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Modeling Human Decision Making using extended Behavior Networks

  • In their famous work on prospect theory Kahneman and Tversky have presented a couple of examples where human decision making deviates from rational decision making as defined by decision theory. This paper describes the use of extended behavior networks to model human decision making in the sense of prospect theory. We show that the experimental findings of non-rational decision making describedIn their famous work on prospect theory Kahneman and Tversky have presented a couple of examples where human decision making deviates from rational decision making as defined by decision theory. This paper describes the use of extended behavior networks to model human decision making in the sense of prospect theory. We show that the experimental findings of non-rational decision making described by Kahneman and Tversky can be reproduced using a slight variation of extended behavior networks.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/429
Bibliografische Angaben
Title (English):Modeling Human Decision Making using extended Behavior Networks
Conference:RoboCup 2009, 29. Juni bis 5. Juli 2009, Graz, Österreich
Author:Klaus DorerStaff MemberORCiDGND
Year of Publication:2010
Place of publication:Berlin, Heidelberg
Publisher:Springer
First Page:81
Last Page:92
Parent Title (English):RoboCup 2009: Robot Soccer World Cup XIII
Editor:Jacky Baltes, Michail G. Lagoudakis, Tadashi Naruse, Saeed Shiry Ghidary
Volume:LNCS 5949
ISBN:978-3-642-11875-3 (Softcover)
ISBN:978-3-642-11876-0 (eBook)
DOI:https://doi.org/10.1007/978-3-642-11876-0_8
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019)
Institutes:Bibliografie
Projekte / Magma Offenburg
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt