Struct Tree

pub struct Tree { /* private fields */ }

A decision tree framework for creating game AI structures.

Implementations

impl Tree

pub fn sel(nodes: &Vec<Tree>) -> Tree

Creates a selector node with the specified child nodes.

A selector node will go through the child nodes until one succeeds.

Arguments

• nodes - An array of Leaf nodes.

Returns

• A Leaf node that represents a selector.

pub fn seq(nodes: &Vec<Tree>) -> Tree

Creates a sequence node with the specified child nodes.

A sequence node will go through the child nodes until all nodes succeed.

Arguments

• nodes - An array of Leaf nodes.

Returns

• A Leaf node that represents a sequence.

pub fn con(name: &str, handler: Box<dyn FnMut(&Unit) -> bool>) -> Tree

Creates a condition node with the specified name and handler function.

Arguments

• name - The name of the condition.
• check - The check function that takes a Unit parameter and returns a boolean result.

Returns

• A Leaf node that represents a condition check.

pub fn act(action_name: &str) -> Tree

Creates an action node with the specified action name.

Arguments

• action_name - The name of the action to perform.

Returns

• A Leaf node that represents an action.

pub fn act_dynamic(handler: Box<dyn FnMut(&Unit) -> String>) -> Tree

Creates an action node with the specified handler function.

Arguments

• handler - The handler function that takes a Unit parameter which is the running AI agent and returns an action.

Returns

• A Leaf node that represents an action.

pub fn accept() -> Tree

Creates a leaf node that represents accepting the current behavior tree.

Always get success result from this node.

Returns

• A Leaf node.

pub fn reject() -> Tree

Creates a leaf node that represents rejecting the current behavior tree.

Always get failure result from this node.

Returns

• A Leaf node.

pub fn behave(name: &str, root: &Tree) -> Tree

Creates a leaf node with the specified behavior tree as its root.

It is possible to include a Behavior Tree as a node in a Decision Tree by using the Behave() function. This allows the AI to use a combination of decision-making and behavior execution to achieve its goals.

Arguments

• name - The name of the behavior tree.
• root - The root node of the behavior tree.

Returns

• A Leaf node.

Trait Implementations

impl Clone for Tree

fn clone(&self) -> Tree

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Drop for Tree

fn drop(&mut self)

Executes the destructor for this type.

impl IObject for Tree

fn raw(&self) -> i64

fn obj(&self) -> &dyn IObject

fn as_any(&self) -> &dyn Any

fn get_id(&self) -> i32