feat: add goals, drives, affect state, predictions and curiosity
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.
This commit is contained in:
@@ -11,6 +11,7 @@ import (
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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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@@ -56,6 +57,7 @@ func (Attend) Observe(_ context.Context, s *brain.State) ([]brain.Candidate, err
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f := attention.Features{Salience: ev.Salience, Confidence: ev.Confidence, Consequence: 0.4}
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f.Urgency = urgency(toks)
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f.ContextRelevance = workspace.Overlap(toks, ctxTokens)
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f.GoalRelevance, _ = goals.Relevance(text, s.Goals)
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f.Novelty = 1 - f.ContextRelevance*0.7 // things we are already holding are less novel
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switch trust {
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case events.TrustOperator:
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@@ -0,0 +1,125 @@
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package cognition
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import (
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"context"
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"encoding/json"
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"strings"
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"github.com/andydixon/noema/internal/attention"
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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/pkg/events"
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"github.com/andydixon/noema/pkg/ids"
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)
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// Curiosity proposes questions about unexplained observations, prediction
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// errors and contradictions. Its output is questions and investigation goals
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// only; it never grants or requests permission to act (spec §12).
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type Curiosity struct{}
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// Name implements brain.Process.
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func (Curiosity) Name() string { return "curiosity" }
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// Observe implements brain.Process.
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func (Curiosity) Observe(ctx context.Context, s *brain.State) ([]brain.Candidate, error) {
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drive := 0.5
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for _, d := range s.Motiv.Drives {
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if d.Name == "curiosity" {
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drive = d.Value
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}
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}
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var out []brain.Candidate
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for _, ev := range s.NewEvents {
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if strings.HasPrefix(ev.Source, "brain") && ev.Type != events.PredictionError && ev.Type != events.ContradictionDetected {
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continue
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}
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switch ev.Type {
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case events.PredictionError:
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stmt, _ := payloadField(ev, "statement")
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q := "Why was my prediction wrong: " + truncate(stmt, 120) + "?"
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out = append(out, curiosityCandidate(ev, q, "prediction:"+ev.Metadata["prediction_id"].(string), 0.8, drive))
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case events.ContradictionDetected:
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q := "Which is right: " + truncate(ev.Summary, 140) + "?"
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out = append(out, curiosityCandidate(ev, q, "contradiction:"+fmtID(ev.Metadata["belief_id"])+"+"+fmtID(ev.Metadata["other_id"]), 0.7, drive))
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case events.Observation:
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if ev.Metadata["conversation_id"] != nil || ev.Salience < 0.5 {
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continue
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}
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text := ev.Summary
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var p events.ObservationPayload
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if json.Unmarshal(ev.Payload, &p) == nil && p.Text != "" {
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text = p.Text
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}
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if urgency(tokenise(text)) < 0.5 {
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continue
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}
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// Unexplained: no belief and no memory speaks to it.
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explained := false
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if s.Services.Beliefs != nil {
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if bs, _ := s.Services.Beliefs.Search(ctx, s.Mind.ID, text, 3); hasLive(bs) {
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explained = true
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}
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}
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if !explained && s.Services.Memory != nil {
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if hits, _ := s.Services.Memory.Retrieve(ctx, s.Mind.ID, memory.Query{Text: text, Limit: 3, Now: s.Now}); len(hits) > 0 && hits[0].Score >= 0.6 && hits[0].Memory.OriginEvent != ev.ID {
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explained = true
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}
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}
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if explained {
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continue
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}
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q := "Why did this happen: " + truncate(text, 120) + "?"
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out = append(out, curiosityCandidate(ev, q, "unexplained:"+subjectKey(text), 0.5, drive))
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}
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}
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return out, nil
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}
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func curiosityCandidate(ev events.Event, question, subject string, weight, drive float64) brain.Candidate {
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return brain.Candidate{Kind: "question", Subject: subject, Summary: "question: " + question,
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Content: map[string]any{"question": question, "subject": subject, "source_event": string(ev.ID)},
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// A failed prediction or a contradiction is an unresolved conflict between what
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// was expected and what was seen, so the contradiction feature is set for both.
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Features: attention.Features{Salience: 0.4 + 0.45*weight, Novelty: 0.6 + 0.3*drive, Consequence: 0.5 + 0.3*weight, Urgency: 0.4 * weight, Confidence: 0.5,
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Contradiction: boolf(ev.Type == events.ContradictionDetected || ev.Type == events.PredictionError)},
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Confidence: 0.5, SourceEvents: []ids.ID{ev.ID}, Evidence: []events.EvidenceRef{{Kind: "event", ID: string(ev.ID), Note: "prompted the question"}}}
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}
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func hasLive(bs []beliefs.Belief) bool {
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for _, b := range bs {
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if b.Status != beliefs.StatusRejected && b.Status != beliefs.StatusSuperseded {
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return true
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}
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}
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return false
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}
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func boolf(b bool) float64 {
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if b {
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return 1
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}
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return 0
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}
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func fmtID(v any) string {
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if s, ok := v.(string); ok {
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return s
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}
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return ""
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}
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// subjectKey reduces text to its three most distinctive tokens so the same
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// unexplained situation yields the same question subject.
