/* engram_cognition.c — THE ONE OPERATION. See engram_cognition.h. * Pure over its inputs (think/warp/express); persistence is additive/supersede * only. stdlib + libm + engram_store/reason/geometry. Touches no live daemon. */ #include "engram_cognition.h" #include #include #include #include /* ── small helpers ──────────────────────────────────────────────────────────── */ static double vdot(const float* a, const float* b, int dim) { double s = 0; for (int i = 0; i < dim; i++) s += (double)a[i] * (double)b[i]; return s; } static double vnorm(const float* a, int dim) { return sqrt(vdot(a, a, dim)); } static char* dupstr(const char* s) { if (!s) return NULL; size_t n = strlen(s) + 1; char* p = malloc(n); if (p) memcpy(p, s, n); return p; } static double clampd(double x, double lo, double hi){ return xhi?hi:x); } /* ═══════════════════════════════════════════════ Stance lifecycle ════════════ */ int cog_stance_init(CogStance* s, const char* id, const char* faculty, const char* anchor_region, const char* for_whom, const GeoDescriptor* region) { if (!s || !region) return -1; memset(s, 0, sizeof *s); s->id = dupstr(id); s->faculty = dupstr(faculty); s->anchor_region = dupstr(anchor_region); s->for_whom = dupstr(for_whom); s->dim = region->dim; s->n_axes = region->n_axes > COG_MAX_AXES ? COG_MAX_AXES : region->n_axes; for (int k = 0; k < COG_MAX_AXES; k++) s->axis_gain[k] = 1.0; s->ext_floor = 1.0; s->drop_frac = 0.5; s->assoc_floor = 0.2; s->bias_dir = NULL; s->reliability = 0.5; /* uninformed prior on our own track record */ return 0; } void cog_stance_set_frozen_defaults(CogStance* s) { if (!s) return; for (int k = 0; k < COG_MAX_AXES; k++) s->axis_gain[k] = 1.0; s->ext_floor = 1.0; s->drop_frac = 0.5; s->assoc_floor = 0.2; free(s->bias_dir); s->bias_dir = NULL; } void cog_stance_free(CogStance* s) { if (!s) return; free(s->id); free(s->faculty); free(s->anchor_region); free(s->for_whom); free(s->bias_dir); s->id = s->faculty = s->anchor_region = s->for_whom = NULL; s->bias_dir = NULL; } int cog_is_keystone(const CogKeystoneSet* ks, const CogStance* s) { if (!s) return 0; if (s->keystone) return 1; if (!ks || !s->id) return 0; for (int i = 0; i < ks->n; i++) if (ks->ids[i] && (strcmp(ks->ids[i], s->id) == 0 || (s->anchor_region && strcmp(ks->ids[i], s->anchor_region) == 0))) return 1; return 0; } /* ═══════════════════════════════════════════════ warped fit (think step 2) ══ */ int cog_warped_fit(const GeoDescriptor* g, const float* x, const CogStance* st, GeoFit* out) { if (!g || !x || !out || g->dim <= 0 || !g->centroid) return -1; double ext_floor = (st && st->ext_floor > 0) ? st->ext_floor : 1.0; int dim = g->dim; double rr = 0; float* r = malloc((size_t)dim * sizeof(float)); if (!r) return -1; for (int i = 0; i < dim; i++) { double d = (double)x[i] - (double)g->centroid[i]; r[i] = (float)d; rr += d * d; } double maha2 = 0, ss_in = 0; for (int k = 0; k < g->n_axes; k++) { const float* ax = g->axes[k].axis; if (!ax) continue; double proj = vdot(r, ax, dim); double gain = (st && k < st->n_axes && st->axis_gain[k] > 0) ? st->axis_gain[k] : 1.0; double den = g->axes[k].extent * gain; if (den < ext_floor) den = ext_floor; maha2 += (proj / den) * (proj / den); ss_in += proj * proj; } double ortho2 = rr - ss_in; if (ortho2 < 0) ortho2 = 0; double dist2 = maha2 + ortho2 / (ext_floor * ext_floor); out->mahalanobis = sqrt(maha2); out->ortho_residual = sqrt(ortho2); out->distance = sqrt(dist2); out->score = 1.0 / (1.0 + dist2); free(r); return 0; } /* ═══════════════════════════════════════════════ think (the ONE operation) ══ */ void engram_gradient_free(GeoGradient* g) { if (!g) return; free(g->direction); g->direction = NULL; } int engram_think(const GeoDescriptor* region, const float* anchor, const