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zbMATH Open
Article . 2019
Data sources: zbMATH Open
Decision Analysis
Article . 2019 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Principal–Agent Theory, Game Theory, and the Precautionary Principle

Principal-agent theory, game theory, and the precautionary principle
Authors: Kjell Hausken;

Principal–Agent Theory, Game Theory, and the Precautionary Principle

Abstract

Principal–agent theory and game theory are applied to the precautionary principle (PP) to open up a new research agenda. Principals assess whether the threat is uncertain above a threshold. If it is, the principals choose, pay, and command agents to decrease the uncertainty below the threshold. The agents perform the action. The process is repeated through a feedback loop impacting the threat, after which the process is renewed. The four dimensions of the PP, that is, threat, uncertainty, command, and action, are described. Games and game characteristics in the four dimensions are recognized. Games are possible between natural, technological, and human factors causing the threat and between principals, agents, and external actors. Moral hazard and adverse selection in principal–agent theory related to the PP are considered. Twelve kinds of uncertainty are identified for principal–agent theory in the PP, that is, the natures of the threat, uncertainty, and threshold; states of nature, technology, knowledge, and information; whether a game is played; players; which game is played; strategy sets; utilities; beliefs; incomplete information; imperfect information; risk attitudes; and bounded rationality.

Related Organizations
Keywords

game theory, precautionary principle, formalization, Principal-agent models, principals, Decision theory, strategic interaction, agents, Applications of game theory, uncertainty, risk

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    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
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