The CEU Department of Cognitive Science cordially invites you to a talk
(as part of its Departmental Colloquium series)
by
Botond Köszegi (CEU Department of Economics)
Date: Wednesday, January 28, 2015 - 17:00-18:30
Location: Department of Cognitive Science, CEU, Frankel Leó út 30-34.,
Room G15
Unrealistic Expectations and Misguided Learning (joint with Paul
Heidhues and Philipp Strack)
Abstract:
We explore the learning process and behavior of an individual with
unrealistically high expectations about ability when outcomes also
depend on an external state of the world that affects the optimal
action. We identify a broad class of situations in which ``learning''
leads the individual systematically away from a correct understanding of
the world and to lower and lower performance. Even if the agent has
correct initial beliefs about the state, due to her unrealistic
expectations she is negatively surprised about her outcome. As a result,
she becomes more pessimistic about the state of the world, and adjusts
her behavior-suboptimally. This adjustment lowers outcomes, perpetuating
the misdirected learning further. The greater is the loss from choosing
a suboptimal action, the further the agent's action ends up from
optimal. If the agent has an outside option, then she is initially too
willing to enter a task in which performance depends on her ability and
may persist in it for too long (as described in the existing
literature), but she eventually tends to quit even superior tasks and to
switch too much between tasks. We argue that our model provides one
mechanism for self-defeating behavior described in the psychology
literature, and that the decision situations in question are common in
economic settings, including bureaucratic decisionmaking, delegation,
public policy, and labor-leisure choices.
See more at:
http://cognitivescience.ceu.hu/events/2015-01-28/departmental-colloquium-bo…
We are looking forward to see you there (Frankel Leo utca 30-34)!
Cognitive Science Events at CEU:
http://cognitivescience.ceu.hu/events
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