gale.ai package

gale.ai: a modular toolkit to build autonomous characters — Kinematic bodies and steering behaviors (including combination/motor-control variants), a behavior tree, a decision tree, data-driven scripting for both, a shared Blackboard, generic graphs with search/pathfinding algorithms (flat, hierarchical, interruptible, open-goal), the Agent class that ties them together, a vision-cone Perception system, fuzzy logic, naive-Bayes/n-gram learning models, projectile aiming/targeting, coordinated-movement formations, Markov chains/state machines, goal-oriented action planning (GOAP), a forward-chaining rule engine, tactical influence maps, and a minimax search with alpha-beta pruning for turn-based adversarial decisions.

See docs/examples/gale_ai.rst for a walkthrough.

Author: Alejandro Mujica (aledrums@gmail.com)

Submodules

• gale.ai.agent module
  • Agent
    • Agent.position
    • Agent.orientation
    • Agent.velocity
    • Agent.set_steering_behavior()
    • Agent.set_brain()
    • Agent.think()
    • Agent.update()
• gale.ai.behavior_tree module
  • Status
    • Status.SUCCESS
    • Status.FAILURE
    • Status.RUNNING
  • Node
    • Node.tick()
    • Node.reset()
  • Action
    • Action.function
    • Action.tick()
  • Condition
    • Condition.predicate
    • Condition.tick()
  • Composite
    • Composite.children
    • Composite.reset()
  • Sequence
    • Sequence.short_circuit_status
    • Sequence.exhausted_status
  • Selector
    • Selector.short_circuit_status
    • Selector.exhausted_status
  • Parallel
    • Parallel.success_threshold
    • Parallel.failure_threshold
    • Parallel.tick()
    • Parallel.reset()
  • Decorator
    • Decorator.child
    • Decorator.reset()
  • Inverter
    • Inverter.tick()
  • Succeeder
    • Succeeder.tick()
  • Failer
    • Failer.tick()
  • Repeater
    • Repeater.times
    • Repeater.tick()
    • Repeater.reset()
  • UntilSuccess
    • UntilSuccess.tick()
  • UntilFailure
    • UntilFailure.tick()
  • Cooldown
    • Cooldown.duration
    • Cooldown.tick()
    • Cooldown.reset()
  • BehaviorTree
    • BehaviorTree.root
    • BehaviorTree.tick()
• gale.ai.blackboard module
  • Blackboard
    • Blackboard.get()
    • Blackboard.has()
    • Blackboard.set()
    • Blackboard.erase()
    • Blackboard.clear()
    • Blackboard.observe()
    • Blackboard.stop_observing()
• gale.ai.decision_tree module
  • DecisionTreeNode
    • DecisionTreeNode.make_decision()
  • ActionNode
    • ActionNode.make_decision()
  • DecisionNode
    • DecisionNode.make_decision()
  • RandomDecisionNode
    • RandomDecisionNode.make_decision()
  • DecisionTree
    • DecisionTree.make_decision()
    • DecisionTree.tick()
• gale.ai.formation module
  • FormationPattern
    • FormationPattern.slot_offset()
  • LineFormation
    • LineFormation.slot_offset()
  • WedgeFormation
    • WedgeFormation.slot_offset()
  • CircleFormation
    • CircleFormation.slot_offset()
  • ScalableFormationPattern
    • ScalableFormationPattern.slot_offset()
  • SlotAssignment
    • SlotAssignment.assign()
  • FormationManager
    • FormationManager.set_pattern()
    • FormationManager.add_member()
    • FormationManager.remove_member()
    • FormationManager.update()
    • FormationManager.slot_kinematic()
    • FormationManager.role_of()
• gale.ai.fuzzy module
  • FuzzySet
    • FuzzySet.membership()
  • TriangularSet
    • TriangularSet.membership()
  • TrapezoidalSet
    • TrapezoidalSet.membership()
  • LeftShoulderSet
    • LeftShoulderSet.membership()
  • RightShoulderSet
    • RightShoulderSet.membership()
  • fuzzy_and()
  • fuzzy_or()
  • FuzzyVariable
    • FuzzyVariable.fuzzify()
    • FuzzyVariable.defuzzify()
  • FuzzyRule
  • FuzzyRuleSet
    • FuzzyRuleSet.evaluate()
• gale.ai.goap module
  • GoapAction
    • GoapAction.is_applicable()
    • GoapAction.apply()
  • plan()
• gale.ai.graph module
  • CycleError
  • Graph
    • Graph.nodes
