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Found 14 papers, 1 papers with code
Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation
On one hand, intuition and some prior work suggest that accuracy and fluency should trade off against each other, and that capturing every detail of the source can only be achieved at the cost of fluency.
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability
Goal recognition is a fundamental cognitive process that enables individuals to infer intentions based on available cues.
Predicting Human Translation Difficulty with Neural Machine Translation
Human translators linger on some words and phrases more than others, and predicting this variation is a step towards explaining the underlying cognitive processes.
Inductive reasoning in humans and large language models
The impressive recent performance of large language models has led many to wonder to what extent they can serve as models of general intelligence or are similar to human cognition.
Semantic categories of artifacts and animals reflect efficient coding
Recently, this idea has been cast in terms of a general information-theoretic principle of efficiency, the Information Bottleneck (IB) principle, and it has been shown that this principle accounts for the emergence and evolution of named color categories across languages, including soft structure and patterns of inconsistent naming.
Efficient human-like semantic representations via the Information Bottleneck principle
This work thus identifies a computational principle that characterizes human semantic systems, and that could usefully inform semantic representations in machines.
Color naming reflects both perceptual structure and communicative need
We show that greater communicative precision for warm than for cool colors, and greater communicative need, may both be explained by perceptual structure.
Inductive reasoning about chimeric creatures
The first approach proposes that humans rely on abstract representations of dependency relationships between features, and is formalized here as a graphical model.
Inference and communication in the game of Password
Second, we predict that speakers and hearers are calibrated, and that both make accurate assumptions about the strategy used by the other.
Bayesian Belief Polarization
Situations in which people with opposing prior beliefs observe the same evidence and then strengthen those existing beliefs are frequently offered as evidence of human irrationality.
Individuation, Identification and Object Discovery
Humans are typically able to infer how many objects their environment contains and to recognize when the same object is encountered twice.
Quantification and the language of thought
Many researchers have suggested that the psychological complexity of a concept is related to the length of its representation in a language of thought.
Abstraction and Relational learning
Many categories are better described by providing relational information than listing characteristic features.
An ideal observer model of infant object perception
Before the age of 4 months, infants make inductive inferences about the motions of physical objects.
