most citedWhen Should a Decision Maker Ignore the Advice of a Decision Aid?

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2025

When is using AI the rational choice? The importance of counterfactuals in AI deployment decisions

Paul Lehner, Elinor Yeo

Decisions to deploy AI capabilities are often driven by counterfactuals - a comparison of decisions made using AI to decisions that would have been made if the AI were not used. Co…

cs.AI2013★ 2 cited

When Should a Decision Maker Ignore the Advice of a Decision Aid?

Paul E. Lehner, Theresa M. Mullin, Marvin S. Cohen

This paper argues that the principal difference between decision aids and most other types of information systems is the greater reliance of decision aids on fallible algorithms--a…

cs.AI2013

Robust Inference Policies

Paul E. Lehner

A series of monte carlo studies were performed to assess the extent to which different inference procedures robustly output reasonable belief values in the context of increasing le…

cs.AI2013

Reasoning under Uncertainty: Some Monte Carlo Results

Paul E. Lehner, Azar Sadigh

A series of monte carlo studies were performed to compare the behavior of some alternative procedures for reasoning under uncertainty. The behavior of several Bayesian, linear mode…

cs.AI2013

Two Procedures for Compiling Influence Diagrams

Paul E. Lehner, Azar Sadigh

Two algorithms are presented for "compiling" influence diagrams into a set of simple decision rules. These decision rules define simple-to-execute, complete, consistent, and near-o…

cs.AI2013

Constructing Belief Networks to Evaluate Plans

Paul E. Lehner, Christopher Elsaesser, Scott A. Musman

This paper examines the problem of constructing belief networks to evaluate plans produced by an knowledge-based planner. Techniques are presented for handling various types of com…