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func subjectKey(text string) string {
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toks := tokenise(text)
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var keep []string
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for _, t := range toks {
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if len(t) >= 4 && len(keep) < 3 {
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keep = append(keep, t)
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}
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}
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return strings.Join(keep, "+")
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}
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func tokenise(text string) []string { return tokeniseWS(text) }
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@@ -0,0 +1,96 @@
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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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@@ -6,11 +6,13 @@ import (
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"errors"
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"fmt"
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"strings"
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"time"
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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/conversation"
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"github.com/andydixon/noema/internal/memory"
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"github.com/andydixon/noema/internal/predictions"
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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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@@ -31,6 +33,8 @@ func (h Handlers) Register(r *brain.Registry) {
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r.Handle("retrieve", h.retrieve)
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r.Handle("hypothesis", h.hypothesis)
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r.Handle("perceive", h.perceive)
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r.Handle("goal", h.goal)
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r.Handle("question", h.question)
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}
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// emitter adapts the cycle to the beliefs store's Emitter.
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@@ -77,9 +81,41 @@ func (h Handlers) hypothesis(ctx context.Context, c *brain.Cycle, t workspace.Th
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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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// A causal hypothesis implies a checkable expectation: the effect recurs
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// after the cause. Its confidence is the belief's, so a miss will lower it.
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if c.State.Services.Predictions != nil {
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effect, _ := t.Content["effect_event"].(string)
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if ev, err := c.Runtime.Events().Get(ctx, ids.ID(effect)); err == nil {
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terms := distinctiveTerms(ev.Summary, 3)
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if len(terms) > 0 {
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p, err := c.State.Services.Predictions.Create(ctx, c.Tx, predictions.New{MindID: c.State.Mind.ID, Statement: "something like \"" + truncate(ev.Summary, 80) + "\" will recur within 24 hours if the cause is real",
|
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Subject: subjectKey(ev.Summary), Confidence: res.Belief.Confidence, WindowEnd: c.State.Now.Add(24 * time.Hour),
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Criteria: predictions.Criteria{Kind: "event_match", Expect: "occurs", Terms: terms, MinTerms: min(2, len(terms))}, Source: "brain.associate", OriginEvent: res.Events[0].ID, BeliefID: res.Belief.ID})
|
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if err == nil {
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c.Emit(events.New{Type: events.PredictionCreated, Source: "brain.associate", Summary: fmt.Sprintf("predicted (%.2f): %s", p.Confidence, p.Statement), Salience: 0.3, Confidence: p.Confidence, CausationID: res.Events[0].ID,
|
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Evidence: []events.EvidenceRef{{Kind: "prediction", ID: string(p.ID)}, {Kind: "belief", ID: string(res.Belief.ID)}}, Metadata: map[string]any{"prediction_id": string(p.ID), "belief_id": string(res.Belief.ID), "window_end": p.WindowEnd}, Payload: p})
|
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}
|
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}
|
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}
|
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}
|
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return nil
|
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}
|
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|
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// distinctiveTerms picks the longest tokens of a summary as match terms.
|
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func distinctiveTerms(text string, n int) []string {
|
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toks := tokeniseWS(text)
|
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var out []string
|
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for _, t := range toks {
|
||||
if len(t) >= 5 {
|
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out = append(out, t)
|
||||
}
|
||||
if len(out) == n {
|
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break
|
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}
|
||||
}
|
||||
return out
|
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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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|
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@@ -0,0 +1,113 @@
|
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package cognition
|
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|
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import (
|
||||
"context"
|
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"fmt"
|
||||
"math"
|
||||
|
||||
"github.com/andydixon/noema/internal/brain"
|
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"github.com/andydixon/noema/internal/motivation"
|
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"github.com/andydixon/noema/pkg/events"
|
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)
|
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|
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// MotivationHook applies the deterministic affect and drive rules to the
|
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// events a cycle produced, persists the result, and emits emotion_changed or
|
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// drive_changed events only when something moved noticeably.
|
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type MotivationHook struct{ Store *motivation.Store }
|
||||
|
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// Name implements brain.Hook.
|
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func (MotivationHook) Name() string { return "motivation" }
|
||||
|
||||
// AfterCycle implements brain.Hook.
