🔬

An AGI with Time-Inconsistent Preferences

📅 2019
technical research breakthrough
🔵 Rare

📖 Description

An AGI with Time -Inconsistent Preferences May 28, 2019 James D. Miller and Roman Yampolskiy [email address redacted] , [email address redacted] Introduction This paper reveals a trap for artificial general intelligence (AGI) theorists who use economists? standard method of discounting. This trap is implicitly and falsely assuming that a rational AGI would have time - consistent preferences. An agent with time -inconsistent preferences knows that its future self will disagree with its current se lf concerning intertemporal decision making . Such an agent cannot automatically trust its future self to carry out plans that its current self considers optimal. Economists have long used utility functions to model how rational agents behave (see Mas -Colell et al. , 1995) . AGI theorists often rely on these utility function s because they assume that an AGI would either start out as rational or modify itself to become rational (see Omohun...

📊 Game Impacts

Not verified in game

Which variables this event was proposed to move, and in which direction. The magnitudes are held in the corpus but are not shown here, because they have not been verified against the shipped game. They come from pdoom-data. They describe what an event was proposed to do, not what the shipped game does with it. Most events in the corpus are flavour: they are shown for colour and do not move any game variable. Only a small minority reach the systems below, and several of the variables listed here are not read by the game at all yet. Treat this table as a design proposal under review, not as a measurement of play. Corrections and arguments are welcome — the suggestion links at the foot of this page go straight to the data repo.

Variable Direction Condition
Research proposed: up Always
Papers proposed: up Always
Vibey Doom proposed: up Always

💭 Reactions

🔬 Safety Researcher Reaction: Not recorded
📰 Media Reaction: Not recorded
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🔗 Sources

🏷️ Event Metadata

Think this event's metadata could be improved? Category and tags describe the real-world event and are maintained in pdoom-data. Rarity, game impacts and p(doom) effects are game-mechanical values owned by pdoom1. Each link below goes to the repository that decides that field.

📁 Category Technical Research Breakthrough → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (0) → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
☢️ p(Doom) Impact Not recorded → Suggest p(doom) change
📝 General Metadata Year, description, reactions → Comprehensive review

🤝 Found an Issue?

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