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Computing rational decisions in extensive games with limited foresight
File(s)
turrini.pdf (328.27 KB)
Accepted version
Author(s)
Turrini, P
Type
Conference Paper
Abstract
We introduce a class of extensive form games whereplayers might not be able to foresee the possible consequences of their decisions and form a model of theiropponents which they exploit to achieve a more profitable outcome. We improve upon existing models ofgames with limited foresight, endowing players with theability of higher order reasoning and proposing a novelsolution concept to address intuitions coming from realgame play. We analyse the resulting equilibria, devisingan effective procedure to compute them.
Date Issued
2016-02-21
Date Acceptance
2015-11-13
Citation
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), 2016, pp.630-636
URI
URL
Publisher
AIAA
Start Page
630
End Page
636
Journal / Book Title
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016)
Copyright Statement
© 2016, Association for the Advancement of Artificial
Intelligence (www.aaai.org). All rights reserved.
Identifier
http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/11787
Source
AAAI Conference on Artificial Intelligence (AAAI 2016)
Publication Status
Published
Start Date
2016-02-12
Finish Date
2016-02-17
Coverage Spatial
Phoenix, Arizona USA