Synopsis
To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world.
· Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states.
· The first full book on commonsense reasoning to use the event calculus.
· Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall.
· Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves.
· Includes fully worked out proofs and circumscriptions for every example.
· Describes software tools that can be downloaded and used for automated commonsense reasoning, and real-world applications that have been built using the event calculus.
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Book Description
The only up-to-date book on logic-based commonsense reasoning.
About the Author
Erik Mueller is a Research Staff Member at IBM Watson Group and IBM Research. He is a member of the IBM team that developed Watson, a natural language question answering system that won a two-game Jeopardy! match against two Jeopardy! grand champions. His previous books include Daydreaming in Humans and Machines and Natural Language Processing with ThoughtTreasure. He received an S.B. in Computer Science and Engineering from the Massachusetts Institute of Technology and an M.S. and Ph.D. in Computer Science from the University of California, Los Angeles. He is currently developing WatsonPaths, a reasoning system based on Watson, and Watson for Healthcare, which will help healthcare professionals diagnose, treat, and manage patients.
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