NAL3 Truth Function Inconsistent with Docs

[automenta]

https://github.com/opennars/opennars2/blob/2.0.0_postdev1/src/nal/deriver/truth.clj#L101

(t-and c1 c2)

https://github.com/opennars/opennars2/blob/2.0.0_postdev1/docs/NAL-spec/NAL-3.tex#L206

c &=& or(and(not(f_1), c_1), and(not(f_2), c_2)) + and(f_1, c_1, f_2, c_2)

the preceding paragraph in the NAL spec explains:

When T 1 and T 2 are either highly
similar or opposite to each other, the compound terms produced by these
rules may not have much practical value. However, even when it happens,
it is an issue to be handled by inference control, not by logic.
In the confidence functions, each case for the conclusion to reach its
maximum is separately considered. The plus operator is used in place of an
or operator, because the two cases involved are mutually exclusive, rather
than independent of each other.

i had suspected a symmetric form of this function was missing for negated cases of certain truth functions. not only is the code missing the negated case, inconsistent for the positive case, but i see a possible mistake written for the unimplemented negated case. taking the intersection case as an example

c = or(and(not(f 1 ), c 1 ), and(not(f 2 ), c 2 )) + and(f 1 , c 1 , f 2 , c 2 )

the first component of this formula alone can produce confidence values higher than its conf inputs (ex: two 90% conf inputs producing a 98% conf output in one test case). no other truth functions compute a confidence combining freq and conf in an or( ) in this way.

my guess is that that '+' actually means max as the explanation seems to suggest, and that one of these variations will produce more reasonable confidence values for the various positive and negative combinations.

max(and(f1, f2, c1, c2), and( 1-f1, c1, 1-f2, c2 ))
max(and(f1, f2, c1, c2), and( or(1-f1, 1-f2), c1, c2 ))

otherwise please clarify the documentation and/or why the code seems inconsistent for these functions (including opennars 1.x)

[automenta]

max(and(f1, f2, c1, c2), and( and(1-f1, 1-f2), c1, c2 ))

[automenta]

https://github.com/opennars/opennars_googlecode/blob/master/nars/inference/TruthFunctions.java#L303

[automenta]

https://github.com/opennars/opennars_googlecode/blob/master/open-nars/src/com/googlecode/opennars/inference/TruthFunctions.java#L313

[automenta]

or maybe the c = and(c1,c2) is best but to handle the negation x negation case the frequency needs to involve max:
intersection: Math.max(and(f1, f2), and(1-f1, 1-f2))
union: Math.max(or(f1, f2), or(1-f1, 1-f2))

[automenta]

err
intersection: Math.max(and(f1, f2), 1-and(1-f1, 1-f2))
union: Math.max(or(f1, f2), 1-or(1-f1, 1-f2))
etc

[automenta]

n/m that doesnt make sense either

[pei2nars]

The NAL spec function is a previous version that tried to handle all the
cases together. The function in the new version in the NAL book (which is
the current code) separate the two-premise case from the one-premise cases,
and is conceptually simpler and practically equivalent -- when all the
rules are used, the choice rule will prefer the more confident conclusion,
so no additional max operator is needed.

On Mon, Aug 1, 2016 at 5:58 AM, automenta [email protected] wrote:

https://github.com/opennars/opennars2/blob/2.0.0_postdev1/src/nal/deriver/truth.clj#L101

(t-and c1 c2)

https://github.com/opennars/opennars2/blob/2.0.0_postdev1/docs/NAL-spec/NAL-3.tex#L206

c &=& or(and(not(f_1), c_1), and(not(f_2), c_2)) + and(f_1, c_1, f_2, c_2)

the preceding paragraph in the NAL spec explains:

When T 1 and T 2 are either highly
similar or opposite to each other, the compound terms produced by these
rules may not have much practical value. However, even when it happens,
it is an issue to be handled by inference control, not by logic.
In the confidence functions, each case for the conclusion to reach its
maximum is separately considered. The plus operator is used in place of an
or operator, because the two cases involved are mutually exclusive, rather
than independent of each other.

i had suspected a symmetric form of this function was missing for negated
cases of certain truth functions. not only is the code missing the negated
case, inconsistent for the positive case, but i see a possible mistake
written for the unimplemented negated case. taking the intersection case as
an example

c = or(and(not(f 1 ), c 1 ), and(not(f 2 ), c 2 )) + and(f 1 , c 1 , f 2 ,
c 2 )

the first component of this formula alone can produce confidence values
higher than its conf inputs (ex: two 90% conf inputs producing a 98% conf
output in one test case). no other truth functions compute a confidence
combining freq and conf in an or( ) in this way.

my guess is that that '+' actually means max as the explanation seems to
suggest, and that one of these variations will produce more reasonable
confidence values for the various positive and negative combinations.

max(and(f1, f2, c1, c2), and( 1-f1, c1, 1-f2, c2 ))
max(and(f1, f2, c1, c2), and( or(1-f1, 1-f2), c1, c2 ))

otherwise please clarify the documentation and/or why the code seems
inconsistent for these functions (including opennars 1.x)

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[automenta]

ok, thanks