Derived forward rule

A rule that creates another rule, and a proof that shows both at work.

derived-rule.py · output · proof · check · playground


The question

Minka is a cat. Charly is a dog. We want a rule that only comes into play once a cat is around: “if there is a cat, then from now on, whenever there is a dog, conclude that the test is true.”

Does the rule get switched on, and does it then draw its conclusion?


What we tell eyekind

fact(type('Minka', 'Cat'))     # Minka is a cat
fact(type('Charly', 'Dog'))    # Charly is a dog

implies(type(X, 'Cat'),
  implies(type(Y, 'Dog'), t('test', 'is', 'true')))

implies(premise, conclusion) is a forward rule: whenever the premise holds, eyekind concludes the conclusion. Here the conclusion of the outer rule is itself a rule. So the outer rule does not add a fact; it adds a rule.

Capitalized names are variables. X belongs to the outer rule: it stands for whichever cat is found. Y appears only inside the inner rule, so it belongs to that rule alone: it stands for whichever dog is found, every time the inner rule is used.


What eyekind concludes

// Conclusions: the facts the program derives, in the order derived.
t('test', 'is', 'true')

The first line is a comment saying what follows. The one conclusion is the test fact: Minka switched the inner rule on, and Charly satisfied it. Nobody typed this fact in.


How eyekind reads the rule inside a rule

Before reasoning starts, eyekind rewrites the program so that every rule is visible up front. The inner rule becomes rule 4 with an extra condition, a switch, and the outer rule becomes the rule that flips that switch:

implies(type(X, 'Cat'), activated(4, []))                             # rule 3
implies([activated(4, []), type(Y, 'Dog')], t('test', 'is', 'true'))  # rule 4

activated(4, []) reads “rule 4 is switched on”. The 4 is the number of the rule it switches on; the empty list [] holds the values the outer rule hands over to the inner one. Here there are none, because the inner rule does not mention X. No rule is ever invented while the program runs, so eyekind can check the whole program, generated rules included, before it starts.


The proof, line by line

eyekind --proof writes down how it reached each conclusion. This is the complete proof:

// Conclusions: the facts the program derives, in the order derived.
t('test', 'is', 'true')

// Clauses: the program clauses the steps cite, by clause number.
clause(1, fact(type('Minka', 'Cat')))
clause(2, fact(type('Charly', 'Dog')))
clause(3, implies(type(X, 'Cat'), activated(4, [])))
clause(4, implies([activated(4, []), type(Y, 'Dog')], t('test', 'is', 'true')))

// Steps: each goal, what justifies it (a clause, a builtin, a control, or an
// absence or collection taken on trust), the bindings and the goals it uses.
step(t('test', 'is', 'true'), clause(4), {Y: 'Charly'}, [activated(4, []), type('Charly', 'Dog')])
step(activated(4, []), clause(3), {X: 'Minka'}, [type('Minka', 'Cat')])
step(type('Minka', 'Cat'), clause(1), {}, [])
step(type('Charly', 'Dog'), clause(2), {}, [])

It has three parts:

Read the steps as sentences:

  1. The test is true — by rule 4, with Y being Charly, because rule 4 is switched on and Charly is a dog.
  2. Rule 4 is switched on — by rule 3, with X being Minka, because Minka is a cat.
  3. Minka is a cat — fact 1; it uses nothing.
  4. Charly is a dog — fact 2; it uses nothing.

Every step leans only on steps listed below it, down to the two facts.


Checked: what the report says

A proof is only worth something if someone else can check it. eyekind -c generates the proof and checks it against the program; --check-proof checks a saved proof. The checker never reasons by itself: it only confirms each step against the program. This is the complete report:

// Checked answers: these follow from the input program.
t('test', 'is', 'true')

// C1-C8: resolution, acyclicity, justification, coverage,
// re-decision, boundary consistency, relevance and witness integrity.
condition('C1', 'resolution', 'ok', 4)
condition('C2', 'well_founded', 'ok', 4)
condition('C3', 'justification', 'ok', 4)
condition('C4', 'coverage', 'ok', 4)
condition('C5', 're_decision', 'ok', 0)
condition('C6', 'boundary_consistency', 'ok', 0)
condition('C7', 'relevance', 'ok', 5)
condition('C8', 'witness_integrity', 'ok', 0)

// Proof statistics: recorded steps and how they were checked.
steps(4)
verified(4)
recomputed(0)
composed(0)
trusted(0)
claims(1)

// This verdict applies to the claims above; it does not establish completeness.
verdict('checked')

Each condition line names a check, says 'ok', and counts what it looked at:

The statistics repeat this: 4 steps, all 4 verified against the program, none taken on trust. The verdict is checked: the test fact follows from the program. As the last comment says, this confirms the claim; it does not say the program has no other conclusions.


Try it

eyekind examples/derived-rule.py
eyekind --proof examples/derived-rule.py
eyekind -c examples/derived-rule.py
eyekind --check-proof examples/proof/derived-rule.py examples/derived-rule.py

Remove Minka’s fact: no cat, so rule 4 is never switched on, and there is no conclusion. Remove Charly’s fact instead: rule 4 is switched on but finds no dog. Change 'Cat' to 'Dog' in the outer rule: now Charly switches the rule on and satisfies it.


Takeaway

A rule can switch other rules on. Because eyekind writes the switched rule down before it starts, the proof can show exactly when it was switched on and why, and the checker can confirm both steps against the program.