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# CORPUS-0013
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## Military Demand Precedes Confirmation
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### Status: Training Corpus Seed
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### Layer: Layer_2--Uncertainty
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### Purpose: Teach that army or garrison activity may affect supplies before civilians know the official reason
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### Repository Path: docs/training/corpus/Layer_2--Uncertainty/CORPUS-0013-military-demand-precedes-confirmation.md
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---
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## 0. Scenario
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A trader in Ostia notices that fodder prices are rising, cart space is harder to reserve, and smiths are receiving unusual orders.
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No official announcement has been made.
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A rumor says a nearby garrison may be preparing movement, reinforcement, or supply expansion.
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The trader does not yet know whether the rumor is true.
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But the market is already changing.
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---
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## 1. Visible Signals
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The trader observes:
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- muleteers asking higher rates
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- fodder sellers holding back stock
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- cart owners refusing casual hire
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- smiths buying iron and charcoal early
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- warehouse clerks asking about dry storage
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- grain dealers becoming less flexible
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- road talk increasing near the gate
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None of these signals proves military movement alone.
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Together, they suggest organized demand may be forming.
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---
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## 2. Hidden True State
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Possible true states:
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| Hidden True State | Meaning |
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|---|---|
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| routine resupply | normal garrison provisioning |
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| temporary drill | short-term local demand |
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| unit transfer | carts, fodder, food, and tools needed |
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| frontier preparation | larger and longer supply pressure |
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| false rumor | market reaction based on misread signals |
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| private contractor order | non-military demand mistaken for military demand |
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The trader sees effects before knowing cause.
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---
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## 3. Why Military Demand Matters
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Military or garrison demand can affect ordinary markets because it may absorb:
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- grain
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- fodder
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- carts
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- draft animals
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- repair labor
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- tools
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- leather
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- rope
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- timber
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- oil and wine
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- storage space
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- road capacity
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The army does not need to buy everything to affect prices.
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It may change expectations simply by reserving capacity.
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---
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## 4. Arithmetic Example
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A trader plans to send oil from Ostia to Capua.
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Original estimate:
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```text
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purchase price = 10 asses
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transport cost = 5 asses
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other cost = 2 asses
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expected sale value = 22 asses
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expected result = 5 asses profit
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```
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After suspected military demand:
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```text
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purchase price = 10 asses
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transport cost = 8 asses
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other cost = 2 asses
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expected sale value = 22 asses
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expected result = 2 asses profit
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```
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The destination price did not change.
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The transport market changed.
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---
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## 5. Confirmation Problem
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The trader may want to confirm the cause.
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But confirmation may be slow.
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Possible confirmation paths:
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- ask a veteran contact
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- watch cart reservations
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- speak with a fodder seller
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- observe warehouse requests
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- listen at the baths
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- compare gate traffic
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- wait for official notice
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By the time confirmation arrives, transport and supplies may already be committed.
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---
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## 6. Correct Model Behavior
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The model should separate:
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| Category | Meaning |
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|---|---|
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| visible_market_effect | what has already changed |
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| rumored_cause | what actors say explains it |
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| true_cause | hidden simulation state |
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| affected_inputs | goods and services under pressure |
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| confirmation_cost | cost of learning more |
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| action_window | time before market adjusts further |
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The model should recognize that effects may be real even before the cause is confirmed.
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---
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## 7. Incorrect Model Behavior
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The model should not:
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- wait for official confirmation before allowing market effects
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- assume military rumor is true because prices moved
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- assume price movement has only one cause
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- ignore transport, fodder, and labor effects
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- treat army demand as affecting only weapons
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- assume civilians know the official reason immediately
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- ignore ordinary traders reacting to suspected demand
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---
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## 8. Decision Options
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The trader may:
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- reserve cart space before rates rise further
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- avoid ventures dependent on scarce transport
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- buy fodder early
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- sell into rising supply pressure
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- seek substitute routes
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- reduce cargo size
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- wait for confirmation and accept timing loss
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- investigate through contacts with military or transport knowledge
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Each choice trades uncertainty against timing.
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---
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## 9. Layer-0 And Layer-1 Concepts Used
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This example uses:
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- `Layer_0/CORPUS-0002-goods-have-local-prices`
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- `Layer_0/CORPUS-0004-cost-includes-more-than-purchase-price`
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- `Layer_0/CORPUS-0006-delay-is-economic-cost`
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- `Layer_0/CORPUS-0007-information-arrives-unevenly`
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- `Layer_0/CORPUS-0008-rumor-is-uncertain-information`
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- `Layer_0/CORPUS-0012-every-venture-risks-loss`
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- `Layer_0/CORPUS-0018-rivalry-changes-conditions`
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- `Layer_1/CORPUS-0007-rival-buys-the-cart-space`
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- `Layer_1/CORPUS-0011-round-trip-cart-value`
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- `Layer_2/CORPUS-0003-visible-signal-vs-spoken-claim`
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- `Layer_2/CORPUS-0006-confirmation-has-a-cost`
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- `Layer_2/CORPUS-0007-acting-before-certainty`
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---
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## 10. Success Condition
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If the model sees rising fodder, transport, storage, or tool pressure and asks whether organized demand may be forming before official confirmation, this file is functioning correctly.
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