feat: add beliefs with evidence-derived confidence, contradictions and corrections

Phase 6. Beliefs are propositions with a prior set by epistemic kind and a
confidence computed from typed evidence: sigmoid(logit(prior) + slope ×
(support × diversity − opposition)), where support from a single source
is discounted so repetition cannot manufacture certainty, and bounds keep
the mind away from absolute certainty. Every evaluation stores its
breakdown and appends a version row protected by the append-only
trigger; the belief page shows the arithmetic, evidence for and against,
alternatives, contradictions and history.

Contradiction detection is deterministic first (negation plus token
overlap): a hit emits contradiction_detected, links both beliefs and
makes each counter-evidence for the other so both trend to contested.
Operators can assert beliefs (their statement is the evidence), add
evidence, mark a belief wrong (pinned rejected, history kept) and forbid
an inference; do-not-infer corrections block matching hypotheses.
Retracting a memory retracts the evidence that cited it and re-evaluates
the beliefs concerned.

The associate process proposes low-confidence causal hypotheses from
co-occurring notable observations, and the hypothesis handler turns
admitted ones into beliefs with automatic alternatives, closing demo
scenarios 1 and 2 without any model call.
This commit is contained in:
Andy Dixon
2026-06-21 22:14:12 +01:00
parent 03631e5685
commit 73e5753a91
29 changed files with 2344 additions and 20 deletions
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// Package beliefs manages propositions held with explicit, evidence-derived
// confidence. Confidence is arithmetic over evidence weights and source
// credibility; no model ever sets it directly (spec §10, §62).
package beliefs
import (
"math"
"sort"
"github.com/andydixon/noema/pkg/concepts"
)
// Status of a belief.
type Status string
// Statuses in rough order of commitment.
const (
StatusHypothesis Status = "hypothesis"
StatusTentative Status = "tentative"
StatusLikely Status = "likely"
StatusAccepted Status = "accepted"
StatusContested Status = "contested"
StatusRejected Status = "rejected"
StatusSuperseded Status = "superseded"
)
// Valid reports whether s is known.
func (s Status) Valid() bool {
switch s {
case StatusHypothesis, StatusTentative, StatusLikely, StatusAccepted, StatusContested, StatusRejected, StatusSuperseded:
return true
}
return false
}
// Slope converts net evidence into log-odds. 1.5 means one unit of fully
// credible evidence moves 0.5 to about 0.82.
const Slope = 1.5
// Bounds keep beliefs away from certainty unless an operator pins a fact.
const (
MinConfidence = 0.02
MaxConfidence = 0.98
)
// PriorFor returns the starting confidence for an epistemic kind.
func PriorFor(e concepts.Epistemic) float64 {
switch e {
case concepts.Hypothesis, concepts.Inference:
return 0.25
case concepts.Assumption, concepts.Opinion:
return 0.4
case concepts.Claim:
return 0.5
case concepts.Observation, concepts.Memory:
return 0.6
case concepts.Fact:
return 0.8
default:
return 0.5
}
}
// Evidence is one piece of support or opposition.
type Evidence struct {
Direction string `json:"direction"` // for | against
Kind string `json:"kind"`
RefID string `json:"ref_id"`
Source string `json:"source"`
Weight float64 `json:"weight"` // how strongly it bears on the proposition, (0,1]
Credibility float64 `json:"credibility"` // trust in the source, [0,1]
Retracted bool `json:"retracted"`
}
// Breakdown explains a confidence value.
type Breakdown struct {
Prior float64 `json:"prior"`
For float64 `json:"for"` // Σ weight×credibility, supporting
Against float64 `json:"against"` // Σ weight×credibility, opposing
SourcesFor int `json:"sources_for"` // distinct sources supporting
DiversityScale float64 `json:"diversity_scale"` // discount when support comes from one source
LogOdds float64 `json:"log_odds"`
Confidence float64 `json:"confidence"`
Formula string `json:"formula"`
Notes []string `json:"notes,omitempty"`
}
// Compute derives confidence from prior and evidence. Support from a single
// source is discounted (T4: poisoned memory) so repetition alone cannot make
// a belief strong.
func Compute(prior float64, ev []Evidence) Breakdown {
b := Breakdown{Prior: clampP(prior), Formula: "confidence = sigmoid(logit(prior) + slope × (for × diversity − against))"}
