[ont.events] A Logical Reconstruction of Plan Recognition.

ylfink@water.waterloo.edu (ylfink) (03/05/88)

DEPARTMENT OF COMPUTER SCIENCE
UNIVERSITY OF WATERLOO
SEMINAR ACTIVITIES

ARTIFICIAL INTELLIGENCE SEMINAR

                    -  Friday, March 11, 1988

Dr.  Henry Kautz, from AT&T Bell Labs, Murray Hill, New
Jersey,  will  speak  on  ``A Logical Reconstruction of
Plan Recognition''.

TIME:                1:30 PM

ROOM:              MC 5158A

ABSTRACT

Algorithms for plan recognition have usually been based
on  matching  a  sequence  of  observed  events  into a
hierarchically   structured   ``plan  library'',  which
specifies  the  abstraction and decomposition (substep)
relations  between  event types.  This talk describes a
logical   reconstruction  of  this  kind  of  taxonomic
recognition.  The result is a general competence theory
of  plan  recognition, whose semantic basis can be used
to justify particular recognition algorithms.

We  show  that  the  logical representation of the plan
library must be strengthened by a number of assumptions
for use in recognition.  The assumptions are that event
types  are  disjoint,  unless known otherwise; that the
decomposition  hierarchy  is  complete;  and  that  the
agent's  actions are, if possible, all part of the same
plan.   These  assumptions  are  developed  through the
construction  of  a  certain class of minimal models of
the  plan  library.  Circumscription provides a general
non-constructive  method  for  specifying  a  class  of
minimal   models.   For  the  specific  case  at  hand,
however,  we  can mechanically generate a set of first-
order  axioms  which precisely capture the assumptions.
The  resulting  theory correctly handles such difficult
matters  as  disjunctive information, shared steps, and
concurrent unrelated plans.