Ontolog Forum

Session Symposium Preparation
Duration 1 hour
Date/Time May 06 2019 16:00 GMT
9:00am PST/12:00pm EST
5:00pm GMT/6:00pm CET
Convener Ken Baclawski

Ontology Summit 2019 Symposium Preparation


Conference Call Information

  • Date: Monday, 06-May-2019'
  • Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
  • Expected Call Duration: 1 hour
  • The Video Conference URL is
    • iPhone one-tap :
      • US: +16699006833,,689971575# or +16465588665,,689971575#
    • Telephone:
      • Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 558 8665
      • Meeting ID: 689 971 575
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  • Chat Room




John McCarthy "The little thoughts of thinking machines."Psychology Today 17.12 (1983): 46-49

Commonsense Reasoning and Commonsense Knowledge in Artificial Intelligence Ernest Davis, Gary Marcus Communications of the ACM, September 2015, Vol. 58 No. 9, Pages 92-103

Programs with Common Sense (McCarthy 1959)

Clancey, William J. "The epistemology of a rule-based expert systema framework for explanation." Artificial intelligence 20.3 (1983): 215-251.

Fox, Maria, Derek Long, and Daniele Magazzeni. "Explainable planning." arXiv preprint arXiv:1709.10256 (2017).

Hayes, Patrick, J. 1979 The Naive Physics Manifesto, in D. Michie, ed., Expert Systems in the Micro-Electronic Age, Edinburgh: Edinburgh University Press, 242-70, as repr. in Boden, ed., 171-205.

Hayes, Patrick J. 1985 The Second Naive Physics Manifesto, in Hobbs and Moore, eds., 1-36.

Hayes, Patrick J. 1985a Naive Physics Intology for Liquids, Hobbs & Moore, eds.,71-107

Langley, Pat, et al. "Explainable Agency for Intelligent Autonomous Systems." AAAI. 2017.

Lifschitz, Vladimir. "Formalizing Common Sense: Papers by John McCarthy." Ablex, Norwood, NJ (1990).

McCarthy, The Logic & Philosophy of ARTIFICIAL INTELLIGENCE, 1988

Miller, Tim. "Explanation in artificial intelligence: insights from the social sciences." arXiv preprint arXiv:1706.07269 (2017).

Suchman, L. A. (1987). Plans and situated actions: The problem of human-machine communication. Cambridge university press.

E. Davis:The Naive Physics Perplex,98

Datta, Anupam, Shayak Sen, and Yair Zick. "Algorithmic transparency via quantitative input influence: Theory and experiments with learning systems." Security and Privacy (SP), 2016 IEEE Symposium on. IEEE, 2016.

Mitchell, Tom, et al. "Never-ending learning." Communications of the ACM61.5 (201: 103-115.

Alessandro Oltramari Ontology summit 2017 "From machines that learn to machines that know: the role of ontologies in machine intelligence"


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