288 citations · 541 across the 8 of their papers we have counts for
4 papers · 1 filter
Stochastic Model for Sunk Cost Bias
Jon Kleinberg, Sigal Oren, Manish Raghavan +1
We present a novel model for capturing the behavior of an agent exhibiting sunk-cost bias in a stochastic environment. Agents exhibiting sunk-cost bias take into account the effort…
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro, Roland Maio, Faidra Monachou +4
Decision-making systems increasingly orchestrate our world: how to intervene on the algorithmic components to build fair and equitable systems is therefore a question of utmost imp…
Planning with Multiple Biases
Jon Kleinberg, Sigal Oren, Manish Raghavan
Recent work has considered theoretical models for the behavior of agents with specific behavioral biases: rather than making decisions that optimize a given payoff function, the ag…
Planning Problems for Sophisticated Agents with Present Bias
Jon Kleinberg, Sigal Oren, Manish Raghavan
Present bias, the tendency to weigh costs and benefits incurred in the present too heavily, is one of the most widespread human behavioral biases. It has also been the subject of e…