Artificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which employ a mental model of their environment and which reason about their actions as a means to achieve their goals. Applications of this programming paradigm include autonomous software agents, mobile robots with high-level reasoning capabilities, and General Game Playing. These lecture notes give an in-depth introduction to the current state-of-the-art in action programming. The main topics are knowledge representation for actions, procedural action programming, planning, agent logic programs, and reactive, behavior-based agents. The only prerequisite for understanding the material in these lecture notes is some general programming experience and basic knowledge of classical first-order logic. Table of Contents: Introduction / Mathematical Preliminaries / Procedural Action Programs / Action Programs and Planning / Declarative Action Programs / Reactive Action Programs / Suggested Further Reading
| Autorius: | Michael Thielscher |
| Serija: | Synthesis Lectures on Artificial Intelligence and Machine Learning |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2008 |
| Knygos puslapių skaičius: | 100 |
| ISBN-10: | 3031004191 |
| ISBN-13: | 9783031004193 |
| Formatas: | 235 x 191 x 6 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
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