This talk will take place in Microsoft Teams. Please contact the organizers in order to be added to the TULIPS 'team'.

Abstract: Logic started as a branch of philosophy, going back to Greeks, who loved debates, in the classical period. Computers are relatively young, dating back to World War II, in the middle of the 20th century. This talk tells the story of how logic begat computing, tracing the surprising path from Aristotle to the iPhone. This is a story full of both intellectual drama, as well as real-life drama, with most of the characters dying young, miserable, or both.

The talk is part of a series of World Logic Day events and is aimed at a general audience.

The talk is now available online at https://www.youtube.com/watch?v=wOQuW6QFdos&feature=youtu.be

Our Philosophy of Mathematics Reading Group has the honor to start 2021 by hosting Luca Incruvati presenting his 2020 book 'Conceptions of Set and the Foundations of Mathematics' published by the Cambridge University Press. The book is accessible from the UvA Library.

Book Summary: Sets are central to mathematics and its foundations, but what are they? In this book Luca Incurvati provides a detailed examination of all the major conceptions of set and discusses their virtues and shortcomings, as well as introducing the fundamentals of the alternative set theories with which these conceptions are associated. He shows that the conceptual landscape includes not only the naïve and iterative conceptions but also the limitation of size conception, the definite conception, the stratified conception and the graph conception. In addition, he presents a novel, minimalist account of the iterative conception which does not require the existence of a relation of metaphysical dependence between a set and its members. His book will be of interest to researchers and advanced students in logic and the philosophy of mathematics.

Abstract:
A stereotype is a generalization about a class of people but does not necessarily represent every individual with the group (McCauley, Stitt, & Segal, 1980). Category information (i.e., stereotype information) is often used to make probabilistic predictions about people within a particular group. For instance, a probabilistic judgement about Germans would be that, “Germans are more likely than other people to be efficient.” Here we are making a prediction about an individual’s personality (i.e., efficiency) based on their group membership (i.e., German). McCauley and Stitt (1978) suggest that people are accurately Bayesian in their judgements and tend to make probabilistic judgements about people’s personality based on stereotype information. The current project aims to replicate the original McCauley and Stitt (1978) work to test whether stereotype prediction from category information to personality adheres to Bayes’ rule.

This talk will take place online in MS Teams, please contact the organizers for more information.