CogStance* stance, GeoGradient* out) { if (!region || !out || region->dim <= 0 || !region->centroid) return -1; int dim = region->dim; memset(out, 0, sizeof *out); out->dim = dim; const float* x = anchor ? anchor : region->centroid; /* re-origin (step 1) */ GeoFit f; if (cog_warped_fit(region, x, stance, &f) != 0) return -1; /* fit (step 2) */ /* step 3 — emit a GRADIENT: warped steepest DESCENT of the fit distance². */ double ext_floor = (stance && stance->ext_floor > 0) ? stance->ext_floor : 1.0; float* grad = calloc((size_t)dim, sizeof(float)); /* ∇ dist² wrt x */ float* r = malloc((size_t)dim * sizeof(float)); out->direction = malloc((size_t)dim * sizeof(float)); if (!grad || !r || !out->direction) { free(grad); free(r); free(out->direction); out->direction = NULL; return -1; } for (int i = 0; i < dim; i++) r[i] = (float)((double)x[i] - (double)region->centroid[i]); /* in-subspace: Σ_k 2 (proj/den²) a_k ; also accumulate Σ proj a_k for ortho part */ float* proj_sum = calloc((size_t)dim, sizeof(float)); if (!proj_sum) { free(grad); free(r); free(out->direction); out->direction = NULL; return -1; } for (int k = 0; k < region->n_axes; k++) { const float* ax = region->axes[k].axis; if (!ax) continue; double proj = vdot(r, ax, dim); double gain = (stance && k < stance->n_axes && stance->axis_gain[k] > 0) ? stance->axis_gain[k] : 1.0; double den = region->axes[k].extent * gain; if (den < ext_floor) den = ext_floor; double coef = 2.0 * proj / (den * den); for (int i = 0; i < dim; i++) { grad[i] += (float)(coef * ax[i]); proj_sum[i] += (float)(proj * ax[i]); } } /* orthogonal: (2 r − 2 Σ proj a_k) / ext_floor² */ double inv_f2 = 1.0 / (ext_floor * ext_floor); for (int i = 0; i < dim; i++) grad[i] += (float)((2.0 * (double)r[i] - 2.0 * (double)proj_sum[i]) * inv_f2); free(proj_sum); /* steering = −grad (descent), seeded by the stance's bias_dir. */ for (int i = 0; i < dim; i++) out->direction[i] = -grad[i]; if (stance && stance->bias_dir) { double gn = vnorm(grad, dim), bn = vnorm(stance->bias_dir, dim); if (bn > 1e-12) { double scale = (gn > 1e-12 ? gn : 1.0); /* seed at the gradient's scale */ for (int i = 0; i < dim; i++) out->direction[i] += (float)(scale * (double)stance->bias_dir[i] / bn); } } double dn = vnorm(out->direction, dim); if (dn > 1e-12) for (int i = 0; i < dim; i++) out->direction[i] /= (float)dn; else for (int i = 0; i < dim; i++) out->direction[i] = 0.0f; /* at rest */ out->spread = f.distance; /* spiked (0) .. diffuse */ out->confidence = stance ? stance->reliability : 0.5; out->magnitude = f.score; /* the read's membership */ out->anchor_id = region->hub_id; /* borrowed vantage id */ out->n_support = region->n_members; out->stance_id = stance ? stance->id : NULL; free(grad); free(r); return 0; } /* EXPRESSION — the ONLY collapse to a point (a separate faculty from think). */ int engram_express(const GeoGradient* g, const float* anchor, float* out_point) { if (!g || !anchor || !out_point || !g->direction) return -1; double commit = clampd(g->confidence, 0.0, 1.0); /* confident => commit far */ for (int i = 0; i < g->dim; i++) out_point[i] = anchor[i] + g->direction[i] * (float)commit; return 0; } /* ═══════════════════════════════════════════════ Stance serialization ════════ */ /* Compact line schema "STNC1" (mirrors the reify "GEO1" precedent). */ char* cog_stance_to_metadata(const CogStance* s) { if (!s) return NULL; size_t cap = 256 + (size_t)s->n_axes * 24 + (size_t)(s->bias_dir ? s->dim * 16 : 0); char* buf = malloc(cap); if (!buf) return NULL; size_t o = 0; o += (size_t)snprintf(buf + o, cap - o, "%s\n", COG_STANCE_META_MAGIC); o += (size_t)snprintf(buf + o, cap - o, "f %s\n", s->faculty ? s->faculty : "-"); o += (size_t)snprintf(buf + o, cap - o, "r %s\n", s->anchor_region ? s->anchor_region : "-"); o += (size_t)snprintf(buf + o, cap - o, "w %s\n", s->for_whom ? s->for_whom : "-"); o += (size_t)snprintf(buf + o, cap - o, "k %d\n", s->keystone); o += (size_t)snprintf(buf + o, cap - o, "d %d %d\n", s->dim, s->n_axes); o += (size_t)snprintf(buf + o, cap - o, "s %.9g %.9g %.9g\n", s->ext_floor, s->drop_frac, s->assoc_floor); o += (size_t)snprintf(buf + o, cap - o, "g"); for (int k = 0; k < s->n_axes; k++) o += (size_t)snprintf(buf + o, cap - o, " %.9g", s->axis_gain[k]); o += (size_t)snprintf(buf + o, cap - o, "\n"); o += (size_t)snprintf(buf + o, cap - o, "c %lld %.9g %.9g %.9g %.9g\n", (long long)s->n_trials, s->brier_sum, s->reliability, s->ema_error, s->last_error); if (s->bias_dir) { o += (size_t)snprintf(buf + o, cap - o, "b"); for (int i = 0; i < s->dim; i++) o += (size_t)snprintf(buf + o, cap - o, " %.9g", (double)s->bias_dir[i]); o += (size_t)snprintf(buf + o, cap - o, "\n"); } (void)o; return buf; } int cog_stance_to_node(const CogStance* s, StoreNode* out) { if (!s || !out) return -1; memset(out, 0, sizeof *out); out->id = dupstr(s->id); out->node_type = dupstr(COG_STANCE_NODE_TYPE); out->content = dupstr(s->faculty ? s->faculty : "stance"); out->label = dupstr(s->faculty ? s->faculty : "stance"); out->metadata = cog_stance_to_metadata(s); out->importance = s->reliability; /* cached denormalized readout (§2.1) */ out->confidence = s->reliability; out->temporal_decay_rate = 0.0; return (out->id && out->node_type && out->metadata) ? 0 : -1; } static int parse_floats(const char* line, double* out, int max) { int n = 0; const char* p = line; while (*p && n < max) { while (*p == ' ') p++; if (!*p) break; char* end; double v = strtod(p, &end); if (end == p) break; out[n++] = v; p = end; } return n; } int cog_stance_from_node(const StoreNode* n, CogStance* out) { if (!n || !out || !n->metadata) return -1; memset(out, 0, sizeof *out); for (int k = 0; k < COG_MAX_AXES; k++) out->axis_gain[k] = 1.0; out->ext_floor = 1.0; out->drop_frac = 0.5; out->assoc_floor = 0.2; out->reliability = 0.5; out->id = dupstr(n->id); /* verify magic on first line */ const char* m = n->metadata; if (strncmp(m, COG_STANCE_META_MAGIC, strlen(COG_STANCE_META_MAGIC)) != 0) return -1; char* copy = dupstr(m); if (!copy) return -1; for (char* line = strtok(copy, "\n"); line; line = strtok(NULL, "\n")) { if (line[0] == '\0' || line[1] != ' ') { if (line[0] == 'g' || line[0] == 'b') { /* vector lines: tag then values */ } else continue; } char tag = line[0]; const char* rest = line + 1; while (*rest == ' ') rest++; if (tag == 'f') { free(out->faculty); out->faculty = (strcmp(rest, "-") ? dupstr(rest) : NULL); } else if (tag == 'r') { free(out->anchor_region); out->anchor_region = (strcmp(rest, "-") ? dupstr(rest) : NULL); } else if (tag == 'w') { free(out->for_whom); out->for_whom = (strcmp(rest, "-") ? dupstr(rest) : NULL); } else if (tag == 'k') { out->keystone = atoi(rest); } else if (tag == 'd') { int a=0,b=0; sscanf(rest, "%d %d", &a, &b); out->dim = a; out->n_axes = b > COG_MAX_AXES ? COG_MAX_AXES : b; } else if (tag == 's') { double v[3]={1,0.5,0.2}; parse_floats(rest, v, 3); out->ext_floor=v[0]; out->drop_frac=v[1]; out->assoc_floor=v[2]; } else if (tag == 'g') { double v[COG_MAX_AXES]; int c=parse_floats(rest, v, COG_MAX_AXES); for(int k=0;kaxis_gain[k]=v[k]; } else if (tag == 'c') { double v[5]={0,0,0.5,0,0}; parse_floats(rest, v, 5); out->n_trials=(int64_t)v[0]; out->brier_sum=v[1]; out->reliability=v[2]; out->ema_error=v[3]; out->last_error=v[4]; } else if (tag == 'b') { if (out->dim>0){ out->bias_dir=calloc((size_t)out->dim,sizeof(float)); double v[4096]; int c=parse_floats(rest,v,out->dim<4096?out->dim:4096); for(int i=0;ibias_dir[i]=(float)v[i]; } } } free(copy); return 