A robot’s sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say

In the design of user-friendly robots, human communication should be understood by system beyond mere logics and literal meaning. Robot communication-design has long ignored importance politeness rules that are ‘forgiving’ ‘suspending disbelief’ cannot handle basically metaphorical way humans their utterances. Through analysis psychological causes illogical non-literal statements, signal detection, fundamental attribution errors, anthropomorphism, we developed a fail-safe protocol for fallacies tropes makes use Frege’s distinction between reference sense, Beth’s tableau analytics, Grice’s maxim quality, epistemic considerations to have robot politely make sense user’s sometimes unintelligible demands.