The Vroom-Yetton Model in Transplantation - Deciding How to Decide

Deciding How to Decide

, © Velleman This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and redistribution in any medium, provided that the original author and source are credited. By “deciding how to decide”, I mean using practical reasoning to regulate one’s principles of practical reasoning. David Gauthier has sugg...

Deciding how to decide: The case of health care rationing

Deciding How to Decide: Dynamic Routing in Artificial Neural Networks

We propose and systematically evaluate three strategies for training dynamically-routed artificial neural networks: graphs of learned transformations through which different input signals may take different paths. Though some approaches have advantages over others, the resulting networks are often qualitatively similar. We find that, in dynamically-routed networks trained to classify images, la...

Deciding How To Decide: Self-Control and Meta-Decision Making.

Many different situations related to self control involve competition between two routes to decisions: default and frugal versus more resource-intensive. Examples include habits versus deliberative decisions, fatigue versus cognitive effort, and Pavlovian versus instrumental decision making. We propose that these situations are linked by a strikingly similar core dilemma, pitting the opportunit...

Testing the Incremental Validity of the Vroom±Jago Versus Vroom±Yetton Models of Participation in Decision Making

In three samples of manager-reported decisions the Vroom±Jago model's predictions were supported. Decisions that more closely ®t the recommended decision method were rated as higher in e€ectiveness. The model was also found to account for more variance in decision e€ectiveness than the prior Vroom± Yetton model. It was also found that the Vroom±Jago model's greater precision in situational asse...