[mod.ai] Seminar - Model-Based Reasoning with Causal Ordering

IWASAKI@C.CS.CMU.EDU (Yumi Iwasaki) (05/28/86)

I will be presenting my thesis proposal as follows:

Date : Tuesday, June 3, 1986
Time : 2 pm
Place : WeH 5409
Title : Model-Based Reasoning of Device Behavior with Causal Ordering

Causality plays an important role in human understanding of the world.  While a
number of artificial intelligence systems have  been  built  that  reason  with
causal  knowledge,  few  have  addressed the issue of not only representing and
using causal knowledge but also of discovering causal relations in  the  domain
based  on  an  operational  definition  of  causality.    We  propose  to study
discovering, representing, and using causal knowledge based on  the  definition
of  causal  relations  given  by  the  theory of causal ordering.  The proposed
scheme for causal reasoning has several levels of representation of  knowledge,
namely  the  network representation of processes, equation model of components,
and causal ordering structure.  The scheme links the knowledge at the level  of
intuitive   understanding   of   processes  to  the  diagnostic  level  via  an
intermediate, more formal model represented as a system of equations.  In  this
research, we will study application of the concept of causal ordering to a task
of reasoning about physical device behavior by implementing a causal  reasoning
program,  ACORD,  in  the  domain  of  a  coal  power plant.  We also expect to
contribute  to  better  understanding  of  advantages  and   disadvantages   of
model-based and evidential reasoning.