    • Graph.edges
    • Graph.add_node()
    • Graph.has_node()
    • Graph.remove_node()
    • Graph.add_edge()
    • Graph.has_edge()
    • Graph.remove_edge()
    • Graph.get_weight()
    • Graph.neighbors()
    • Graph.weighted_neighbors()
  • NavGraph
    • NavGraph.add_edge()
  • DependencyGraph
    • DependencyGraph.add_dependency()
    • DependencyGraph.topological_sort()
    • DependencyGraph.has_cycle()
  • StateGraph
    • StateGraph.add_edge()
    • StateGraph.remove_edge()
    • StateGraph.remove_node()
    • StateGraph.get_action()
    • StateGraph.actions_for_path()
    • StateGraph.expand()
• gale.ai.learning module
  • NaiveBayesClassifier
    • NaiveBayesClassifier.observe()
    • NaiveBayesClassifier.predict()
  • NGramPredictor
    • NGramPredictor.observe()
    • NGramPredictor.predict_next()
    • NGramPredictor.reset_history()
• gale.ai.markov module
  • MarkovChain
    • MarkovChain.add_transition()
    • MarkovChain.next_state()
  • MarkovState
  • MarkovStateMachine
    • MarkovStateMachine.update()
    • MarkovStateMachine.render()
• gale.ai.minimax module
  • minimax()
  • best_move()
• gale.ai.pathfinding module
  • incremental_a_star()
  • a_star_to_predicate()
  • PathfindingRequest
    • PathfindingRequest.step()
  • PlannerPool
    • PlannerPool.request()
    • PlannerPool.update()
  • HierarchicalGraph
    • HierarchicalGraph.find_path()
• gale.ai.perception module
  • has_line_of_sight()
  • VisionCone
    • VisionCone.can_see_point()
    • VisionCone.awareness_gain()
  • AlertLevel
    • AlertLevel.UNAWARE
    • AlertLevel.SUSPICIOUS
    • AlertLevel.ALERTED
  • Perception
    • Perception.vision_cones
    • Perception.blackboard
    • Perception.decay_rate
    • Perception.suspicious_threshold
    • Perception.alerted_threshold
    • Perception.awareness
    • Perception.update()
• gale.ai.rules module
  • Rule
  • RuleEngine
    • RuleEngine.run()
• gale.ai.scripting module
  • Registry
    • Registry.register_action()
    • Registry.register_condition()
    • Registry.get_action()
    • Registry.get_condition()
  • build_behavior_tree()
  • build_decision_tree()
• gale.ai.search module
  • path_cost()
  • depth_first_search()
  • breadth_first_search()
  • dijkstra()
  • a_star()
• gale.ai.steering module
  • SteeringOutput
    • SteeringOutput.is_zero()
  • Kinematic
    • Kinematic.x
    • Kinematic.y
    • Kinematic.orientation_as_vector()
    • Kinematic.vector_to_orientation()
    • Kinematic.update()
  • SteeringBehavior
    • SteeringBehavior.get_steering()
  • Seek
    • Seek.get_steering()
  • Flee
    • Flee.get_steering()
  • Arrive
    • Arrive.get_steering()
  • Align
    • Align.get_steering()
  • Face
    • Face.get_steering()
  • LookWhereYoureGoing
    • LookWhereYoureGoing.get_steering()
  • VelocityMatch
    • VelocityMatch.get_steering()
  • Pursue
    • Pursue.get_steering()
  • Evade
    • Evade.get_steering()
  • Wander
    • Wander.get_steering()
  • Separation
    • Separation.get_steering()
  • Obstacle
  • ObstacleAvoidance
    • ObstacleAvoidance.get_steering()
  • CollisionAvoidance
    • CollisionAvoidance.get_steering()
  • Wall
    • Wall.normal()
  • WallAvoidance
    • WallAvoidance.get_steering()
  • PathFollow
    • PathFollow.get_steering()
  • BlendedSteering
    • BlendedSteering.get_steering()
  • PrioritySteering
    • PrioritySteering.get_steering()
  • CooperativeArbitration
    • CooperativeArbitration.get_steering()
  • OutputFilter
    • OutputFilter.get_steering()
  • CapabilityFilter
    • CapabilityFilter.get_steering()
• gale.ai.tactical module
  • InfluenceMap
    • InfluenceMap.add_influence()
    • InfluenceMap.propagate()
    • InfluenceMap.value_at()
    • InfluenceMap.dominance_at()
    • InfluenceMap.clear()
  • best_position()
• gale.ai.targeting module
  • predict_intercept_time()
  • ballistic_position()
  • simulate_drag_trajectory()
  • iterative_targeting_angle()