Phase 9. Goals form a mind-scoped tree with kind, priority, progress and blockers; their deterministic relevance to a candidate feeds the goal_relevance attention feature and a goal monitor raises stalled goals and observations that touch one. Drives are a closed set of eight scalars with operator-configured ranges and personality-derived baselines; there is no self-preservation, replication or acquisition drive and no way to add one at runtime. Affect is ten scalars moved by an explicit rule table over events and decaying towards baseline; both modulate attention weights each cycle and the effective weights are recorded with every cycle and shown beside the configured ones. Predictions carry a window and machine-checkable criteria (event terms occurring or staying absent, a belief reaching a confidence, or operator judgement). A resolver job judges them deterministically, keeps an append-only outcome history for calibration (accuracy, Brier score, confidence buckets, overconfidence flag), emits prediction_error events scaled by how confident the miss was, and feeds the outcome back into the linked belief as evidence. Causal hypotheses derive predictions automatically. Curiosity turns misses, contradictions and unexplained observations into questions that compete for attention and become investigation goals when admitted. Brain gains after-cycle hooks and goal/motivation state. API, UI (goals, prediction dashboard, cognitive state panel, effective weights) and CLI (goal, prediction, state). Demo scenario 4 verified end to end.
97 lines
4.8 KiB
Go
97 lines
4.8 KiB
Go
package cognition
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import (
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"context"
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"strings"
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"time"
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"github.com/andydixon/noema/internal/attention"
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"github.com/andydixon/noema/internal/brain"
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"github.com/andydixon/noema/internal/goals"
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"github.com/andydixon/noema/internal/workspace"
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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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// GoalMonitor watches the goal tree: stalled goals are raised for attention,
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// and goals whose subject appears in new events get a progress nudge
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// candidate. It never completes a goal on its own; that needs evidence or
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// an operator.
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type GoalMonitor struct {
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StallAfter time.Duration
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}
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// Name implements brain.Process.
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func (GoalMonitor) Name() string { return "goal-monitor" }
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// Observe implements brain.Process.
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func (g GoalMonitor) Observe(ctx context.Context, s *brain.State) ([]brain.Candidate, error) {
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if s.Services.Goals == nil {
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return nil, nil
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}
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stall := g.StallAfter
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if stall <= 0 {
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stall = 24 * time.Hour
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}
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var out []brain.Candidate
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stalled, _ := s.Services.Goals.Stalled(ctx, s.Mind.ID, stall)
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for i, gl := range stalled {
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if i >= 3 {
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break
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}
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out = append(out, brain.Candidate{Kind: "goal", Subject: string(gl.ID), Summary: "goal stalled: " + gl.Title,
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Content: map[string]any{"goal_id": string(gl.ID), "reason": "no progress for " + stall.String(), "ref": string(gl.ID)},
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Features: attention.Features{Salience: 0.4, GoalRelevance: gl.Priority, Consequence: 0.5 * gl.Priority, Urgency: 0.3, Confidence: 1}, Confidence: 1,
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Evidence: []events.EvidenceRef{{Kind: "goal", ID: string(gl.ID)}}})
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}
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// New external events touching a goal's subject.
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for _, ev := range s.NewEvents {
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if strings.HasPrefix(ev.Source, "brain") || ev.Type != events.Observation {
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continue
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}
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if rel, id := goals.Relevance(ev.Summary, s.Goals); rel >= 0.5 && !id.IsZero() {
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out = append(out, brain.Candidate{Kind: "goal", Subject: string(id) + ":" + string(ev.ID), Summary: "evidence for a goal: " + truncate(ev.Summary, 100),
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Content: map[string]any{"goal_id": string(id), "reason": "new observation relevant to the goal", "source_event": string(ev.ID), "relevance": rel, "ref": string(id)},
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Features: attention.Features{Salience: ev.Salience * 0.7, GoalRelevance: rel, Consequence: 0.4, Confidence: 1}, Confidence: 1, SourceEvents: []ids.ID{ev.ID},
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Evidence: []events.EvidenceRef{{Kind: "goal", ID: string(id)}, {Kind: "event", ID: string(ev.ID)}}})
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}
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}
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return out, nil
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}
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// goal handles admitted goal thoughts: holds the goal in working memory and
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// records that it was attended (progress nudges are logged, not invented).
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func (h Handlers) goal(ctx context.Context, c *brain.Cycle, t workspace.Thought) error {
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gid, _ := t.Content["goal_id"].(string)
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reason, _ := t.Content["reason"].(string)
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src, _ := t.Content["source_event"].(string)
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c.Runtime.Hold(workspace.Item{Key: "goal:" + gid, Content: t.Summary, Kind: "goal", Ref: gid, SourceEvent: ids.ID(src)})
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c.Emit(events.New{Type: events.GoalUpdated, Source: "brain.goals", Summary: t.Summary + " (" + reason + ")", Salience: t.Score, Confidence: 1, CausationID: t.EventID,
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Evidence: t.Evidence, Metadata: map[string]any{"goal_id": gid, "attended": true}, Payload: map[string]any{"goal_id": gid, "reason": reason}})
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return nil
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}
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// question handles admitted curiosity questions: an investigation goal is
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// created (once per subject) so the question persists beyond the workspace.
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func (h Handlers) question(ctx context.Context, c *brain.Cycle, t workspace.Thought) error {
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if c.State.Services.Goals == nil {
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return nil
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}
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subject, _ := t.Content["subject"].(string)
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question, _ := t.Content["question"].(string)
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src, _ := t.Content["source_event"].(string)
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if existing, err := c.State.Services.Goals.FindBySubject(ctx, c.Tx, c.State.Mind.ID, goals.KindInvestigation, subject); err == nil {
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c.Runtime.Hold(workspace.Item{Key: "goal:" + string(existing.ID), Content: existing.Title, Kind: "goal", Ref: string(existing.ID)})
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return nil
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}
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prio := 0.3 + 0.4*c.State.Motiv.Affect.Curiosity
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g, err := c.State.Services.Goals.Create(ctx, c.Tx, goals.New{MindID: c.State.Mind.ID, Title: question, Kind: goals.KindInvestigation, Priority: prio, Subject: subject, Owner: "mind", OriginEvent: t.EventID})
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if err != nil {
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return err
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}
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c.Emit(events.New{Type: events.GoalCreated, Source: "brain.curiosity", Summary: "curious: " + question, Salience: 0.4 + 0.3*prio, Confidence: 0.6, CausationID: t.EventID, ParentIDs: []ids.ID{t.EventID, ids.ID(src)},
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Evidence: append(t.Evidence, events.EvidenceRef{Kind: "goal", ID: string(g.ID)}), Metadata: map[string]any{"goal_id": string(g.ID), "kind": g.Kind, "priority": prio}, Payload: g})
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c.Runtime.Hold(workspace.Item{Key: "goal:" + string(g.ID), Content: "investigating: " + question, Kind: "goal", Ref: string(g.ID), SourceEvent: ids.ID(src)})
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return nil
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}
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