A Note on Measurement of Utility

By P. Samuelson. 1937

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Citations in the corpus

Towards Continual Reinforcement Learning: A Review and Perspectives (2020, background): “In fact, it is unclear even what utility (Samuelson, 1937) humans optimize for.”
Optimizing agent behavior over long time scales by transporting value (2018, methodology): “At each time step, the following steps are taken sequentially: (1) Generate the state variable zt with et , ht 1, and mt 1 as input; (2) Update the deep LSTM state with ht 1⁄4 LSTM ðzt;mt 1; ht 1Þ; (3) Construct the read key and read from the external memory; (4) Write the state variable zt to slot ”
The Relationship between Economic Preferences and Psychological Personality Measures (2012, background): “Time preference describes how an individual trades off utility at different points in time (Samuelson, 1937; Frederick et al., 2002).”
The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value (2013, unknown): “Many psychological and economic theories of decision making are couched within the framework of value maximization (e.g., Kahneman and Tversky, 1979; Samuelson, 1937).”
Which Measures of Time Preference Best Predict Outcomes? Evidence from a Large-Scale Field Experiment (2011, unknown): “Since the early work of Irving Fisher (1930) and Paul Samuelson (1937), economists have placed a lot of theoretical weight on time preferences to explain individual choices across a variety of domains from finance to bargaining or even lifestyle choices that affect one’s health.”
Risk Preferences Are Not Time Preferences (2012, background): “Frederick, Loewenstein, and O’Donoghue (2002) provide a historical foundation of the discounted utility model from Samuelson (1937) on, and discuss the many experimental methodologies designed to elicit time preference.”
Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package (2016, unknown): “…for the DDT: 1. dd_cs (constant-sensitivity model; Ebert & Prelec, 2007) Exponential discounting rate ( 0 < r < 1 ) 2. dd_exp (exponential model; Samuelson, 1937) Exponential discounting rate ( 0 < r < 1 ) Inverse temperature ( 0 < β < 5 ) 3. dd_hyperbolic (hyperbolic model; Mazur, 1987)…”
Optimal mean-variance portfolio selection (2016, background): “For an illuminating exposition of the problem of intertemporal choices (decisions involving tradeoffs among costs and beneﬁts occurring at different times) lasting over hundred years and leading to the Samuelson’s simplifying model containing a single parameter (discount rate) see [7] and the refere”
Neuronal Reward and Decision Signals: From Theories to Data. (2015, background): “To operationalize preferences and remove their metaphysical and emotional connotations of purpose, desire, and pleasure, Samuelson (501) coined the term revealed preferences that are elicited by choices and follow specific axioms, notably consistency and transitivity.”