opencompletion.com/research/activity44-game-theory-401.yaml
Claude b8bf7261cb
Add complete statistics and game theory curriculum (6 activities)
NEW ACTIVITIES:

activity40-statistics-101.yaml - Foundational statistics
- Central tendency, spread, probability, distributions
- Real-world applications and critical thinking

activity41-game-theory-101.yaml - Strategic fundamentals
- Prisoner's Dilemma, Nash Equilibrium, dominant strategies

activity42-game-theory-201.yaml - Advanced concepts
- Mixed strategies, repeated games, Tit-for-Tat

activity43-game-theory-301.yaml - Cooperative games
- Coalition formation, Shapley value, fair division

activity44-game-theory-401.yaml - Information asymmetry
- Signaling, screening, adverse selection

activity45-game-theory-501.yaml - Mechanism design
- Auction theory, Vickrey auctions, incentive compatibility

All activities:
- Validate with zero errors/warnings
- Follow expert guide requirements
- Include engaging examples
- Terminate properly
- Support language switching
2025-11-09 15:27:38 +00:00

71 lines
3.5 KiB
YAML

default_max_attempts_per_step: 3
sections:
- section_id: introduction
title: Game Theory 401
steps:
- step_id: welcome
title: Information Games
content_blocks:
- "# Game Theory 401: Information Asymmetry 🔍"
- "**When players have different information!**"
- "✓ Signaling (revealing information)"
- "✓ Screening (eliciting information)"
- "✓ Adverse selection"
- "✓ Moral hazard"
question: Ready to explore strategic information problems?
tokens_for_ai: Accept positive as 'ready', else 'off_topic'
buckets: [ready, set_language, off_topic]
transitions:
ready: {next_section_and_step: "signaling:step_1"}
set_language: {metadata_add: {language: "the-users-response"}, counts_as_attempt: false, next_section_and_step: "introduction:welcome"}
off_topic: {counts_as_attempt: false, next_section_and_step: "introduction:welcome"}
- section_id: signaling
title: Signaling & Screening
steps:
- step_id: step_1
title: Credible Signals
content_blocks:
- "## Signaling: Credibly Revealing Information 📢"
- ""
- "**The problem:**"
- "You have valuable information others don't"
- "How to credibly communicate it?"
- ""
- "**Education as Signal:**"
- "- Degree signals ability/work ethic"
- "- Costly to obtain (time, money, effort)"
- "- Harder for low-ability workers"
- "- Separates high from low types"
- ""
- "**Key: Must be costly for low types!**"
- "Otherwise everyone signals, signal loses meaning"
- ""
- "**Other examples:**"
- "- Warranties (signal quality)"
- "- Money-back guarantees"
- "- Certifications"
- "- Peacock's tail (biological signaling)"
- ""
- "**Adverse Selection:**"
- "When information asymmetry leads to market failure"
- "Example: Used car market (lemons problem)"
question: Why must a signal be costly to be credible? What happens if it's cheap for everyone?
tokens_for_ai: |
Key insight: if signal is cheap for all types, everyone signals.
Signal loses informational value (pooling).
Must be differentially costly to separate types.
Categorize: excellent_understanding, understands_cost, partial, set_language, off_topic
buckets: [excellent_understanding, understands_cost, partial, set_language, off_topic]
transitions:
excellent_understanding:
ai_feedback: {tokens_for_ai: "Perfect! If everyone can signal cheaply, everyone does. Signal becomes meaningless. Must be differentially costly to separate types!"}
metadata_add: {score: "n+2", activity_completed: "true"}
understands_cost:
ai_feedback: {tokens_for_ai: "Exactly! Cheap signals lose meaning. Everyone would claim to be high quality. Cost creates separation!"}
metadata_add: {score: "n+1", activity_completed: "true"}
partial:
ai_feedback: {tokens_for_ai: "Right direction! If signal is free, everyone sends it. Becomes noise. Cost differentiates high from low quality!"}
metadata_add: {activity_completed: "true"}
set_language: {metadata_add: {language: "the-users-response"}, counts_as_attempt: false, next_section_and_step: "signaling:step_1"}
off_topic: {metadata_add: {activity_completed: "true"}}