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.
146 lines
6.4 KiB
Go
146 lines
6.4 KiB
Go
package cognition
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import (
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"strings"
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"github.com/andydixon/noema/internal/beliefs"
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"github.com/andydixon/noema/internal/brain"
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"github.com/andydixon/noema/internal/memory"
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"github.com/andydixon/noema/internal/storage"
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"github.com/andydixon/noema/internal/workspace"
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"github.com/andydixon/noema/pkg/concepts"
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"github.com/andydixon/noema/pkg/events"
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"github.com/andydixon/noema/pkg/ids"
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)
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// Handlers are the executive actions for admitted thought kinds.
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type Handlers struct {
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Memory *memory.Store
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Beliefs *beliefs.Store
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}
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// Register installs the handlers on a registry.
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func (h Handlers) Register(r *brain.Registry) {
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r.Handle("attend", h.attend)
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r.Handle("retrieve", h.retrieve)
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r.Handle("hypothesis", h.hypothesis)
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}
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// emitter adapts the cycle to the beliefs store's Emitter.
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func emitter(c *brain.Cycle) beliefs.Emitter {
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return func(ctx context.Context, _ storage.Querier, n events.New) (events.Event, error) {
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return c.EmitNow(ctx, n)
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}
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}
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// hypothesis turns an admitted hypothesis candidate into a belief whose
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// confidence is computed from the cited observations. Temporal co-occurrence
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// is weak evidence, so weights are small and the result stays a hypothesis
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// until independent support arrives.
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func (h Handlers) hypothesis(ctx context.Context, c *brain.Cycle, t workspace.Thought) error {
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if h.Beliefs == nil {
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return nil
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}
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prop, _ := t.Content["proposition"].(string)
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if prop == "" {
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prop = strings.TrimPrefix(t.Summary, "hypothesis: ")
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}
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var ev []beliefs.EvidenceInput
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for _, ref := range t.Evidence {
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if ref.Kind != "event" {
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continue
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}
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cred := 0.6
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if e, err := c.Runtime.Events().Get(ctx, ids.ID(ref.ID)); err == nil {
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var p events.ObservationPayload
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if json.Unmarshal(e.Payload, &p) == nil && p.Trust.Valid() {
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cred = p.Trust.Credibility()
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}
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}
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ev = append(ev, beliefs.EvidenceInput{Direction: "for", Kind: "event", RefID: ref.ID, Source: "co-occurrence:" + ref.ID, Weight: 0.15, Credibility: cred, Note: "temporal co-occurrence (" + ref.Note + ")"})
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}
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res, err := h.Beliefs.Create(ctx, c.Tx, emitter(c), beliefs.New{MindID: c.State.Mind.ID, Proposition: prop, Epistemic: concepts.Hypothesis, Source: "brain.associate",
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Evidence: ev, Alternatives: []string{"coincidence: the two events are unrelated", "a third factor caused both"}, OriginEvent: t.EventID, Causation: t.EventID, Correlation: c.State.CycleID,
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Detail: map[string]any{"cause_event": t.Content["cause_event"], "effect_event": t.Content["effect_event"], "gap_seconds": t.Content["gap_seconds"]}})
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if err != nil {
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if errors.Is(err, beliefs.ErrBlocked) {
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c.Emit(events.New{Type: events.Metacognition, Source: "brain.executive", Summary: "hypothesis blocked by operator correction: " + prop, Salience: 0.3, Confidence: 1, Metadata: map[string]any{"check": "do_not_infer"}})
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return nil
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}
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return err
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}
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c.Runtime.Hold(workspace.Item{Key: "belief:" + string(res.Belief.ID), Content: "hypothesis (" + fmt.Sprintf("%.2f", res.Belief.Confidence) + "): " + prop, Kind: "thought", Ref: string(res.Belief.ID), SourceEvent: t.EventID})
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return nil
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}
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// attend encodes the attended event as a memory and holds it in working
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// memory. Only attended events become episodes: attention gates encoding.
