docs: expand features table with deeper capabilities

Author: DeveshParagiri

README.md

@@ -64,13 +64,38 @@ extropy results --study-db $DB --segment income
 
 ## Features
 
-| Feature | Description |
-|---------|-------------|
-| **Household mode** | Family units with correlated partners and dependents |
-| **Fidelity tiers** | Low/medium/high controlling conversations and memory |
-| **Conversations** | Agents talk to each other, both update state |
-| **Timeline events** | Evolving scenarios with new information over time |
-| **Open-ended outcomes** | Discover categories post-hoc from agent responses |
+### Population
+| | |
+|---|---|
+| **Any geography** | US, Japan, India, Brazil — define attributes with your distributions |
+| **Household mode** | Family units with correlated partners, NPC dependents, assortative mating |
+| **Agent focus** | Primary adult, couples, or full families as reasoning agents |
+| **Real distributions** | LLM researches actual demographics with citations |
+
+### Social Network
+| | |
+|---|---|
+| **Structural edges** | Partner, household, coworker, neighbor, congregation, school parent |
+| **Similarity edges** | Acquaintances and online contacts based on attribute similarity |
+| **Edge-type influence** | Different relationships carry different weight per scenario |
+| **Small-world topology** | Calibrated clustering and path lengths |
+
+### Simulation
+| | |
+|---|---|
+| **Two-pass reasoning** | Role-play first, classify second — eliminates central tendency bias |
+| **Conversations** | Agents talk to each other; both update state independently |
+| **Memory & conviction** | Agents remember past reasoning; conviction affects sharing and flip resistance |
+| **THINK vs SAY** | Separate internal monologue from public statement (high fidelity) |
+| **Timeline events** | Inject new information at specified timesteps for evolving scenarios |
+
+### Outcomes
+| | |
+|---|---|
+| **Categorical** | Known decision space (buy/wait/skip, support/oppose/neutral) |
+| **Boolean** | Binary decisions (will share, will switch) |
+| **Float** | Intensity measures (sentiment, likelihood, trust level) |
+| **Open-ended** | Free text — discover categories post-hoc |
 
 ## Development