|
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func (h MotivationHook) AfterCycle(ctx context.Context, c *brain.Cycle, emitted []events.Event) error {
|
||||
if h.Store == nil {
|
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return nil
|
||||
}
|
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st := c.State.Motiv
|
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if len(st.Drives) == 0 {
|
||||
return nil
|
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}
|
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before := st
|
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before.Drives = append([]motivation.Drive{}, st.Drives...)
|
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var reasons []string
|
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all := append(append([]events.Event{}, c.State.NewEvents...), emitted...)
|
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for _, ev := range all {
|
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if d, ok := motivation.Rules(ev); ok {
|
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motivation.Apply(&st, d)
|
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reasons = append(reasons, d.Reason)
|
||||
}
|
||||
}
|
||||
st.Affect.UpdatedAt = c.State.Now
|
||||
if err := h.Store.SaveAffect(ctx, c.Tx, c.State.Mind.ID, st.Affect); err != nil {
|
||||
return err
|
||||
}
|
||||
for i, d := range st.Drives {
|
||||
if math.Abs(d.Value-before.Drives[i].Value) > 1e-9 {
|
||||
if err := h.Store.SaveDrive(ctx, c.Tx, c.State.Mind.ID, d); err != nil {
|
||||
return err
|
||||
}
|
||||
if math.Abs(d.Value-before.Drives[i].Value) >= 0.1 {
|
||||
c.Emit(events.New{Type: events.DriveChanged, Source: "brain.motivation", Summary: fmt.Sprintf("drive %s %.2f → %.2f", d.Name, before.Drives[i].Value, d.Value), Salience: 0.2, Confidence: 1,
|
||||
Metadata: map[string]any{"drive": d.Name, "from": before.Drives[i].Value, "to": d.Value}, Payload: map[string]any{"drive": d, "reasons": uniq(reasons)}})
|
||||
}
|
||||
}
|
||||
}
|
||||
if key, sig := motivation.Significant(before.Affect, st.Affect); sig {
|
||||
v := st.Affect.Valence
|
||||
a := st.Affect.Arousal
|
||||
c.Emit(events.New{Type: events.EmotionChanged, Source: "brain.motivation", Summary: fmt.Sprintf("cognitive state shifted: %s now %.2f (%s)", key, field(st.Affect, key), joinReasons(reasons)),
|
||||
Salience: 0.3, Confidence: 1, Valence: &v, Arousal: &a, Metadata: map[string]any{"field": key}, Payload: map[string]any{"before": before.Affect, "after": st.Affect, "reasons": uniq(reasons)}})
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func field(a motivation.Affect, key string) float64 {
|
||||
switch key {
|
||||
case "valence":
|
||||
return a.Valence
|
||||
case "arousal":
|
||||
return a.Arousal
|
||||
case "curiosity":
|
||||
return a.Curiosity
|
||||
case "concern":
|
||||
return a.Concern
|
||||
case "frustration":
|
||||
return a.Frustration
|
||||
case "confidence":
|
||||
return a.Confidence
|
||||
case "uncertainty":
|
||||
return a.Uncertainty
|
||||
case "engagement":
|
||||
return a.Engagement
|
||||
case "task_pressure":
|
||||
return a.TaskPressure
|
||||
}
|
||||
return a.Load
|
||||
}
|
||||
|
||||
func uniq(xs []string) []string {
|
||||
seen := map[string]bool{}
|
||||
var out []string
|
||||
for _, x := range xs {
|
||||
if !seen[x] {
|
||||
seen[x] = true
|
||||
out = append(out, x)
|
||||
}
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func joinReasons(xs []string) string {
|
||||
u := uniq(xs)
|
||||
if len(u) > 3 {
|
||||
u = append(u[:3], "…")
|
||||
}
|
||||
s := ""
|
||||
for i, x := range u {
|
||||
if i > 0 {
|
||||
s += ", "
|
||||
}
|
||||
s += x
|
||||
}
|
||||
return s
|
||||
}
|
||||
@@ -0,0 +1,20 @@
|
||||
package cognition
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
|
||||
"github.com/andydixon/noema/internal/workspace"
|
||||
"github.com/andydixon/noema/pkg/events"
|
||||
)
|
||||
|
||||
func tokeniseWS(text string) []string { return workspace.Tokenise(text) }
|
||||
|
||||
// payloadField reads a string field from an event payload.
|
||||
func payloadField(ev events.Event, key string) (string, bool) {
|
||||
var m map[string]any
|
||||
if json.Unmarshal(ev.Payload, &m) != nil {
|
||||
return "", false
|
||||
}
|
||||
s, ok := m[key].(string)
|
||||
return s, ok
|
||||
}
|
||||
Reference in New Issue
Block a user