Planning Artificial intelligence
a hierarchical control system form of control system in set of devices , governing software arranged in hierarchy.
intelligent agents must able set goals , achieve them. need way visualize future—a representation of state of world , able make predictions how actions change it—and able make choices maximize utility (or value ) of available choices.
in classical planning problems, agent can assume system acting in world, allowing agent of consequences of actions. however, if agent not actor, requires agent can reason under uncertainty. calls agent can not assess environment , make predictions, evaluate predictions , adapt based on assessment.
multi-agent planning uses cooperation , competition of many agents achieve given goal. emergent behavior such used evolutionary algorithms , swarm intelligence.
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