Commonsense psychology refers to the implicit theories that we all
use to make sense of people's behavior in terms of their beliefs,
goals, plans, and emotions. These are also the theories we employ
when we anthropomorphize complex machines and computers as if they
had humanlike mental lives. In order to successfully cooperate and
communicate with people, these theories will need to be represented
explicitly in future artificial intelligence systems. This book
provides a large-scale logical formalization of commonsense
psychology in support of humanlike artificial intelligence. It uses
formal logic to encode the deep lexical semantics of the full
breadth of psychological words and phrases, providing fourteen
hundred axioms of first-order logic organized into twenty-nine
commonsense psychology theories and sixteen background theories.
This in-depth exploration of human commonsense reasoning for
artificial intelligence researchers, linguists, and cognitive and
social psychologists will serve as a foundation for the development
of humanlike artificial intelligence.
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