🔬

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning..

📅 2022
technical research breakthrough
🔵 Rare

📖 Description

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar 1* , Ishita Dasgupta 2 , Nathaniel D. Daw 13 , Jonathan. D. Cohen 13 , Thomas L. Grif fiths 34 1 Princeton Neuroscience Institute 2 DeepMind 3 Princeton University Department of Psychology 4 Princeton University Department of Computer Science *: Corresponding author: [email address redacted] Abstract The ability to acquire abstract knowledge is a hallmark of human intelligence and is believed by many to be one of the core dif ferences between humans and neural network models. Agents can be endowed with an inductive bias towards abstraction through meta-learning, where they are trained on a distribution of tasks that share some abstract structure that can be learned and applied. However , because neural networks are hard to interpret, it can be dif ficult to tell whether agents have learned the underlying abstraction, or alternatively statistical patterns that are characteristic of t...

📊 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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