On the occasion of World Logic Day, January 14, 2025,
the DLMPST Commission on Logic Education invites you to
a webinar by Professor Moshe Vardi.

Date: January 14, 2025

Time: 0700 CST, 1300 GMT, 1400 CET, 1830 IST, 2100 (Beijing)

Zoom Link:
URL:
https://cmi-ac-in.zoom.us/j/89055168551?pwd=7SeShMDEKSLw1wy6ZaZj4JEa0hiuqE.1
Meeting ID: 890 5516 8551
Passcode: gangesha

Talk details:

      Machine Learning and Logic: Fast and Slow Thinking

      Moshe Y. Vardi
      Rice University

      Computer science seems to be undergoing a paradigm shift. Much
      of earlier research was conducted in the framework of
      well-understood formal models. In contrast, some of the hottest
      trends today shun formal models and rely on massive data sets
      and machine learning. A cannonical example of this change is the
      shift in AI from logic programming to deep learning.

      I will argue that the correct metaphore for this development is
      not paradigm shift, but paradigm expansion. Just as General
      Relativity augments Newtonian Mechanics, rather than replace it
      -- we went to the moon, after all, using Newtonian Mechanics --
      data-driven computing augments model-driven computing. In the
      context of Artificial Intelligence, machine learning and logic
      correspond to the two modes of human thinking: fast thinking and
      slow thinking. The challenge today is to integrate the
      model-driven and data-driven paradigms. I will describe one
      approach to such an integration -- making logic more
      quantitative.

      I will conclude by discussing implications for computer-science
      education.


Speaker Bio:
      Moshe Y. Vardi is a University Professor, and the George
      Distinguished Service Professor in Computational Engineering at
      Rice University.  He is the author and co-author of close to 800
      papers, as well as two books.  He is the recipient of several
      scientific awards, is a fellow of several societies, and a
      member of several honorary academies. He holds ten honorary
      titles.  He is a Senior Editor of Communications of the ACM, the
      premier publication in computing, focusing on societal impact of
      information technology.

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