0; } /* ═══════════════════════════════════════════════ grounding as a RELATION ═════ */ static int put_edge(EngramPagedStore* s, const char* id, const char* from, const char* to, const char* relation, double weight, const char* meta) { StoreEdge e; memset(&e, 0, sizeof e); e.id = (char*)id; e.from_id = (char*)from; e.to_id = (char*)to; e.relation = (char*)relation; e.weight = weight; e.confidence = weight; e.metadata = (char*)meta; return store_put_edge(s, &e); } int cog_salient_edge(EngramPagedStore* s, const char* node_id, const char* observer_id, double salience) { if (!s || !node_id || !observer_id) return -1; char id[512]; snprintf(id, sizeof id, "st-%s-%s", node_id, observer_id); return put_edge(s, id, node_id, observer_id, COG_SALIENT_TO_RELATION, salience, NULL); } /* ═══════════════════════════════════════════════════════════════════════════ * §7 GROUNDING IS THE EDGE'S WEIGHT, AND THE WEIGHT IS A VECTOR. * See engram_cognition.h §7 for the model and for the measurements the two * design decisions (thirteen regions, min aggregate) rest on. * ═══════════════════════════════════════════════════════════════════════════ */ /* ── The one decay model. Moved here verbatim from el_runtime.c's * engram_temporal_decay so nodes and edges share a single implementation and a * single set of constants; engram_temporal_decay now delegates. Bit-identical * for nodes: reinforcements := activation_count, lambda_override := * temporal_decay_rate. * * This is what makes decay ANALYTIC rather than sampled: between two recorded * versions the trajectory is not unknown, it is known in closed form from the * last point and elapsed time. Store the point, read the curve. */ double cog_decay_factor(int64_t age_ms, double reinforcements, double lambda_override) { if (age_ms <= 0) return 1.0; double lambda = (lambda_override > 0.0) ? lambda_override : COG_DECAY_LAMBDA; double age_hours = (double)age_ms / 3600000.0; if (reinforcements < 0) reinforcements = 0; double t_half = COG_T_HALF_HOURS * (1.0 + log(1.0 + reinforcements)); double factor = exp(-lambda * age_hours / t_half); if (factor < COG_DECAY_FLOOR) factor = COG_DECAY_FLOOR; return factor; } const char* cog_prov_name(CogProvClass p) { switch (p) { case COG_PROV_OBSERVED: return "observed"; case COG_PROV_INFERRED: return "inferred"; case COG_PROV_TOLD: return "told"; case COG_PROV_IMPRINTED: return "imprinted"; default: return "unset"; } } CogProvClass cog_prov_parse(const char* s) { if (!s) return COG_PROV_UNSET; if (!strcmp(s, "observed")) return COG_PROV_OBSERVED; if (!strcmp(s, "inferred")) return COG_PROV_INFERRED; if (!strcmp(s, "told")) return COG_PROV_TOLD; if (!strcmp(s, "imprinted")) return COG_PROV_IMPRINTED; return COG_PROV_UNSET; } /* Locate the GRD1 block in an edge's metadata. It is always the tail; anything * ahead of it is the edge's pre-existing metadata, preserved verbatim. */ static const char* cog_grd_find(const char* meta) { if (!meta) return NULL; size_t ml = strlen(COG_GROUNDING_META_MAGIC); if (strncmp(meta, COG_GROUNDING_META_MAGIC, ml) == 0) return meta; const char* p = meta; while ((p = strstr(p, COG_GROUNDING_META_MAGIC)) != NULL) { if (p > meta && p[-1] == '\n') return p; p += ml; } return NULL; } int cog_grounding_parse(const StoreEdge* e, int64_t now_ms, CogGrounding* out) { if (!e || !out) return -1; memset(out, 0, sizeof *out); /* Two dimensions exist on every edge whether or not grounding has ever been * established, because they ARE existing substrate rather than new fields: * associative — the accrued hebb, with its existing dynamics; * polarity — the signed authored weight. `inhibitory` is precisely this * distinction crushed to one bit, so it is the seed sign. */ out->associative = e->hebb; out->polarity = e->inhibitory ? -e->weight : e->weight; out->prov = COG_PROV_UNSET; out->ts = e->last_fired > 0 ? e->last_fired : e->updated_at; const char* blk = cog_grd_find(e->metadata); if (blk) { out->present = 1; char* copy = dupstr(blk); if (!copy) return -1; for (char* line = strtok(copy, "\n"); line; line = strtok(NULL, "\n")) { if (line[0] == '\0') continue; char tag = line[0]; const char* rest = line + 1; while (*rest == ' ') rest++; if (tag == 'w') { /* the four numeric dimensions */ double v[4] = {0,0,0,0}; parse_floats(rest, v, 4); out->factual = v[0]; out->relational = v[1]; out->associative = v[2]; out->polarity = v[3]; } else if (tag == 'k') { /* provenance class */ out->prov = cog_prov_parse(rest); } else if (tag == 't') { /* timestamp + seq + reinforcements */ double v[3] = {0,0,0}; parse_floats(rest, v, 3); out->ts = (int64_t)v[0]; out->seq = (int64_t)v[1]; out->reinforcements = v[2]; } else if (tag == 'd') { double v[3] = {0,0,0}; parse_floats(rest, v, 3); out->fac_proj = v[0]; out->rel_proj = v[1]; out->cos_angle = v[2]; } else if (tag == 'v') { snprintf(out->binding_value, sizeof out->binding_value, "%s", rest); } else if (tag == 'c') { double v[2] = {0,0}; parse_floats(rest, v, 2); out->floor_at_record = v[0]; out->rel_floor_at_record = v[1]; } else if (tag == 'p') { snprintf(out->prev_edge, sizeof out->prev_edge, "%s", rest); } } free(copy); } out->agreement = (out->cos_angle > 0) ? 1 : (out->cos_angle < 0 ? -1 : 0); /* ── DERIVED. Nothing below this line is ever serialized. Recency, decay and * staleness are read off the curve; storing them is how a number ends up * asserting something nothing computed (§8.1 / spec §2). */ out->age_ms = (out->ts > 0 && now_ms > out->ts) ? (now_ms - out->ts) : 0; out->decay = cog_decay_factor(out->age_ms, out->reinforcements, 0.0); out->factual_now = out->factual * out->decay; out->relational_now = out->relational * out->decay; out->associative_now = out->associative * out->decay; out->stale = (out->present && out->floor_at_record > 0 && out->factual_now < out->floor_at_record) ? 1 : 0; return 0; } char* cog_grounding_metadata(const char* base_meta, const CogGrounding* g) { if (!g) return NULL; size_t keep = 0; if (base_meta) { const char* blk = cog_grd_find(base_meta); keep = blk ? (size_t)(blk - base_meta) : strlen(base_meta); while (keep > 0 && base_meta[keep - 1] == '\n') keep--; } size_t cap = keep + 1024; char* buf = malloc(cap); if (!buf) return NULL; size_t o = 0; if (keep) { memcpy(buf, base_meta, keep); o = keep; buf[o++] = '\n'; } o += (size_t)snprintf(buf + o, cap - o, "%s\n", COG_GROUNDING_META_MAGIC); /* STORED ONLY. factual / relational / associative / polarity / provenance / * timestamp — plus the joint state a decision saw. No confidence, no * recency, no staleness, no volatility: those are read off the curve. */ o += (size_t)snprintf(buf + o, cap - o, "w %.9g %.9g %.9g %.9g\n", g->factual, g->relational, g->associative, g->polarity); o += (size_t)snprintf(buf + o, cap - o, "k %s\n", cog_prov_name(g->prov)); o += (size_t)snprintf(buf + o, cap - o, "t %lld %lld %.9g\n", (long long)g->ts, (long long)g->seq, g->reinforcements); o += (size_t)snprintf(buf + o, cap - o, "d %.9g %.9g %.9g\n", g->fac_proj, g->rel_proj, g->cos_angle); o += (size_t)snprintf(buf + o, cap - o, "v %s\n", g->binding_value[0] ? g->binding_value : "-"); o += (size_t)snprintf(buf + o, cap - o, "c %.9g %.9g\n", g->floor_at_record, g->rel_floor_at_record); if (g->prev_edge[0]) o += (size_t)snprintf(buf + o, cap - o, "p %s\n", g->prev_edge); (void)o; return buf; } /* ── Consequence, not epsilon. Every test is a floor crossing or a sign change, * both exact. Ordered so the two INHERENT (discrete) moves are reported in * preference to the graded ones, because they bypass the salience gate. */ CogSignificance cog_grounding_significant(const CogGrounding* prev, const CogGrounding* now, double floor, double rel_floor) { if (!now) return COG_SIG_NONE; if (!prev || !prev->present) return COG_SIG_FIRST_RECORD; /* INHERENT 1 — polarity sign flip. Ignorance and disagreement are different * states, and support → contradiction is a change of state rather than a * drift, so no threshold applies. Comparing signs, with zero its own class. */ { int sp = prev->polarity > 0 ? 