/// <summary>
/// Builds the tree
/// </summary>
/// <param name="boardConfiguration">current board configuration</param>
/// <returns>tree</returns>
MinimaxTree <Configuration> BuildTree(
Configuration boardConfiguration)
{
// build tree to appropriate depth
MinimaxTree <Configuration> tree =
new MinimaxTree <Configuration>(boardConfiguration);
nodeList.Clear();
nodeList.AddLast(tree.Root);
while (nodeList.Count > 0)
{
MinimaxTreeNode <Configuration> currentNode =
nodeList.First.Value;
nodeList.RemoveFirst();
List <Configuration> children =
GetNextConfigurations(currentNode.Value);
foreach (Configuration child in children)
{
// STUDENTS: only add to tree if within search depth
MinimaxTreeNode <Configuration> childNode =
new MinimaxTreeNode <Configuration>(
child, currentNode);
if (Level(childNode) <= searchDepth)
{
tree.AddNode(childNode);
nodeList.AddLast(childNode);
}
}
}
return(tree);
}
/// <summary>
/// Handles the TakeTurn event
/// </summary>
/// <param name="player">whose turn it is</param>
/// <param name="boardConfiguration">current board configuration</param>
void HandleTakeTurnEvent(PlayerName player, Configuration boardConfiguration)
{
// only take turn if it's our turn
if (player == myName)
{
tree = BuildTree(boardConfiguration);
thinkingTimer.Run();
}
}
/// <summary>
/// Builds the tree
/// </summary>
/// <param name="boardConfiguration">current board configuration</param>
/// <returns>tree</returns>
MinimaxTree <Configuration> BuildTree(
Configuration boardConfiguration)
{
// build tree to appropriate depth
MinimaxTree <Configuration> tree =
new MinimaxTree <Configuration>(boardConfiguration);
// clear the list of nodes
nodeList.Clear();
// add the root as the initial node
nodeList.AddLast(tree.Root);
// iterate over all nodes while there are nodes to process
while (nodeList.Count > 0)
{
// get the currentNode
MinimaxTreeNode <Configuration> currentNode =
nodeList.First.Value;
// remove it from the list of nodes (to avoid processing it again)
nodeList.RemoveFirst();
// Get all possible configurations that might result from
// from the one for the current node (as long as they
// contain bears).
// These configurations represent possible child nodes of this node.
List <Configuration> possibleConfigurations =
GetNextConfigurations(currentNode.Value);
// get the depth of this node
int childDepth = getChildDepth(currentNode);
// if we are still within the search depth
if (childDepth <= searchDepth)
{
// iterate over all possible configurations where
// bins contain bears
foreach (Configuration configuration in possibleConfigurations)
{
// create a new child node with this configuration
MinimaxTreeNode <Configuration> childNode =
new MinimaxTreeNode <Configuration>(
configuration, currentNode);
// add the child node to the tree
tree.AddNode(childNode);
// and add it to the node list
nodeList.AddLast(childNode);
}
}
}
return(tree);
}
void Start()
{
// build and mark the tree with minimax scores
MinimaxTree <char> tree = BuildTree();
// print out tree
Debug.Log("Root item value: " + tree.Root.Value);
IList <MinimaxTreeNode <char> > children = tree.Root.Children;
if (children.Count > 0)
{
foreach (MinimaxTreeNode <char> child in children)
{
Debug.Log("Node item value: " + child.Value + ", Node Parent: " + child.Parent.Value);
printChildren(child);
}
}
// sets whether we are maximizing
bool maximizing = false;
Minimax(tree.Root, maximizing);
// find child node with maximum score
MinimaxTreeNode <char> maxChildNode = children[0];
for (int i = 1; i < children.Count; i++)
{
if (maximizing)
{
if (children[i].MinimaxScore > maxChildNode.MinimaxScore)
{
maxChildNode = children[i];
}
}
else
{
if (children[i].MinimaxScore < maxChildNode.MinimaxScore)
{
maxChildNode = children[i];
}
}
}
Debug.Log("Best move is to node: " + maxChildNode.Value);
}
static MinimaxTree <char> BuildTree()
{
MinimaxTree <char> tree = new MinimaxTree <char>('A');
MinimaxTreeNode <char> bNode = new MinimaxTreeNode <char>('B', tree.Root);
tree.AddNode(bNode);
MinimaxTreeNode <char> cNode = new MinimaxTreeNode <char>('C', tree.Root);
tree.AddNode(cNode);
MinimaxTreeNode <char> dNode = new MinimaxTreeNode <char>('D', tree.Root);
tree.AddNode(dNode);
MinimaxTreeNode <char> eNode = new MinimaxTreeNode <char>('E', bNode);
tree.AddNode(eNode);
MinimaxTreeNode <char> fNode = new MinimaxTreeNode <char>('F', bNode);
tree.AddNode(fNode);
MinimaxTreeNode <char> gNode = new MinimaxTreeNode <char>('G', bNode);
tree.AddNode(gNode);
MinimaxTreeNode <char> hNode = new MinimaxTreeNode <char>('H', cNode);
tree.AddNode(hNode);
MinimaxTreeNode <char> iNode = new MinimaxTreeNode <char>('I', cNode);
tree.AddNode(iNode);
MinimaxTreeNode <char> jNode = new MinimaxTreeNode <char>('J', dNode);
tree.AddNode(jNode);
MinimaxTreeNode <char> kNode = new MinimaxTreeNode <char>('K', dNode);
tree.AddNode(kNode);
MinimaxTreeNode <char> lNode = new MinimaxTreeNode <char>('L', eNode);
tree.AddNode(lNode);
MinimaxTreeNode <char> mNode = new MinimaxTreeNode <char>('M', eNode);
tree.AddNode(mNode);
MinimaxTreeNode <char> nNode = new MinimaxTreeNode <char>('N', fNode);
tree.AddNode(nNode);
MinimaxTreeNode <char> oNode = new MinimaxTreeNode <char>('O', fNode);
tree.AddNode(oNode);
MinimaxTreeNode <char> pNode = new MinimaxTreeNode <char>('P', gNode);
tree.AddNode(pNode);
MinimaxTreeNode <char> qNode = new MinimaxTreeNode <char>('Q', gNode);
tree.AddNode(qNode);
MinimaxTreeNode <char> rNode = new MinimaxTreeNode <char>('R', hNode);
tree.AddNode(rNode);
MinimaxTreeNode <char> sNode = new MinimaxTreeNode <char>('S', hNode);
tree.AddNode(sNode);
MinimaxTreeNode <char> tNode = new MinimaxTreeNode <char>('T', iNode);
tree.AddNode(tNode);
MinimaxTreeNode <char> uNode = new MinimaxTreeNode <char>('U', iNode);
tree.AddNode(uNode);
MinimaxTreeNode <char> vNode = new MinimaxTreeNode <char>('V', jNode);
tree.AddNode(vNode);
MinimaxTreeNode <char> wNode = new MinimaxTreeNode <char>('W', jNode);
tree.AddNode(wNode);
MinimaxTreeNode <char> xNode = new MinimaxTreeNode <char>('X', kNode);
tree.AddNode(xNode);
MinimaxTreeNode <char> yNode = new MinimaxTreeNode <char>('Y', kNode);
tree.AddNode(yNode);
return(tree);
}