sources := map[string]struct{}{}
for _, e := range ev {
if e.Retracted || e.Weight <= 0 {
continue
}
v := clamp01(e.Weight) * clamp01(e.Credibility)
if e.Direction == "against" {
b.Against += v
continue
}
b.For += v
key := e.Source
if key == "" {
key = e.Kind + ":" + e.RefID
}
sources[key] = struct{}{}
}
b.SourcesFor = len(sources)
// One source: 60% of face value; three or more independent sources: full.
b.DiversityScale = 1
if b.SourcesFor > 0 {
b.DiversityScale = round4(0.6 + 0.4*math.Min(1, float64(b.SourcesFor-1)/2))
}
if b.SourcesFor == 1 && b.For > 0 {
b.Notes = append(b.Notes, "all support comes from a single source")
}
logit := math.Log(b.Prior / (1 - b.Prior))
b.LogOdds = logit + Slope*(b.For*b.DiversityScale-b.Against)
b.Confidence = clampP(1 / (1 + math.Exp(-b.LogOdds)))
b.For, b.Against, b.LogOdds, b.Confidence = round4(b.For), round4(b.Against), round4(b.LogOdds), round4(b.Confidence)
return b
}
// Derive maps a breakdown to a status. Contested requires real evidence on
// both sides; rejected requires the evidence to have pushed confidence low.
func Derive(b Breakdown, epistemic concepts.Epistemic) Status {
if b.For > 0 && b.Against > 0 && b.Against >= 0.5*b.For*b.DiversityScale && b.Confidence >= 0.2 && b.Confidence <= 0.8 {
return StatusContested
}
switch {
case b.Confidence < 0.15:
return StatusRejected
case b.For == 0 && epistemic == concepts.Hypothesis:
return StatusHypothesis
case b.Confidence < 0.5:
if epistemic == concepts.Hypothesis {
return StatusHypothesis
}
return StatusTentative
case b.Confidence < 0.7:
return StatusTentative
case b.Confidence < 0.85:
return StatusLikely
default:
return StatusAccepted
}
}
func clampP(v float64) float64 {
if math.IsNaN(v) || v < MinConfidence {
return MinConfidence
}
if v > MaxConfidence {
return MaxConfidence
}
return v
}
func clamp01(v float64) float64 {
if math.IsNaN(v) || v < 0 {
return 0
}
if v > 1 {
return 1
}
return v
}
func round4(v float64) float64 { return math.Round(v*10000) / 10000 }
// negations are the words that flip a proposition's polarity for the
// deterministic contradiction check.
var negations = map[string]bool{"not": true, "no": true, "never": true, "isn't": true, "isnt": true, "doesn't": true, "doesnt": true, "don't": true, "dont": true, "cannot": true, "can't": true, "cant": true, "wasn't": true, "didn't": true, "won't": true, "unlikely": true, "false": true}
// Polarity splits a proposition into its content tokens and whether it is negated.
func Polarity(text string) (tokens []string, negated bool) {
for _, w := range tokenise(text) {
if negations[w] {
negated = !negated
continue
}
tokens = append(tokens, w)
}
sort.Strings(tokens)
return tokens, negated
}
// Jaccard similarity of two token lists.
func Jaccard(a, b []string) float64 {
if len(a) == 0 || len(b) == 0 {
return 0
}
set := map[string]bool{}
for _, w := range a {
set[w] = true
}
inter := 0
seenB := map[string]bool{}
for _, w := range b {
if seenB[w] {
continue
}
seenB[w] = true
if set[w] {
inter++
}
}
union := len(set) + len(seenB) - inter
return float64(inter) / float64(union)
}
// Contradicts reports whether two propositions are the same content with
// opposite polarity (deterministic first pass; paraphrase judgement can be
// added by an LLM-assisted process later).
func Contradicts(a, b string) (bool, float64) {
ta, na := Polarity(a)
tb, nb := Polarity(b)
sim := Jaccard(ta, tb)
if na != nb && sim >= 0.6 {
return true, round4(sim)
}
return false, round4(sim)
}
var stop = map[string]bool{"the": true, "a": true, "an": true, "is": true, "are": true, "was": true, "were": true, "be": true, "been": true, "of": true, "to": true, "in": true, "on": true, "at": true, "for": true, "and": true, "or": true, "that": true, "this": true, "it": true, "has": true, "have": true, "had": true, "with": true, "by": true, "as": true, "may": true, "might": true, "probably": true, "likely": true}
func tokenise(text string) []string {
var out []string
var cur []rune
flush := func() {
if len(cur) >= 2 {
w := string(cur)
if !stop[w] {
out = append(out, w)
}
}
cur = cur[:0]
}
for _, r := range text {
switch {
case r >= 'A' && r <= 'Z':
cur = append(cur, r+32)
case r >= 'a' && r <= 'z' || r >= '0' && r <= '9' || r == '\'' || r == '-' || r == '_' || r == '.':
cur = append(cur, r)
default:
flush()
}
}
flush()
return out
}