393 citations · 825 across the 21 of their papers we have counts for
6 papers · 1 filter
The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning
Kyle Tilbury, Jesse Hoey
Machine learning has the potential to aid in mitigating the human effects of climate change. Previous applications of machine learning to tackle the human effects in climate change…
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty
Jesse Hoey, Neil J. MacKinnon
The presence of artificial agents in human social networks is growing. From chatbots to robots, human experience in the developed world is moving towards a socio-technical system i…
Improving Humanness of Virtual Agents and Users' Cooperation through Emotions
Moojan Ghafurian, Neil Budnarain, Jesse Hoey
In this paper, we analyze the performance of an agent developed according to a well-accepted appraisal theory of human emotion with respect to how it modulates play in the context…
A Coordinated MDP Approach to Multi-Agent Planning for Resource Allocation, with Applications to Healthcare
Hadi Hosseini, Jesse Hoey, Robin Cohen
This paper considers a novel approach to scalable multiagent resource allocation in dynamic settings. We propose an approximate solution in which each resource consumer is represen…
SPUDD: Stochastic Planning using Decision Diagrams
Jesse Hoey, Robert St-Aubin, Alan Hu +1
Markov decisions processes (MDPs) are becoming increasing popular as models of decision theoretic planning. While traditional dynamic programming methods perform well for problems…
Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model
Marek Grzes, Jesse Hoey, Shehroz Khan +4
Assistive systems for persons with cognitive disabilities (e.g. dementia) are difficult to build due to the wide range of different approaches people can take to accomplishing the…