Merin (1999) — Why Not Speak Notspeak #
[Mer99b] "Negative Attributes, Partitions, and Rational Decisions" gives a decision-theoretic rationale for attribute spaces being partitions and a purely epistemic, syntax-independent characterization of negative attributes as proper coarsenings.
Formalized:
- FACT 1 (p. 261): the complements of a partition's cells form a
partition iff the partition is binary (
compl_isPartition_iff). - FACT 3 (p. 261): complement probabilities sum to
n − 1(sum_compl_prob); they form a distribution iffn = 2(sum_compl_prob_eq_one_iff, Merin's FACT 2). - Coarsening (p. 262):
IsProperCoarsening; negation-induced binary partitions (binaryPartition,complement_same_partition). - FACT 4 (p. 263):
{P, ¬P}is the coarsestP-preserving coarsening (binaryPartition_coarsens). - Negative attributes (p. 263):
Ris negative w.r.t. partitionFiff{R, Q}properly coarsensFfor some cellQ ∈ F(IsNegativeAttribute). - EU compositionality under coarsening (p. 264): partition-relative
expected utility is the law of total expectation
(
eu_eq_partitionEU), and a coarsening's cell terms regroup the finer partition's terms (partitionEU_coarsening_regroup).
Not formalized: FACT 5 (pp. 264–265), that re-coverings which neither coarsen nor refine fail compositionality (an existence claim over discrete measures), and the [Joh86] conditional-independence result motivating binary partitions in epistemic kinetics (§8, cited by Merin, not proved there).
FACT 1: complement families #
FACT 1 ([Mer99b] p. 261): for a partition F of a
nonempty type, the complements of its cells form a partition iff F
has exactly two cells.
FACT 3: complement probabilities #
FACT 3 ([Mer99b] p. 261): under a proper prior, the
probabilities of the complements of a partition's cells sum to n − 1,
n the number of cells.
Merin's FACT 2 ([Mer99b] p. 261), summed form: the
complement probabilities form a probability distribution (sum to 1)
iff the partition is binary.
Coarsening and negative attributes #
Binary partition from a Boolean predicate: two elements are equivalent iff the predicate agrees on both. Negation-induced repartitioning yields exactly these ([Mer99b] §8).
Equations
Instances For
Complement predicates induce the same binary partition: a proposition and its negation carry the same information.
Q properly coarsens Q' over a finite domain: Q coarsens Q' with strictly fewer cells ([Mer99b] p. 262 definition).
Equations
- Merin1999.IsProperCoarsening q q' elements = (q.coarsens q' ∧ q.numCells elements < q'.numCells elements)
Instances For
FACT 4 ([Mer99b] p. 263): {P, ¬P} is the coarsest
P-preserving coarsening. Any partition whose cells respect P — in
particular any P-preserving coarsening of a given partition — is
refined by the binary partition of P.
R is a negative attribute with respect to q
([Mer99b] p. 263): the complement of R is a cell of q,
and the two-cell partition {R, ¬R} properly coarsens q. Negativity
is epistemic (partition-kinetic), not morphological.
Equations
- Merin1999.IsNegativeAttribute R q elements = ((∃ (w : M), ∀ (v : M), q.sameAnswer w v = true ↔ R v = false) ∧ Merin1999.IsProperCoarsening (Merin1999.binaryPartition R) q elements)
Instances For
EU compositionality under coarsening #
Expected utility computed via a partition: weight each cell's
conditional EU by the cell's probability
(EU_Q(a) = Σ_{c ∈ cells Q} P(c) · EU(a | c)).
Equations
- Merin1999.partitionEU dp q a = ∑ cell ∈ q.toCellsFinset Finset.univ, cell.sum dp.prior * dp.condExpectedUtility cell a
Instances For
Law of total expectation: the unconditional expected utility equals the partition-relative EU, for any partition (non-negative priors).
Partition-relative EU is partition-independent: any two partitions compute the unconditional EU. [Mer99b] p. 264 is the coarsening instance; the paper's FACT 5 — that non-coarsening re-coverings fail term-by-term re-usability — is not formalized.
EU compositionality under coarsening ([Mer99b] p. 264): each coarse cell's term is the sum of the terms of the fine cells it groups, so a coarsening re-uses the finer partition's computations.