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WHAT IS PRECISIATION

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usually Robert returns from work at about 6 pm. c: command. move closer. park the car. WHAT IS PRECISIATION? LAZ 09-12-00. i: instruction. drive slowly ... – PowerPoint PPT presentation

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Title: WHAT IS PRECISIATION


1
WHAT IS PRECISIATION?
L lexical entity (lexene)
p proposition c command i instruction q
question
L
LAZ 09-12-00
2
WHAT IS PRECISIATION?
  • p proposition
  • Michelle is slim
  • usually Robert returns from work at about 6 pm
  • c command
  • move closer
  • park the car

LAZ 09-12-00
3
WHAT IS PRECISIATION?
  • i instruction
  • drive slowly
  • use with adequate ventilation
  • q question
  • how old is Marie?
  • where does Carol live?

LAZ 09-12-00
4
PRECISIATION
  • key assumption
  • I know the meaning of L
  • what I need is the meaning of L expressed
    precisely and in a form that lends itself to
    computation and automated reasoning
  • key assumption
  • precisiation of c, i, and q can be reduced to
    precisation of p
  • key assumption
  • a proposition, p, is an answer to a question, q
  • in general, q is not unique

LAZ 09-12-00
5
PRECISIATION
  • precisiation calibration composition
  • calibration usually Robert returns from work
    at about 6 pm.

about 6 pm
usually
?
?
1
1
1
0
6 pm
time
0
proportion
LAZ 09-12-00
6
PRECISIATION
  • composition procedure which combines
    calibrations of constituents of p
  • in PNL, calibration and composition are
    procedures in CSNL (Constraint-Centered Semantics
    of Natural Languages)

LAZ 09-12-00
7
PRECISIATION
example rule set R if X is small
then Y is small if X is medium then
Y is large if X is large then Y
is small
?
large
small
medium
1
0
v
LAZ 09-12-00
8
PRECISIATION
composition
if X is small then Y is small
(X, Y) is small x small if X is medium
then Y is large (X, Y) is medium x large
if X is large then Y is small (X,
Y) is large x small R (X, Y) is
small x small medium x large large x small
composition
composition
LAZ 09-12-00
9
PRECISIATION
composition
if X is small then Y is small
Y/X is R1 if X is medium then Y
is large Y/X is R2
? R1 (u, v) 1 ? (1- ? small (u) ? small (v) )
composition
? R2 (u, v) 1 ? (1- ? medium (u) ? large (v) )
LAZ 09-12-00
10
PRECISIATION
if X is large then Y is small Y/X
is R3
composition
? R3 (u, v) 1 ? (1- ? large (u) ? small (v) )
R R1 ? R2 ? R3
LAZ 09-12-00
11
PRECISIATION
NL
GCL
PNL
precisiation translation
p
p
precisiation language
natural language
p
  • translate of p
  • generalized constraint
  • propositions in NL which are precisiable through
    translation into GCL
  • CSNL constraint- centered semantics of natural
    languages

GCL is a mathematical language
PNL
LAZ 09-12-00
12
A FUNDAMENTAL LIMITATION OF EXISTING
SCIENTIFIC THEORIES
  • inability to process perception-based
    information expressed in a natural language
  • PNL adds to existing scientific theories the
    capability to compute and reason with
    perception-based information expressed in a
    natural language

LAZ 09-15-00
13
NEW DIRECTIONS IN EVOLUTION OF FUZZY LOGIC
  • Granular Computing GrC
  • Computing with Words CW
  • Computational Theory of Perception CTP
  • Precisiated Natural Language PNL
  • Perception-Based Theory of Probabilistic
    Reasoning PTp

LAZ 09-22-00
14
NEW DIRECTIONS IN EVOLUTION OF FUZZY LOGIC
  • Perception-Based Decision Analysis DAp
  • Information Orthogonality
  • Generalized Definability
  • Pseudo-X

LAZ 09-22-00
15
OPTIMAL SOLUTION MAXIMIZING SOLUTION?
Gain
0
u
Maximizing Solution
  • Single-Criterion Optimality requires, in
    reality, multi-criterion optimization expressed
    in PNL

LAZ 09-22-00
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