Position Paper: Knowledge-Based Mechanisms for Deception
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In an earlier paper, I described in some detail how a system based on symbolic knowledge representation and reasoning could model and reason about an act of deception encountered in a children's story. This short position paper extends that earlier work, adding new analysis and discussion about the nature of deception, the desirability of building deceptive AI systems, and the computational mechanisms necessary for deceiving others and for recognizing their attempts to deceive us.
[1] Scott E. Fahlman. Using Scone's Multiple-Context Mechanism to Emulate Human-Like Reasoning , 2011, AAAI Fall Symposium: Advances in Cognitive Systems.