Automated planning and scheduling, also known as AI planning, is a field of artificial intelligence that focuses on creating strategies or action sequences for intelligent agents, robots, and unmanned vehicles. Planning involves finding optimal solutions in complex multidimensional spaces and is closely related to decision theory. In known environments, planning can be done offline, while in unknown environments, strategies often need to be revised online using iterative trial and error processes. Action languages are commonly used to describe planning and scheduling.
Carnegie Mellon University
Spring 2019
This course from Carnegie Mellon University provides a deep understanding of AI's theory and practice, covering methods for decision-making, problem-solving, and handling uncertainty. Topics include search algorithms, computational game theory, and AI ethics.
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+ 24 more conceptsBrown University
Fall 2022
CS1410 at Brown University delves into the realm of Artificial Intelligence. Using the 3rd edition of "Artificial Intelligence, A Modern Approach" by Russell & Norvig, students explore intelligent agents, game theory, knowledge representation, logic, probabilistic learning, NLP, robotics, computer vision, and ethical implications of AI.
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