Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407952
Title: Limited foresight
Author: Lilico, Andrew
ISNI:       0000 0001 3609 9733
Awarding Body: University of London
Current Institution: University College London (University of London)
Date of Award: 2004
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Abstract:
This thesis is about multi-period problems in which the decision-maker or players cannot see far enough ahead to solve the problem completely. The thesis considers why it might be that players reason forwards at all, let alone reasoning forwards only finitely far. It shows, using finite automata, that there is a class of problems for which forwards reasoning is more efficient than backwards reasoning. It goes on to use these finite automata to solve for an optimal foresight length. It then discusses solution concepts, and applies its preferred solution concept to two problems - one macro problem involving a central banker, and one micro problem concerning the decision whether to smoke.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.407952  DOI: Not available
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