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IBM : Inverse Bind Matrix

마야 노드 에디터

마야의 노드 에디터를 활용하면 멜 스크립트를 사용하지 않고도 원하는 로직 실행이 가능하다.

가령 A라는 오브젝트의 x 위치값이 바뀔 때 오브젝트 B의 스케일 Y값을 변경하려면

보통 다음과 같이 코딩을 하게 되는데

B.scaleY = A.translateX

이런 코드를 직접 작성하지 않고 노드로 표현 가능하다.

Simple implementation of Decision Tree with C++

Simple implementation of Decision Tree with C++
=================================


#include <iostream>

using namespace std;

bool val_visible = false;
bool val_evidence = true;
bool val_hungry = false;
float val_distance = 50;

class GameWorldEnv
{
public:
float GetPlayerDistance()
{
return rand() % 100;
}
};

class DecisionNode
{
public:
virtual DecisionNode* Decision() { return nullptr; };
virtual void Action() {};
};

class Decision : public DecisionNode
{
public:

};

class Boolean : public Decision
{
public:
Boolean(bool* val, DecisionNode* yes, DecisionNode* no)
: mTestValue(val)
, mYesNode(yes)
, mNoNode(no)
{

}

DecisionNode* Decision()
{
if (*mTestValue)
{
return mYesNode;
}
return mNoNode;
}

DecisionNode* mYesNode;
DecisionNode* mNoNode;
bool* mTestValue;
};

class Close : public Decision
{
public:
Close(float* distance, GameWorldEnv* env, DecisionNode* yes, DecisionNode* no)
: mTestDistance(distance)
, mEnv(env)
, mYesNode(yes)
, mNoNode(no)
{

}

DecisionNode* Decision()
{
if (mEnv->GetPlayerDistance() < *mTestDistance)
{
return mYesNode;
}
return mNoNode;
}

DecisionNode* mYesNode;
DecisionNode* mNoNode;

GameWorldEnv* mEnv;
float* mTestDistance;
};

class Action : public DecisionNode
{
public:

};

class Eat : public Action
{
public:
void Action()
{
cout << "Action Executed : Eat" << endl;
}
};

class Wander : public Action
{
public:
void Action()
{
cout << "Action Executed : Wander" << endl;
}
};

class Attack : public Action
{
public:
void Action()
{
cout << "Action Executed : Attack" << endl;
}
};

class Trace : public Action
{
public:
void Action()
{
cout << "Action Executed : Trace" << endl;
}

};

// Action은 Wander, Eat, Trace, Attack
// 총 4개가 있다.

void Process(DecisionNode* node)
{
DecisionNode* newNode = node->Decision();
if (newNode != nullptr)
{
Process(newNode);
}
else
{
// action
node->Action();
}
}

int main()
{
Eat eatNode;
Wander wanderNode;
Attack attackNode;
Trace traceNode;

GameWorldEnv env;
Close closeNode(&val_distance, &env, &attackNode, &traceNode);
Boolean hungryNode(&val_hungry, &eatNode, &wanderNode);
Boolean evidenceNode(&val_evidence, &closeNode, &hungryNode);
Boolean visibleNode(&val_visible, &closeNode, &evidenceNode);

DecisionNode* root = &visibleNode;

// Make a decision tree
for (int i = 0; i < 3; ++i)
{
Process(root);
Process(root);
}
}