A Graph Planning Procedure within an Agent Architecture

Computing architectures based on software agents are
an important trend in computing technology today.
Within such architectures, there are many
applications in which planning procedures can play a
significant operational role. Planning procedures
are characterized by steps of operators that
transform an initial state into a desired goal
state. This book introduces a graph planning method
called I&G Graphplanner and a distributed agent
architecture called MAGSIC. I&G stands for
Initial and Goal; and MAGSIC is the acronym for the
multi-agent architecture that uses situation
calculus. The I&G Graphplanner is the reasoning
engine of the MAGSIC. The I&G Graphplanner achieves
fast speed by solving the problem of explosive
operator activations that is associated with forward
planners. This book is useful for professionals in
task automation, artificial intelligence, or
graduate students and professors working on software
agents.

Autorentext
Kuodi Jian, M.S., Ph. D.: Studied Computer Science and Operations Research at North Dakota State University, Fargo, North Dakota. Computer System Architect at Banner Health System, Fargo, North Dakota. Assistant Professor at Metropolitan State University, Saint Paul, Minnesota.

Klappentext
Computing architectures based on software agents are an important trend in computing technology today. Within such architectures, there are many applications in which planning procedures can play a significant operational role. Planning procedures are characterized by steps of operators that transform an initial state into a desired goal state. This book introduces a graph planning method called "I&G Graphplanner" and a distributed agent architecture called "MAGSIC." I&G stands for Initial and Goal; and MAGSIC is the acronym for the multi-agent architecture that uses situation calculus. The I&G Graphplanner is the reasoning engine of the MAGSIC. The I&G Graphplanner achieves fast speed by solving the problem of explosive operator activations that is associated with forward planners. This book is useful for professionals in task automation, artificial intelligence, or graduate students and professors working on software agents.