Categorization

Perceptual symbols to the rescue

A harsh review can sometimes feel like a wrecking ball to one’s work, and, as academic lore has it, it’s often ‘Reviewer 2’ who wields the ball. However, a critical review I received in the late 1990s became a turning point in my research, thanks to Larry Barsalou’s (1999) groundbreaking article on perceptual symbol systems. […]

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Larry Barsalou, the influencer

When you are as thoughtful, intellectually curious, and gracious as Larry Barsalou is, you can inspire others without even knowing it. While I have never been lucky enough to work with Larry closely as a mentee or a colleague, my career would not be what it is today without his personal influence. To understand Larry’s […]

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Positively influencing people

I am extremely happy to be part of a tribute for Larry Barsalou. Having worked on word meaning, concepts, and related issues for a number of years, Larry’s ideas have strongly influenced me, just like they continue to influence a large number of young and older researchers. Larry’s work on ad hoc concepts, embodied/grounded cognition, […]

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Ad hoc concepts as a fundamental operating principle of the brain?

Larry Barsalou is brilliant.  In my view, he made one of the most important scientific discoveries in the modern era of psychological science: ad hoc concepts.  It is not hyperbole to say that my own scientific efforts, in part, owe their existence to Larry’s discovery of ad hoc concepts. Before Larry’s seminal work, a category […]

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Larry Barsalou – enthusiasm, flexibility, and depth

Larry Barsalou is definitively the person who has influenced my scientific activity most deeply. Everything started when I was a graduate student in Psychology at the University of Bologna and went to the University of Chicago as a visiting scholar. I had read all of Larry’s papers, had the chance to go abroad during the […]

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Bayes prevails in implicit learning categorization and beyond

Researchers have argued for centuries over two leading statistical approaches: Bayesian analysis and the Frequentist approach. Both holding their own complex (and convincing) reasoning, well-meaning researchers can all agree on the goal of their analyses: reaching conclusions with the least amount of bias and error. The war between Bayesians and Frequentists is likely far from […]

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The uncompromising red of a Ferrari: Feature inferences in probabilistic categorization

The world around us is structured. Certain features of objects just go together. Imagine a muscular sports car in a 1950s black-and-white photograph, like this classic Ferrari 340: What do you think its color was? And what color would you guess a 1950’s VW beetle in a grayscale image was? Chances are you did not […]

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