Theory-based Bayesian models of inductive learning and reasoning
Trends in Cognitive Sciences, 2006. [All Versions]. [Preprint]. Inductive inference allows humans to make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the world. Traditional…
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Where do hypotheses come from? sciencedirect.com
Cognitive Psychology, 2017. [All Versions]. [Preprint]. Why are human inferences sometimes remarkably close to the Bayesian ideal and other times systematically biased? In particular, why do humans make near-rational inferences in some natural domains where the candidate…
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A Probabilistic Theory of Abductive Reasoning scitepress.org
ICAART, 2021. [All Versions]. A probabilistic perspective for interpreting Abductive Reasoning.
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Synthesizing theories of human language with Bayesian program induction cap.csail.mit.edu
Nature Communications, 2022. [All Versions].
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Synthesizing theories of human language with Bayesian program induction nature.com
Nature Communications, 2022. [All Versions]. Automated, data-driven construction and evaluation of scientific models and theories is a long-standing challenge in artificial intelligence. This work presents a framework for algorithmically synthesizing models of a basic part of…
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Explanation and Abductive Inference cognition.princeton.edu
The Oxford Handbook of Thinking and Reasoning, 2012. [All Versions]. This chapter reviews evidence from cognitive psychology and cognitive development concerning the structure and function of explanations, with a focus on the role of explanations in learning and inference. The…
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Probabilistic models of cognition: Conceptual foundations cell.com
Trends in Cognitive Sciences, 2006. [All Versions]. Remarkable progress in the mathematics and computer science of probability has led to a revolution in the scope of probabilistic models. In particular, ‘sophisticated’ probabilistic methods apply to structured relational…
AGI & CoCoSci › Papers > Bayesian Modeling > Bayesian Induction: “Trends in Cognitive Sciences, 2006. [All Versions]. [Preprint]. Inductive inference allows humans to make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the world. Traditional…”