The internal reasoning of robots

Don Perlis, Justin Brody, Sarit Kraus, Michael Miller

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


We argue for the value of examining the internal processes that robots might actually use to draw inferences in a timely way in a dynamic world. This requires a significantly different way of thinking about logic and reasoning, which in turn bears on some traditional logic-related problems such as omniscience and reasoning in the presence of a contradiction, as well as on a wide variety of other AI issues. A nonstandard internally-evolving notion of time seems to be the key that unlocks other tools.

Original languageEnglish
JournalCEUR Workshop Proceedings
StatePublished - 2017
Event13th International Symposium on Commonsense Reasoning, COMMONSENSE 2017 - London, United Kingdom
Duration: 6 Nov 20178 Nov 2017

Bibliographical note

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© 2017 CEUR-WS. All rights reserved.


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