1 : (prev->polarity < 0 ? -1 : 0); int sn = now->polarity > 0 ? 1 : (now->polarity < 0 ? -1 : 0); if (sp != sn) return COG_SIG_POLARITY_FLIP; } /* INHERENT 2 — provenance class change. told → observed is a categorical * upgrade in what the relation is entitled to, not a movement along an axis. */ if (prev->prov != now->prov) return COG_SIG_PROVENANCE_CHANGE; /* Crossing an assert floor — the move changes whether this relation can be * spoken. Compared on the DECAYED values, because that is what the gate reads. */ if ((prev->factual_now >= floor) != (now->factual_now >= floor)) return COG_SIG_FACTUAL_FLOOR; if ((prev->relational_now >= rel_floor) != (now->relational_now >= rel_floor)) return COG_SIG_RELATIONAL_FLOOR; /* Flipping factual/relational agreement — the relation stops being "true and * meaningful" and becomes "true and misapplied", or the reverse. This is the * 911/CPS contradiction as a measured event rather than a reviewable one. */ if (prev->agreement != now->agreement) return COG_SIG_AGREEMENT_FLIP; /* A gradient reversing — the evidence stopped pulling the claim toward it and * began pushing it away, or the same on the values axis. */ if ((prev->fac_proj > 0) != (now->fac_proj > 0)) return COG_SIG_DIRECTION_REVERSAL; if ((prev->rel_proj > 0) != (now->rel_proj > 0)) return COG_SIG_DIRECTION_REVERSAL; return COG_SIG_NONE; } int cog_significance_inherent(CogSignificance s) { return (s == COG_SIG_FIRST_RECORD || s == COG_SIG_POLARITY_FLIP || s == COG_SIG_PROVENANCE_CHANGE) ? 1 : 0; } const char* cog_significance_name(CogSignificance s) { switch (s) { case COG_SIG_FIRST_RECORD: return "first-record"; case COG_SIG_POLARITY_FLIP: return "polarity-sign-flip"; case COG_SIG_PROVENANCE_CHANGE: return "provenance-class-change"; case COG_SIG_FACTUAL_FLOOR: return "factual-floor-crossed"; case COG_SIG_RELATIONAL_FLOOR: return "relational-floor-crossed"; case COG_SIG_AGREEMENT_FLIP: return "agreement-sign-flip"; case COG_SIG_DIRECTION_REVERSAL: return "gradient-direction-reversal"; default: return "none"; } } /* ── Recording: a NEW edge record. The predecessor is never touched. ────────── */ int cog_grounding_record(EngramPagedStore* s, const StoreEdge* base, const CogGrounding* g, char* out_id, size_t out_id_cap) { if (!s || !base || !base->id || !g) return -1; char root[192]; snprintf(root, sizeof root, "%s", base->id); char* hash = strchr(root, '#'); if (hash) *hash = '\0'; int seq = (int)g->seq + 1; char vid[224]; snprintf(vid, sizeof vid, "%s#%d", root, seq); CogGrounding rec = *g; rec.seq = seq; snprintf(rec.prev_edge, sizeof rec.prev_edge, "%s", base->id); char* meta = cog_grounding_metadata(base->metadata, &rec); if (!meta) return -1; StoreEdge e; memset(&e, 0, sizeof e); e.id = vid; e.from_id = base->from_id; e.to_id = base->to_id; e.relation = base->relation; e.metadata = meta; /* The vector IS the weight, so the scalar fields carry their dimensions: * `weight` the magnitude of polarity, `inhibitory` its sign, `hebb` the * associative strength. Nothing here is a second copy of a derived value. */ e.weight = rec.polarity < 0 ? -rec.polarity : rec.polarity; e.inhibitory = rec.polarity < 0 ? 