activity
20132023
most citedCauses and Explanations: A Structural-Model Approach --- Part 1: Causes

143 citations · 226 across the 11 of their papers we have counts for

collaborators

11 papers

cs.GT2023

Chunking Tasks for Present-Biased Agents

Joe Halpern, Aditya Saraf

Everyone puts things off sometimes. How can we combat this tendency to procrastinate? A well-known technique used by instructors is to break up a large project into more manageable…

cs.GT2023

Strategic Play By Resource-Bounded Agents in Security Games

Xinming Liu, Joseph Y. Halpern

Many studies have shown that humans are "predictably irrational": they do not act in a fully rational way, but their deviations from rational behavior are quite systematic. Our goa…

cs.AI2023★ 3 cited

Causal Models with Constraints

Sander Beckers, Joseph Y. Halpern, Christopher Hitchcock

Causal models have proven extremely useful in offering formal representations of causal relationships between a set of variables. Yet in many situations, there are non-causal relat…

cs.AI2022

A Causal Analysis of Harm

Sander Beckers, Hana Chockler, Joseph Y. Halpern

As autonomous systems rapidly become ubiquitous, there is a growing need for a legal and regulatory framework to address when and how such a system harms someone. There have been s…

cs.AI2022★ 1 cited

Quantifying Harm

Sander Beckers, Hana Chockler, Joseph Y. Halpern

In earlier work we defined a qualitative notion of harm: either harm is caused, or it is not. For practical applications, we often need to quantify harm; for example, we may want t…

cs.GT2022★ 75 cited

From Outcome-Based to Language-Based Preferences

Valerio Capraro, Joseph Y. Halpern, Matjaz Perc

We review the literature on models that try to explain human behavior in social interactions described by normal-form games with monetary payoffs. We start by covering social and m…