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
General
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