We consider the following distributed optimization problem: three agents i = 1, 2, 3 are each presented with a load drawn independently from the same known prior distribution. Then...
We present a combinatorial framework for the study of a natural class of distributed optimization problems that involve decisionmaking by a collection of n distributed agents in th...
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....
We present a computational model, MoralDM, which integrates several AI techniques in order to model recent psychological findings on moral decision-making. Current theories of mor...
Morteza Dehghani, Emmett Tomai, Kenneth D. Forbus,...