Tyler Malloy

Tyler Malloy

They/Them

Postdoctoral Researcher

Individualized Measures of Similarity

less than 1 minute read

Date:

This post is a continuation of a previous post on measures of similarity in cognitive models. This post is inspired by the recent preprint that I released called ‘Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content’. In this work, we develop a method for estimating human’s subjective similarity using a cognitive model. Similarity between stimuli has been a major theme in my research, and it is a major challenge to cognitive modeling in general. In this post I will detail the importance of metrics of similarity that accurately reflect how humans perceive the similarity of stimuli they are presented with. I will focus on Instance Based Learning models, and in a later post discuss how similarity is relevant for Reinforcement Learning models and how we apply Generative AI representations onto determining similarity.

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Dynamic Decision Making Lab Yearly Review

2 minute read

Published:

The Dynamic Decision Making Laboratory has issued it’s yearly review for 2024 which summarizes the work from the lab that occured during the past year. It is available online here. I have copied below my own section of the yearly review, and encourage people interested in my work to check out the annual summary. This will also be of interest to those who would like to get an idea of the work that goes into running a relatively large research lab in decision sciences.

Descisions From Description and Experience

8 minute read

Published:

One of the interesting lines of recearch that I have recently become more involved with is the distinction between making decisions based on description and making them based on experience. In this research, these are referred to as Decisions from Experience (DfE) and Decisions from Description (DfD). In the past, I have studied differences and similarities between learning and decision making, which is as similar area of research in cognitive psychology. In the future I will be exploring whether these differences between decisions made from description and experience also occur in large language models, but for this post I will be focusing on the background of these differences.

Multi-University Research Initiative

26 minute read

Published:

This blog post contains my unedited notes that I took while attending the Multi-University Research Initiative Program Review this year. This was an interesting meeting where I presented my work in cognitive models applied onto large languge model to improve their usefullness in educational settings, specifically for phishing email education.

Measures of Similarity

6 minute read

Published:

This post is inspired by the recent preprint that I released called ‘Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content’. In this work, we develop a method for estimating human’s subjective similarity using a cognitive model. Similarity between stimuli has been a major theme in my research, and it is a major challenge to cognitive modeling in general. In this post I will detail the importance of metrics of similarity that accurately reflect how humans perceive the similarity of stimuli they are presented with. I will focus on Instance Based Learning models, and in a later post discuss how similarity is relevant for Reinforcement Learning models and how we apply Generative AI representations onto determining similarity.