
bd = new BayesDecider("GolfTab.txt", "Play Golf");
// Then we give it the conditions
bd.SetConditions(conts, discs);
bd.Tab2Screen(); // Prints out the table for reference
bd.BuildStats(); // Uses the data from the table to calculate values for conditions
// Take a look at the Golf data file (Assets/Data/GolfTab.txt) to see some of its quirks
// Discrete values are prefixed by "d" and continuous with a "c"
// The outcome starts with an "o"
// The first column in the data file is the outlook, with is an enum (0 = sunny, 1 = overcast, 2 = rainy)
// The second column is windy, which is boolean (0 = true, 1 = false)
// The third and fourth column are temperature and humidity which are continuous
// The final column is the outcome (play or not) which is boolean as well
// It's important to keep the order consistent and use the correct prefix or it will break!
}
// For this example, hitting the spacebar will test a situation that is a "shouldn't play"
// Then it adds the situation to the table as a "should play" to stack the odds
// Eventually it will start saying yes
void Update()
{
if (Input.GetKeyDown(KeyCode.Space))
{
Debug.Log("Test a day that's sunny, windy, temp 50, humidity 90");
// This is where we assemble a situation for the Decider to test
// We need to assemble an array of discrete and continuous values to test
// Like how the conditions above had to be in the same order as the data file,
// these values must be in the same order as the conditions that the values represent
int[] discValues = new int[2];
discValues[0] = 0; // Outlook, 0 = sunny
discValues[1] = 0; // Windy, 0 = true
int[] contValues = new int[2];
contValues[0] = 66; // temperature
contValues[1] = 90; // humidity
// BayesDecider.Decide returns true/false to perform the action based on the values
if (bd.Decide(contValues, discValues)) // <- We pass in the arrays we built above ^
{
Debug.Log("Let's play a round!");
}
else
{
Debug.Log("Let's stay home.");
}
Debug.Log("Added last case with true outcome");
// Now we add an observation with the values and an outcome
// We have to decide the outcome (ie if a character dies, it was a bad outcome)
bd.AddObservation(contValues, discValues, 0);
bd.Tab2Screen();
bd.BuildStats(); // Then we rebuild the stats
// You can also call BayesDecider.Tab2File to save the observation table
// Just note that it will write over the existing file, so keeping a backup is a good idea
}
}