2025-02-04

Bayesian Models of the Mind; — & Irrationality

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

by Neil Godfrey

Two books, surely of interest to some of us, are currently open source — free to download — until 24th/27th February 2025:

Rescorla, Michael. Bayesian Models of the Mind. Cambridge University Press, 2025. https://doi.org/10.1017/9781108955973.

Abstract: Bayesian decision theory is a mathematical framework that models reasoning and decision-making under uncertain conditions. The Bayesian paradigm originated as a theory of how people should operate, not a theory of how they actually operate. Nevertheless, cognitive scientists increasingly use it to describe the actual workings of the human mind. Over the past few decades, cognitive science has produced impressive Bayesian models of mental activity. The models postulate that certain mental processes conform, or approximately conform, to Bayesian norms. Bayesian models offered within cognitive science have illuminated numerous mental phenomena, such as perception, motor control, and navigation. This Element provides a self-contained introduction to the foundations of Bayesian cognitive science. It then explores what we can learn about the mind from Bayesian models offered by cognitive scientists.

Sullivan-Bissett, Ema. Irrationality. Cambridge University Press, 2025. https://doi.org/10.1017/9781009641883.

Abstract: This Element surveys contemporary philosophical and psychological work on various forms of irrationality: akrasia, strange beliefs, and implicit bias. It takes up several questions in an effort to better illuminate these more maligned aspects of human behaviour and cognition: what is rationality? Why is it irrational to act against one’s better judgement? Could it ever be rational to do so? What’s going wrong with beliefs in conspiracy theories, those arising from self-deception, or those which are classed as delusional? Might some of them in fact be appropriate responses to evidence? Are implicit biases irrational when they conflict with our avowed beliefs? Or might they be rational insofar as they track social realities?


2025-02-03

The Magic Beyond Our Expectations

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

by Neil Godfrey

What’s astonishing is the gulf between what we expect to find and what we find when we actually look.

A friend of mine, the philosopher and magician David Abram, used to be the house magician at Alice’ s Restaurant in Massachusetts (made famous by the Arlo Guthrie song). Every night he passed around the tables; coins walked through his fingers, reappeared exactly where they shouldn’t, disappeared again, divided in two, vanished into nothing. One evening, two customers returned to the restaurant shortly after leaving and pulled David aside, looking troubled. When they left the restaurant, they said, the sky had appeared shockingly blue and the clouds large and vivid. Had he put something in their drinks? As the weeks went by, it continued to happen — customers returned to say the traffic had seemed louder than it was before, the streetlights brighter, the patterns on the sidewalk more fascinating, the rain more refreshing. The magic tricks were changing the way people experienced the world.

David explained to me why he thought this happened. Our perceptions work in large part by expectation. It takes less cognitive effort to make sense of the world using preconceived images updated with a small amount of new sensory information than to constantly form entirely new perceptions from scratch. It is our preconceptions that create the blind spots in which magicians do their work. By attrition, coin tricks loosen the grip of our expectations about the way hands and coins work. Eventually, they loosen the grip of our expectations on our perceptions more generally. On leaving the restaurant, the sky looked different because the diners saw the sky as it was there and then, rather than as they expected it to be. Tricked out of our expectations, we fall back on our senses. What’s astonishing is the gulf between what we expect to find and what we find when we actually look.