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.
Read More
Specifications
Book Details
Imprint
Morgan & Claypool Publishers
Series & Set Details
Series Name
Synthesis Lectures on Artificial Intelligence and Machine Learning
Dimensions
Height
235 mm
Length
187 mm
Be the first to ask about this product
Safe and Secure Payments.Easy returns.100% Authentic products.