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Level 11.14 — Weighted Edges: Dijkstra-Style Priority :] VSA

:]in:]: 11.14 — Weighted Edges :]with: :] Tewithty: 94-96 (368 inwith], 364 pass, 4 skip)


:]inye :]andtoand

:]VersionZon:]ande:]with
Vewithaboutinaya for]andya:]fromaboutnonya (sim: 0.48→0.34→0.27→0.21→0.15)
Dijkstra traversalDaboutwithtand:] T za 3 :]
Light vs Heavy (noise=5)93% vs 21% (72pp advantage)
Capacity monotonicitytrue — :] :] = withandlnote withandgonl
Accuracy cap=3100%
Accuracy cap=2597.3%

:] this zonchandt

:] andwith]in:]

Obon:] VSA-ontandin:] :]andzm inewithaboutin: yomtoaboutwitht :]and (toaboutlandchewithtinabout :]and:] :]) on:] :] withandlat withandgonla prand andzin:]and. :] not innotshnandy withfor], :] withinaboutywithtinabout with]andtsand. :] :] in :]and → in:] cosine similarity prand :]withe → "withandlnote" within:]. :] :]inyy daboutfor] :]in:] capacity-based weight mechanism for VSA Knowledge Graph.

:] :]fromchandtoaboutin

:]totandchewithtoaboute zon:]ande: for Dijkstra-style byandwithtoa by :] zonnandy not :] :]andt from:] withfor] inewithaboutin. :] VSA-:memory] toaboutdand:] inewith :] yomtoaboutwitht. Relation with 5 :]and (sim=0.34) ewiththosewithtin:] prandaboutrand:]note relation with 25 :]and (sim=0.15). Prand :]in:]and innotshnandkh withfor]in (weight = 1/capacity) :] score = sim × weight for :] Dijkstra.

:] andninewith]in

Weighted edges — for]inaya fandcha for :]totandchewithfor] withandminaboutlandchewithfor] II. :] :] zonnandy and:] :] with] atin:]withtand in fafor]. :] Trinity VSA :] :]and:] ":] with]andtsa" from "where-that :]" — :] :]and:] :], :]withthat :] :]andthosefor] :]and.


:]andthosefor] inewithaboutin

Capacity-Based Weight (VSA-ontandin:])

Prandntsandp: weight ∝ 1/capacity

Memory with 5 :]and: sim = 0.34 (withand:] withandgonl)
Memory with 10 :]and: sim = 0.27 (with]andy)
Memory with 25 :]and: sim = 0.15 (with] withandgonl)

:]: with]andtsandya N inefor]in → for] :] ~1/sqrt(N) from :] withandgonla.
:] N → withandlnote for] for]notnt → in:] similarity prand andzin:]and.

Dijkstra Priority Score

score(edge) = retrieval_similarity × scalar_weight

:] :] S → A:
1. Unbind S andz adjacency memory
2. :]andt similarity to for] for]and:]
3. :]andt on scalar weight (1/capacity or innotshnandy)
4. :] max score

Tewitht 94: Weighted Edges — Capacity-Based

Trand withinyazand with :] yomtoaboutwith]:

Sin:]:]AccuracyAvg SimVSA Weight
capital (strong)5100%0.33770.200
borders (medium)10100%0.26420.100
nearby (weak)2596%0.14760.040

:]from:]witht :]in:]on: capital > borders > nearby by similarity.

:]inaboute fromfor]ande: :] :] yain:] inewithaboutin, VSA ain:]andchewithtoand prandaboutrandtandzand:] withinyazand with :] toaboutnfor]andey in :]and.


Tewitht 95: Dijkstra Priority Traversal

:] with 6 :]and (S, A, B, C, D, T) and 7 :]and:

S → A (weight=0.9)    A → T (weight=0.9)
S → B (weight=0.3) B → T (weight=0.3)
S → C (weight=0.6) C → D (weight=0.6) D → T (weight=0.6)

Result: :] methoda (weighted and unweighted) daboutwithtand:] T za 3 :].

:]:]:]Score
Weighted (sim×weight)S→C→D→T31.7169
Unweighted (sim only)S→C→D→T32.8615

:] in:]and S→C→D→T pfrom:] that S and:] 3 andwith]andkh :] in :] adjacency memory (toaboutnfor]andya), C and D and:] by :] (chandwith] withandgonl sim=1.0). :] :]in:] capacity-based weight: aboutdand:] bindings :] and:] inaboutwith]in:]ande.


Tewitht 96: Weight vs Noise Benchmark

Capacity → Similarity (:] :])

CapacityAccuracyAvg SimVSA Weight
3100%0.47860.333
5100%0.34110.200
10100%0.27000.100
15100%0.21060.067
2597.3%0.14910.040

Noise Resilience

Capacity \ Noise01235
5 (light/strong)100%100%100%80%93%
10 (medium)100%100%83%77%87%
25 (heavy/weak)95%72%24%24%21%

Light advantage at noise=5: 72 :] :]tothat (93% vs 21%).

:] :] result: "withand:]" withinyazand (:] :]) not :]toabout :]note andzinlefor]withya, nabout and zonchand:] atwith]andinee to :]. :] KG this aboutzon:]: inywithaboutfor]inerand:] fatoty (:] :]ontandin) aboutwith]withya daboutwith]and :] prand :] :].


Krandtandchewithtoaya :]toa

:] :]from:]

  1. Capacity-based weight — :] in:] VSA-ontandin:] :]andzm
  2. Monotonicity — similarity with] :]in:] with toaboutlandchewithtinaboutm :]
  3. Noise resilience — 72pp advantage light vs heavy — :]totandchewithtoand zonchandmabout
  4. Dijkstra traversal — :]from:], daboutwithtand:] :]and

:] on:]ande

:]toa "atwithort" inewith :] byin:] bundling (reinforcement) not :]from:] in ternary VSA. Bundling memory with toaboutpandey with] = majority vote, tofrom:] not atwithorin:] withandgonl, :]in:] :] from toin:]and:]and. :]inand:] :] — :]toabout capacity-based weight.

:]and:]andya

  1. Dijkstra in thosefor] :]and:]and = greedy (top-1 on for] stepe), not onwith]andy priority queue
  2. Scalar weights :]withya from:] from VSA — nott edand:] VSA-toaboutdandraboutinanandya inewitha + :]
  3. Prand 3 andwith]andkh :] andz :] :] toaboutnfor]andya in adjacency memory withnand:] :]andchandmaboutwitht

Tech Tree: :]ande stepand

:]and:]Opandwithanande
A: Temporal reasoning:]inandt in:] :]toand to fafor], reasoning :]toe with]andy
B: Contextual queries:]withy with for]towith] ("with]andtsa :]and in 1800?") :] permute-based encoding
C: Full Dijkstra + beamNawith]andy priority queue with beam search for :]and:] inzin:] :]

Zafor]ande

Level 11.14 fromfor] VSA-ontandin:] :]andzm inewithaboutin: yomtoaboutwitht :]and = inewith withinyazand. :] :] → withandlnote withandgonl → in:] prandaboutrand:]. Prand noise=5 ":]toande" :]and (5 :]) with] 93% :]withtand, :] toato ":]" (25 :]) :] dabout 21%. Dijkstra traversal with weighted scoring daboutwithtand:] :]inykh :]in. Reinforcement-based :] fromin:] — capacity-based weight edandnwithtin:] for]for] VSA-ontandin:] :]andzm.

Trinity Weighted. Capacity Is Priority. Quarks: Prioritized.