Richard Karash wrote:
> In my work, I am trying not just to make a good model, but to make the
> whole things a learning benefit for the decision makers. Putting stated
> decision rationales in the model and checking match vs. data is a sound
> approach. It should help illuminate the theories in use. For decision
> makers to become aware of their theories in use -- this can be a powerful
> learning moment.
Rick
Paul Thagard and Elijah Millgram, respectively from the University of
Waterloo and Princeton University propose a coherence theory of decision
that seems to allow the building of models much closer to reality (or to
actual decision making if you will). Their approach supersedes most (all?)
that has been written in decision theory by economists, management
scholars, etc. Seems very provocative. The link to their paper "Inference
to the Best Plan: A Coherence Theory of Decision" is:
http://cogsci.uwaterloo.ca/Articles/Pages/Inference.Plan.html
Marco
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