[mod.ai] Course - Approaches to AI

NILSSON@SCORE.STANFORD.EDU (Nils Nilsson) (03/21/87)

       [Forwarded from the Stanford bboard by Laws@SRI-STRIPE.]


SEMINAR ANNOUNCEMENT

CS 520 ARTIFICIAL INTELLIGENCE RESEARCH SEMINAR
APPROACHES TO ARTIFICIAL INTELLIGENCE
Tuesdays 11:00 a.m.  Terman Auditorium (Televised over SITN)
Spring Quarter 1987
Convener:  Nils Nilsson

The student and/or researcher approaching artificial intelligence cannot
fail to note that research is guided by a number of different paradigms.
Among the most popular are: approaches based on one form or another of
symbolic logic; approaches stressing application-specific data
structures and programs for representing and manipulating knowledge;
approaches involving machine learning; and approaches based on
psychological models of human perception and cognition.  There are many
variants and combinations of all of these, and each has contributed to
our broad understanding of how to build intelligent machines.  During
this seminar series in 1987, leading exponents of these paradigms will
describe the main features of his approach, what it has achieved so far,
how it differs from other approaches, and what can be expected in the
future.


TENTATIVE SCHEDULE

Mar 31:  Nils Nilsson (Stanford), ``Overview of Approaches to AI''

Apr 7:   Paul Rosenbloom (Stanford), ``AI Paradigms and Cognition''

Apr 14:  Bruce Buchanan (Stanford), title to be announced

Apr 21:  Vladimir Lifschitz (Stanford),  ``The Logical Approach to AI''

Apr 28:  Martin Fischler/Oscar Firschein (SRI), ``Representation and
     Reasoning in Machine Vision''

May 5:   Richard Fikes (Intellicorp), ``Reasoning in Frame-Based
     Representation Systems''

May 12:  Terry Winograd (Stanford), ``Is There a Standard AI Paradigm?''

May 19:  Hubert Dreyfus (UC Berkeley), ``AI at the Crossroads''

May 26:  David Rumelhart (UC San Diego), title to be announced
          [Will deal with ``connectionism'']

June 2:  Ed Feigenbaum (Stanford), ``AI as an Empirical Science''

June 9:  Doug Lenat (MCC), ``The Experimentalist's Approach to AI:
      from Learning to Common Sense''  
-------