Initial weights
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Initial weights has 12 facts recorded in Dontopedia across 6 references, with 3 live disagreements.
Mostly:rdf:type(6), assigned to(2), has value(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
definesDefines(1)
- Step 1
ex:step-1
hasComponentHas Component(1)
- Context Components
ex:context-components
hasParameterHas Parameter(1)
- Minimize Function
ex:minimize-function
hasPartHas Part(1)
- Step 1
ex:step-1
producesProduces(1)
- Step 1
ex:step-1
replacesReplaces(1)
- New Weights
ex:new-weights
requiresRequires(1)
- Step 1
ex:step-1
usesUses(1)
- Step 2
ex:step-2
Other facts (10)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Initial Value | [1] |
| Rdf:type | Weight Configuration | [2] |
| Rdf:type | Configuration | [3] |
| Rdf:type | Concept | [4] |
| Rdf:type | Weight Configuration | [5] |
| Rdf:type | Parameter | [6] |
| Assigned to | Engine1 | [2] |
| Assigned to | Engine2 | [2] |
| Has Value | Tuple 0.6 0.4 | [1] |
| Sums to | 1 | [3] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (6)
ctx:claims/beam/34ffcd35-801a-4acf-b1f5-659bb6c98a27- full textbeam-chunktext/plain1 KB
doc:beam/34ffcd35-801a-4acf-b1f5-659bb6c98a27Show excerpt
def update_weights(engine1_accuracy, engine2_accuracy): total_accuracy = engine1_accuracy + engine2_accuracy if total_accuracy == 0: return (0.5, 0.5) # Default equal weights if both accuracies are zero new_weights = (e…
ctx:claims/beam/12bcf927-76eb-4b53-96b5-c31748201d41- full textbeam-chunktext/plain1 KB
doc:beam/12bcf927-76eb-4b53-96b5-c31748201d41Show excerpt
new_weights = update_weights(engine1_accuracy, engine2_accuracy) print("Updated Weights:", new_weights) # Recompute ensemble scores with updated weights ensemble_scores = compute_weighted_ensemble_scores(scores1, scores2, weights=new_weigh…
ctx:claims/beam/c8578409-db7a-4511-babf-7af22c569322- full textbeam-chunktext/plain1 KB
doc:beam/c8578409-db7a-4511-babf-7af22c569322Show excerpt
For each combination of weights, evaluate the performance using your test queries and measure the intent precision. ### Example Implementation Here's an example of how you might structure your experiments: ```python import itertools impo…
ctx:claims/beam/5da37977-83e8-48be-bdd8-808083c26ac7ctx:claims/beam/3f4c4caf-7cac-4379-9d6d-0d4735a709bb- full textbeam-chunktext/plain1 KB
doc:beam/3f4c4caf-7cac-4379-9d6d-0d4735a709bbShow excerpt
# Output the best combination of weights print(f"Best Intent Precision: {best_precision}") print(f"Best Weights: {best_weights}") ``` ### Explanation 1. **Define Context Components and Initial Weights**: Identify the components of your co…
ctx:claims/beam/17359c4f-ce82-472f-b0cd-20671ade934f- full textbeam-chunktext/plain1 KB
doc:beam/17359c4f-ce82-472f-b0cd-20671ade934fShow excerpt
``` Replace the placeholder functions with your actual logic to evaluate the intent precision. Would you like to proceed with these steps or do you have any specific questions about any part of the process? [Turn 10474] User: Sure, let's…
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