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Decision field theory-planning : = A cognitive model of planning and dynamic decision making.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Decision field theory-planning :/
其他題名:	A cognitive model of planning and dynamic decision making.
作者:	Hotaling, Jared M.
面頁冊數:	1 online resource (91 pages)
附註:	Source: Dissertation Abstracts International, Volume: 75-03(E), Section: B.
標題:	Cognitive psychology. -
電子資源:	click for full text (PQDT)
ISBN:	9781303589188

Decision field theory-planning : = A cognitive model of planning and dynamic decision making.
Hotaling, Jared M.

Decision field theory-planning :A cognitive model of planning and dynamic decision making. - 1 online resource (91 pages)

Source: Dissertation Abstracts International, Volume: 75-03(E), Section: B.

Thesis (Ph.D.)--Indiana University, 2013.

Includes bibliographical references

The world is full of complex environments in which individuals must plan a series of choices to obtain some desired outcome. In these situations entire sequences of events, including one's future decisions, should be considered before taking an action. Backward induction provides a normative strategy for planning, in which one works backward, deterministically, from the end of a scenario. However, it often fails to account for human behavior. I propose an alternative account, Decision Field Theory-Planning, in which individuals plan future choices on the fly through repeated mental simulations. A key prediction of DFT-P is that payoff variability produces noisy simulations and reduces sensitivity to utility differences. In two multistage risky decision tree experiments I obtained this payoff variability effect, with choice proportions moving toward 0.50 as variability increased. I showed that DFT-P provides valuable insight into the strategies that people used to plan future choices and allocate cognitive resources across decision stages.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781303589188Subjects--Topical Terms:

556029
Cognitive psychology.
Index Terms--Genre/Form:

554714
Electronic books.

Decision field theory-planning : = A cognitive model of planning and dynamic decision making.
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500 $a Source: Dissertation Abstracts International, Volume: 75-03(E), Section: B.
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504 $a Includes bibliographical references
520 $a The world is full of complex environments in which individuals must plan a series of choices to obtain some desired outcome. In these situations entire sequences of events, including one's future decisions, should be considered before taking an action. Backward induction provides a normative strategy for planning, in which one works backward, deterministically, from the end of a scenario. However, it often fails to account for human behavior. I propose an alternative account, Decision Field Theory-Planning, in which individuals plan future choices on the fly through repeated mental simulations. A key prediction of DFT-P is that payoff variability produces noisy simulations and reduces sensitivity to utility differences. In two multistage risky decision tree experiments I obtained this payoff variability effect, with choice proportions moving toward 0.50 as variability increased. I showed that DFT-P provides valuable insight into the strategies that people used to plan future choices and allocate cognitive resources across decision stages.
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538 $a Mode of access: World Wide Web
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