7 citations · 15 across the 12 of their papers we have counts for
6 papers · 1 filter
Towards Machines that Trust: AI Agents Learn to Trust in the Trust Game
Ardavan S. Nobandegani, Irina Rish, Thomas R. Shultz
Widely considered a cornerstone of human morality, trust shapes many aspects of human social interactions. In this work, we present a theoretical analysis of the $\textit{trust gam…
Cognitive Models as Simulators: The Case of Moral Decision-Making
Ardavan S. Nobandegani, Thomas R. Shultz, Irina Rish
To achieve desirable performance, current AI systems often require huge amounts of training data. This is especially problematic in domains where collecting data is both expensive…
A Rational Distributed Process-level Account of Independence Judgment
Ardavan S. Nobandegani, Ioannis N. Psaromiligkos
It is inconceivable how chaotic the world would look to humans, faced with innumerable decisions a day to be made under uncertainty, had they been lacking the capacity to distingui…
The Causal Frame Problem: An Algorithmic Perspective
Ardavan Salehi Nobandegani, Ioannis N. Psaromiligkos
The Frame Problem (FP) is a puzzle in philosophy of mind and epistemology, articulated by the Stanford Encyclopedia of Philosophy as follows: "How do we account for our apparent ab…
Probabilistic Structural Controllability in Causal Bayesian Networks
Ardavan Salehi Nobandegani, Ioannis N. Psaromiligkos
Humans routinely confront the following key question which could be viewed as a probabilistic variant of the controllability problem: While faced with an uncertain environment gove…
Multi-Context Models for Reasoning under Partial Knowledge: Generative Process and Inference Grammar
Ardavan Salehi Nobandegani, Ioannis N. Psaromiligkos
Arriving at the complete probabilistic knowledge of a domain, i.e., learning how all variables interact, is indeed a demanding task. In reality, settings often arise for which an i…