Analogy as Nonparametric Bayesian Inference over Relational Systems
Quick summary
arXiv:2006.04156v2 Announce Type: replace Abstract: Our inferences in the real world are rarely na\"ive - we acquire experiences through our lifetime that can help us more quickly understand the structure of something new. A fundamental question in cognitive science is how we make such generalizations. Studies of analogy have explored the question of how to map information from a single familiar concept or environment to an unfamiliar one. In this paper, we examine how experience with multiple successive environments affects an individual's subsequent inferences. First, we present an online be
Key takeaways
- arXiv:2006.04156v2 Announce Type: replace Abstract: Our inferences in the real world are rarely na\"ive - we acquire experiences through our lifetime that can help us more quickly understand the structure of something new.
- A fundamental question in cognitive science is how we make such generalizations.
- Studies of analogy have explored the question of how to map information from a single familiar concept or environment to an unfamiliar one.
Why it matters
The value of this work lies as much in how it was tested as in the claim itself. Sample design, baselines, uncertainty and replication help separate a laboratory result from real-world impact.
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