scholarly journals Rational Decision-Making under Uncertainty: Observed Betting Patterns on a Biased Coin

Author(s):  
Victor Haghani ◽  
Richard Dewey
Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 174 ◽  
Author(s):  
Shahram Dehdashti ◽  
Lauren Fell ◽  
Peter Bruza

This article presents a general framework that allows irrational decision making to be theoretically investigated and simulated. Rationality in human decision making under uncertainty is normatively prescribed by the axioms of probability theory in order to maximize utility. However, substantial literature from psychology and cognitive science shows that human decisions regularly deviate from these axioms. Bistable probabilities are proposed as a principled and straight forward means for modeling (ir)rational decision making, which occurs when a decision maker is in “two minds”. We show that bistable probabilities can be formalized by positive-operator-valued projections in quantum mechanics. We found that (1) irrational decision making necessarily involves a wider spectrum of causal relationships than rational decision making, (2) the accessible information turns out to be greater in irrational decision making when compared to rational decision making, and (3) irrational decision making is quantum-like because it violates the Bell–Wigner polytope.


2021 ◽  
Vol 41 ◽  
pp. 15-21
Author(s):  
Rahul Bhui ◽  
Lucy Lai ◽  
Samuel J Gershman

2012 ◽  
Vol 4 (1) ◽  
pp. 96-97 ◽  
Author(s):  
Fritz Breithaupt

This article examines the relation of empathy and rational judgment. When people observe a conflict most are quick to side with one of the parties. Once a side has been taken, empathy with that party further solidifies this choice. Hence, it will be suggested that empathy is not neutral to judgment and rational decision-making. This does not mean, however, that the one who empathizes will necessarily have made the best choice.


2021 ◽  
Author(s):  
Arif Ahmed

Evidential Decision Theory is a radical theory of rational decision-making. It recommends that instead of thinking about what your decisions *cause*, you should think about what they *reveal*. This Element explains in simple terms why thinking in this way makes a big difference, and argues that doing so makes for *better* decisions. An appendix gives an intuitive explanation of the measure-theoretic foundations of Evidential Decision Theory.


Author(s):  
Michael R. Gottfredson ◽  
Don M. Gottfredson

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