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Book Cover
Author Thielscher, Michael.

Title Action programming languages / Michael Thielscher
Edition First edition
Published San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2008
Online access available from:
Synthesis Digital Library    View Resource Record  


Description 1 online resource (1 online resource (viii, 91 pages : illustrations))
Series Synthesis lectures on artificial intelligence and machine learning, 1939-4616 ; #5
Synthesis lectures on artificial intelligence and machine learning (Online) ; 5
Contents Introduction -- Mathematical preliminaries -- Procedural action programs -- Action programs and planning -- Declarative action programs --Reactive action programs -- Suggested further reading
Summary 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
Bibliography Includes bibliographical references (pages 89-90)
Subject Artificial intelligence.
Intelligent agents (Computer software)
Knowledge representation (Information theory)
Programming languages (Electronic computers)
Form Electronic book
ISBN 1598295454 (electronic bk.)
9781598295450 (electronic bk.)
OTHER TI Synthesis digital library of engineering and computer science.