convergence in a sequential two stages decision making process

Authors

j.-e. martinez-legaz

departament‎ ‎d'economia i d'historia economica‎, ‎universitat autonoma de‎ ‎barcelona‎, ‎08193 bellaterra‎, ‎and barcelona graduate school of mathematics (bgsmath)‎, ‎barcelona‎, ‎spain. a. soubeyran

aix-marseille university (aix-marseille school of economics)‎ ‎cnrs & ehess‎, ‎chateau lafarge‎, ‎route des milles‎, ‎13290 les milles‎, ‎france.

abstract

we analyze a sequential decision making process, in which at each stepthe decision is made in two stages. in the rst stage a partially optimalaction is chosen, which allows the decision maker to learn how to improveit under the new environment. we show how inertia (cost of changing)may lead the process to converge to a routine where no further changesare made. we illustrate our scheme with some economic models.

Sign up for free to access the full text

Already have an account?login

similar resources

Convergence in a sequential two stages decision making process

We analyze a sequential decision making process, in which at each stepthe decision is made in two stages. In the rst stage a partially optimalaction is chosen, which allows the decision maker to learn how to improveit under the new environment. We show how inertia (cost of changing)may lead the process to converge to a routine where no further changesare made. We illustrate our scheme with some...

full text

Possibilistic sequential decision making

Article history: Received 21 March 2013 Received in revised form 14 November 2013 Accepted 15 November 2013 Available online 19 December 2013

full text

Decision making: The two stages of neuronal judgement

A recent study of how a monkey's frontal cortex responds when decisions are made more difficult has characterised the two distinct stages which turn sensory evidence into a command for action.

full text

Properties of fuzzy relations and aggregation process in decision making

In this contribution connections between input fuzzy relations R1, . . . ,Rn on a set X and the output fuzzy relationRF = F(R1, . . . ,Rn) are studied. F is a function of the form F : [0, 1]n → [0, 1] and RF is called an aggregated fuzzyrelation. In the literature the problem of preservation, by a function F, diverse types of properties of fuzzy relationsR1, . . . ,Rn is examined. Here, it is c...

full text

My Resources

Save resource for easier access later


Journal title:
bulletin of the iranian mathematical society

جلد ۴۲، شماره Issue ۷ (Special Issue)، صفحات ۲۵-۲۹

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023