[comp.ai.digest] empirical science of language

bnevin@CCH.BBN.COM (Bruce E. Nevin) (01/06/88)

  [Excerpted from the NL-KR Digest.  Bruce mentions fundamental
  difficulties in the study of lingistics and psychology.  Are
  there similar viewpoints on AI?  Roger Schank mentions at least
  one in his recent AI Magazine article:  If AI is the study of
  uniquely human capabilities, then any algorithm derived from AI
  negates its own domain.  -- KIL]

The status of linguistics as a science has been a vexed question for a
very long time.  There are a number of good reasons.  Probably the
central one is this:  in all other sciences and in mathematics, you can
rely on the shared understanding of natural language to provide a
metalanguage for your specialized notations and argumentation.  In
linguistics you cannot without begging fundamental questions that define
the field.  There is an exactly parallel difficulty in psychology:  a
psychological model must account for the investigator on the same terms
as it accounts for the object of investigation.  The carefully crafted
suspension of subjectivity that is so crucial to experimental method
becomes unattainable when subjectivity itself is the subject.  (See
Winograd's recent work, e.g. _Understanding Computers and Cognition_ for
reasons why computer modelling of natural language is not possible, on
the usual construal of what computer modelling is.  I have references to
work that gets around this "Framer Problem" if you are interested.)

[...]