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

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