1 : 0; e.hebb = rec.associative; e.confidence = base->confidence; e.created_at = base->created_at; e.updated_at = rec.ts; e.last_fired = rec.ts; e.layer_id = base->layer_id; int rc = store_put_edge(s, &e); free(meta); if (rc != 0) return -1; if (out_id && out_id_cap) snprintf(out_id, out_id_cap, "%s", vid); return seq; } int cog_grounding_head(EngramPagedStore* s, const char* base_id, StoreEdge* out, int max_versions) { if (!s || !base_id || !out) return -1; if (max_versions <= 0) max_versions = 64; char root[192]; snprintf(root, sizeof root, "%s", base_id); char* hash = strchr(root, '#'); if (hash) *hash = '\0'; StoreEdge cur; memset(&cur, 0, sizeof cur); if (store_get_edge(s, root, &cur) != 1) return -1; int found = 0; for (int v = 1; v <= max_versions; v++) { char vid[224]; snprintf(vid, sizeof vid, "%s#%d", root, v); StoreEdge nx; if (store_get_edge(s, vid, &nx) != 1) break; store_edge_free(&cur); cur = nx; found = v; } *out = cur; return found; } /* ── VOLATILITY AND DRIFT: derived from the chain, stored nowhere. The series * exists only because nothing was destroyed, which is the whole return on * immutability — a derivative for free. */ int cog_grounding_trajectory(EngramPagedStore* s, const char* base_id, int64_t now_ms, CogTrajectory* out) { if (!s || !base_id || !out) return -1; memset(out, 0, sizeof *out); char root[192]; snprintf(root, sizeof root, "%s", base_id); char* hash = strchr(root, '#'); if (hash) *hash = '\0'; double pf = 0, pr = 0, f0 = 0, r0 = 0, fN = 0, rN = 0; double sum_df = 0, sum_dr = 0; int n = 0; for (int v = 0; v <= 64; v++) { char vid[224]; if (v == 0) snprintf(vid, sizeof vid, "%s", root); else snprintf(vid, sizeof vid, "%s#%d", root, v); StoreEdge e; if (store_get_edge(s, vid, &e) != 1) { if (v) break; else continue; } CogGrounding g; if (cog_grounding_parse(&e, now_ms, &g) == 0) { if (n == 0) { f0 = g.factual; r0 = g.relational; } else { sum_df += fabs(g.factual - pf); sum_dr += fabs(g.relational - pr); } pf = g.factual; pr = g.relational; fN = pf; rN = pr; n++; } store_edge_free(&e); } out->n_versions = n; if (n > 1) { out->factual_volatility = sum_df / (double)(n - 1); out->relational_volatility = sum_dr / (double)(n - 1); } out->factual_drift = fN - f0; out->relational_drift = rN - r0; /* "STAYED TRUE, BECAME WRONG" — the event the joint record makes visible and * that per-dimension versioning would have destroyed: the fact held while * the meaning degraded. Expressed as signs, so there is no tolerance here * either: factual did not fall, relational did. */ out->stayed_true_became_wrong = (n > 1 && out->factual_drift >= 0 && out->relational_drift < 0) ? 1 : 0; return 0; } /* ── Assertion gates on BOTH floors. Traversal is untouched: activation still * conducts on the factual/associative side, so a relation can remain thinkable * while ceasing to be assertable. That gap is where the wide angles live. ──── */ int cog_assert_two_axis(EngramPagedStore* s, const char* claim_id, double floor, double rel_floor, int64_t now_ms, CogAssertion* out) { if (!s || !claim_id || !out) return -1; memset(out, 0, sizeof *out); if (!(floor > 0)) floor = 0.5; if (!(rel_floor > 0)) rel_floor = floor; /* still_held is DERIVED, not a literal (§8.1). Holding is unconditional — * the store gates nothing — so the question the field actually answers is * whether the content is present and live. */ StoreNode n; if (store_get_node(s, claim_id, &n) == 1) { out->still_held = !n.tombstoned; store_node_free(&n); } else out->still_held = 0; double best = -1.0; for (int dir = 0; dir < 2; dir++) { StoreEdge* edges = NULL; size_t ne = 0; int rc = dir == 0 ? store_get_edges_from(s, claim_id, &edges, &ne) : store_get_edges_to (s, claim_id, &edges, &ne); if (rc < 0) continue; for (size_t i = 0; i < ne; i++) { if (edges[i].tombstoned) continue; CogGrounding g; if (cog_grounding_parse(&edges[i], now_ms, &g) != 0) continue; out->n_edges++; out->found = 1; if (g.factual_now > best) { best = g.factual_now; out->factual = g.factual_now; out->relational = g.relational_now; /* the SAME edge, not a max */ out->polarity = g.polarity; out->cos_angle = g.cos_angle; out->agreement = g.agreement; out->prov = g.prov; out->relational_established = g.present; snprintf(out->best_edge, sizeof out->best_edge, "%s", edges[i].id ? edges[i].id : ""); snprintf(out->binding_value, sizeof out->binding_value, "%s", g.binding_value); } } store_edges_free(edges, ne); } /* BOTH floors, and an unestablished relational axis does NOT pass by default * — defaulting it to passing is the exemption §0 forbids. A negative polarity * is a relation that actively contradicts and can never license assertion. */ out->may_assert = (out->found && out->relational_established && out->polarity > 0 && out->factual >= floor && out->relational >= rel_floor) ? 1 : 0; return 0; } /* ═══════════════════════════════════════════════ THE CORRESPONDENCE-LOOP ═════ */ int engram_correspondence_beat(const GeoDescriptor* region, const float* anchor, double outcome_y, CogStance* stance, int learn, double max_step, CogBeatResult* out) { if (!region || !stance || !out) return -1; memset(out, 0, sizeof *out); /* 2026-08-16: the keystone block is GONE. It refused to learn about the * reference frame, which does not make it a good reference — it makes it * unexaminable, trading circular calibration for an ungroundable one (spec * §2). Measured cost of the block: on the keystone region the beat reported * 0.00% brier reduction over n_trials 0 — it never ran, so nothing about the * self was ever calibrated OR falsifiable. What replaces it is a provenance * constraint, not a permission: cog_grounding_downstream refuses evidence * that is downstream of the region being calibrated, for every region alike. * `wrote_keystone` is retained as a reporting field only and is always 0. */ GeoGradient g; if (engram_think(region, anchor, stance, &g) != 0) return -1; /* PREDICTION */ double p = g.magnitude; double y = clampd(outcome_y, 0.0, 1.0); double err = fabs(p - y); out->correspondence = 1.0 - err; out->error = err; out->brier = (p - y) * (p - y); if (learn) { /* refine warp: gradient descent of (p−y)² wrt each axis_gain. * p = 1/(1+D²); ∂p/∂gain_k = 2 p² proj_k² / (ext_k² gain_k³) (>=0) * ∂(err²)/∂gain_k = 2 (p−y) ∂p/∂gain_k * step = −lr · ∂(err²)/∂gain_k, bounded to ±max_step (metastability). */ int dim = region->dim; const float* x = anchor ? anchor : region->centroid; float* r = malloc((size_t)dim * sizeof(float)); if (r) { for (int i = 0; i < dim; i++) r[i] = (float)((double)x[i] - (double)region->centroid[i]); double lr = 0.5; double bound = (max_step > 0) ? max_step : 0.05; /* bounded update rate */ for (int k = 0; k < region->n_axes && k < stance->n_axes; k++) { const float* ax = region->axes[k].axis; if (!ax) continue; double proj = vdot(r, ax, dim); double ext = region->axes[k].extent; if (ext < 1e-9) ext = 1e-9; double gain = stance->axis_gain[k]; if (gain < 1e-6) gain = 1e-6; double dp_dgain = 2.0 * p * p * (proj * proj) / (ext * ext * gain * gain * gain); double dErr_dgain = 2.0 * (p - y) * dp_dgain; double step = -lr * dErr_dgain; step = clampd(step, -bound, bound); stance->axis_gain[k] = clampd(gain + step, 0.1, 50.0); } free(r); } /* calibration */ stance->n_trials += 1; stance->brier_sum += out->brier; stance->last_error = err; stance->ema_error = (stance->n_trials == 1) ? err : 0.9 * stance->ema_error + 0.1 * err; double mean_brier = stance->brier_sum / (double)stance->n_trials; stance->reliability = clampd(1.0 - sqrt(mean_brier), 0.0, 1.0); } out->reliability = stance->reliability; engram_gradient_free(&g); return 0; }