Automated Planning: Theory & Practice (The Morgan Kaufmann Series in Artificial Intelligence)

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(as of Dec 28,2024 08:05:48 UTC – Details)

In this post, we will delve into the world of automated planning, exploring both the theory and practice behind this fascinating field. The Morgan Kaufmann Series in Artificial Intelligence is a valuable resource for anyone interested in learning more about automated planning, offering insights from leading experts in the field.

Automated planning is the process of generating a sequence of actions to achieve a desired goal, taking into account constraints and uncertainties. It plays a crucial role in a wide range of applications, from robotics and autonomous systems to scheduling and logistics.

Theoretical foundations of automated planning involve formal models, algorithms, and complexity analysis. Understanding these fundamentals is essential for developing efficient planning systems that can handle real-world challenges.

On the practical side, automated planning techniques are used to design intelligent systems that can autonomously make decisions and adapt to changing environments. By leveraging AI technologies such as machine learning and optimization, planners can generate plans that are not only feasible but also optimal.

The Morgan Kaufmann Series in Artificial Intelligence provides a comprehensive overview of automated planning, covering topics such as classical planning, probabilistic planning, and planning under uncertainty. With contributions from leading researchers and practitioners, this series offers valuable insights into the latest developments and trends in the field.

Whether you are a student, researcher, or industry professional, the Morgan Kaufmann Series in Artificial Intelligence is a must-read for anyone interested in automated planning. Stay tuned for more updates on this exciting topic!
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