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.
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