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func (h Handlers) attend(ctx context.Context, c *brain.Cycle, t workspace.Thought) error {
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evID, _ := t.Content["source_event"].(string)
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var mem memory.Memory
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if h.Memory != nil && evID != "" {
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ev, err := c.Runtime.Events().Get(ctx, ids.ID(evID))
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if err == nil {
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n := memory.New{MindID: c.State.Mind.ID, Kind: concepts.Episodic, Epistemic: concepts.Observation, Content: ev.Summary, Source: ev.Source,
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Trust: events.TrustLow, Confidence: ev.Confidence, Importance: t.Score, Salience: ev.Salience, Valence: ev.Valence, Arousal: ev.Arousal, OccurredAt: ev.OccurredAt, OriginEvent: ev.ID,
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Detail: map[string]any{"event_type": ev.Type, "participants": []string{}}}
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switch ev.Type {
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case events.Observation:
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var p events.ObservationPayload
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if json.Unmarshal(ev.Payload, &p) == nil {
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if p.Text != "" {
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n.Content = p.Text
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}
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n.Trust = p.Trust
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n.Detail["channel"], n.Detail["reference"], n.Detail["method"] = p.Channel, p.Reference, p.Method
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if p.Actor != "" {
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n.Detail["participants"] = []string{p.Actor}
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}
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}
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case events.OperatorAction:
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n.Kind, n.Trust, n.Importance = concepts.Autobiographical, events.TrustOperator, max(t.Score, 0.6)
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n.Content = "An operator changed me: " + ev.Summary
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default:
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n.Trust = events.TrustSystem
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}
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mem, err = h.Memory.Create(ctx, c.Tx, n)
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if err != nil {
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return fmt.Errorf("encode memory: %w", err)
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}
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c.Emit(events.New{Type: events.MemoryCreated, Source: "brain.memory", Summary: fmt.Sprintf("encoded %s memory: %s", mem.Kind, truncate(mem.Content, 120)),
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Salience: 0.3, Confidence: mem.Confidence, CausationID: t.EventID, ParentIDs: []ids.ID{t.EventID, ev.ID},
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Evidence: []events.EvidenceRef{{Kind: "memory", ID: string(mem.ID)}, {Kind: "event", ID: string(ev.ID), Note: "source"}},
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Metadata: map[string]any{"memory_id": mem.ID, "kind": mem.Kind}, Payload: map[string]any{"memory_id": mem.ID, "kind": mem.Kind, "importance": mem.Importance, "trust": mem.Trust}})
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}
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}
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item := workspace.Item{Key: "attend:" + t.Subject, Content: t.Summary, Kind: "observation", SourceEvent: ids.ID(evID)}
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if !mem.ID.IsZero() {
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item.Ref = string(mem.ID)
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}
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c.Runtime.Hold(item)
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return nil
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}
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// retrieve reinforces a recalled memory, records the retrieval with its
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// scoring components, and holds it in working memory.
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func (h Handlers) retrieve(ctx context.Context, c *brain.Cycle, t workspace.Thought) error {
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ref, _ := t.Content["ref"].(string)
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if h.Memory == nil || ref == "" {
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return nil
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}
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mid := ids.ID(ref)
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if err := h.Memory.Reinforce(ctx, c.Tx, c.State.Mind.ID, mid); err != nil {
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return err
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}
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src, _ := t.Content["source_event"].(string)
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c.Emit(events.New{Type: events.MemoryRetrieved, Source: "brain.memory", Summary: t.Summary, Salience: t.Score, Confidence: t.Confidence,
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CausationID: t.EventID, ParentIDs: []ids.ID{t.EventID}, Evidence: t.Evidence,
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Metadata: map[string]any{"memory_id": mid, "score": t.Content["score"]}, Payload: map[string]any{"memory_id": mid, "score": t.Content["score"], "components": t.Content["components"], "query": t.Content["query"]}})
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c.Runtime.Hold(workspace.Item{Key: "memory:" + ref, Content: t.Summary, Kind: "retrieval", Ref: ref, SourceEvent: ids.ID(src)})
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return nil
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}
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