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  1. A framework for the unification of the behavioral sciences.Herbert Gintis - 2007 - Behavioral and Brain Sciences 30 (1):1-16.
    The various behavioral disciplines model human behavior in distinct and incompatible ways. Yet, recent theoretical and empirical developments have created the conditions for rendering coherent the areas of overlap of the various behavioral disciplines. The analytical tools deployed in this task incorporate core principles from several behavioral disciplines. The proposed framework recognizes evolutionary theory, covering both genetic and cultural evolution, as the integrating principle of behavioral science. Moreover, if decision theory and game theory are broadened to encompass other-regarding preferences, they (...)
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  • Sexual motivation, patriarchy and compatibility.Walter G. Stephan - 1992 - Behavioral and Brain Sciences 15 (1):111-112.
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  • Toward a nonarbitrary social psychology.David C. Funder - 1992 - Behavioral and Brain Sciences 15 (1):99-100.
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  • Half a theory and half the data for half the people?Jeffry A. Simpson - 1992 - Behavioral and Brain Sciences 15 (1):109-110.
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  • Two dynamic criteria for validating claims of optimality.Geoffrey F. Miller - 1991 - Behavioral and Brain Sciences 14 (2):228-229.
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  • Should the quest for optimality worry us?Nils-Eric Sahlin - 1991 - Behavioral and Brain Sciences 14 (2):231-231.
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  • A different view of numerical processes in animals.E. J. Capaldi & Daniel J. Miller - 1988 - Behavioral and Brain Sciences 11 (4):582-583.
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  • What do men want?Donald Symons - 1992 - Behavioral and Brain Sciences 15 (1):113-114.
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  • Variations on a theme: Age dependent mate selection in humans.Karl Grammer - 1992 - Behavioral and Brain Sciences 15 (1):100-102.
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  • Age differences between mates in southern African pastoralists.Henry Harpending - 1992 - Behavioral and Brain Sciences 15 (1):102-103.
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  • The evolutionary model is synthetic not heuristic.P. A. Russell - 1992 - Behavioral and Brain Sciences 15 (1):108-109.
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  • The infinite regress of optimization.Philippe Mongin - 1991 - Behavioral and Brain Sciences 14 (2):229-230.
    A comment on Paul Schoemaker's target article in Behavioral and Brain Sciences, 14 (1991), p. 205-215, "The Quest for Optimality: A Positive Heuristic of Science?" (https://doi.org/10.1017/S0140525X00066140). This comment argues that the optimizing model of decision leads to an infinite regress, once internal costs of decision (i.e., information and computation costs) are duly taken into account.
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  • Some optimality principles in evolution.James F. Crow - 1991 - Behavioral and Brain Sciences 14 (2):218-219.
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  • Definitional constraints and experimental realities.Fabio Idrobo & David I. Mostofsky - 1988 - Behavioral and Brain Sciences 11 (4):588-588.
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  • Kanting processes in the chimpanzee: What really counts?Sarah T. Boysen - 1988 - Behavioral and Brain Sciences 11 (4):580-580.
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  • Protocounting as a last resort.Richard F. Braaten - 1988 - Behavioral and Brain Sciences 11 (4):581-581.
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  • Subitizing and rhythm in serial numerical investigations with animals.Richard A. Burns - 1988 - Behavioral and Brain Sciences 11 (4):581-582.
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  • How evolutionary biology challenges the classical theory of rational choice.W. S. Cooper - 1989 - Biology and Philosophy 4 (4):457-481.
    A fundamental philosophical question that arises in connection with evolutionary theory is whether the fittest patterns of behavior are always the most rational. Are fitness and rationality fully compatible? When behavioral rationality is characterized formally as in classical decision theory, the question becomes mathematically meaningful and can be explored systematically by investigating whether the optimally fit behavior predicted by evolutionary process models is decision-theoretically coherent. Upon investigation, it appears that in nontrivial evolutionary models the expected behavior is not always in (...)
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  • Is economics still immersed in the old concepts of the Enlightenment era?Andrzej P. Wierzbicki - 1991 - Behavioral and Brain Sciences 14 (2):236-237.
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  • Domain-specific rationality in human choices: violations of utility axioms and social contexts.X. T. Wang - 1996 - Cognition 60 (1):31-63.
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  • Evolutionary hypothesis testing: Consistency is not enough.Kim Wallen - 1992 - Behavioral and Brain Sciences 15 (1):118-119.
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  • Difficulties of demonstrating the possession of concepts.Ernst von Glasersfeld - 1988 - Behavioral and Brain Sciences 11 (4):601-602.
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  • Wanting and getting ain't the same.Pierre L. van den Berghe - 1992 - Behavioral and Brain Sciences 15 (1):116-117.
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  • Accounting for age preferences in sexual selection.Arie J. van Noordwijk & Jacqui A. Shykoff - 1992 - Behavioral and Brain Sciences 15 (1):117-118.
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  • Measuring the magnitude of sex differences.John Marshall Townsend - 1992 - Behavioral and Brain Sciences 15 (1):115-116.
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  • The human being as a bumbling optimalist: A psychologist's viewpoint.Masanao Toda - 1991 - Behavioral and Brain Sciences 14 (2):235-235.
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  • The preferred age of a potential mate reflects evolved male sexual psychology.Nancy Wilmsen Thornhill & Patrick A. A. Thornhill - 1992 - Behavioral and Brain Sciences 15 (1):114-115.
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  • To honor Davis & Pérusse and repeal their glossary of processes of numerical competence.Roger K. Thomas - 1988 - Behavioral and Brain Sciences 11 (4):600-600.
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  • Problems of axiomatics and complexity in studying numerical competence in animals.Patrick Suppes - 1988 - Behavioral and Brain Sciences 11 (4):599-599.
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  • Optimal confusion.Stephanie Stolarz-Fantino & Edmund Fantino - 1991 - Behavioral and Brain Sciences 14 (2):234-234.
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  • Possibilities for the construction of a sense of number by animals.Leslie P. Steffe - 1988 - Behavioral and Brain Sciences 11 (4):598-599.
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  • Mortality and age-specific patterns of marriage.Gillian Stevens - 1992 - Behavioral and Brain Sciences 15 (1):112-113.
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  • Avoid the push-pull dilemma in explanation.Kenneth M. Steele - 1991 - Behavioral and Brain Sciences 14 (2):233-234.
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  • Extremum descriptions, process laws and minimality heuristics.Elliott Sober - 1991 - Behavioral and Brain Sciences 14 (2):232-233.
    The examples and concepts that Shoemaker cites are rather heterogeneous. Some distinctions need to be drawn. An optimality thesis involves not just an ordering of options, but a value judgment about them. So let us begin by distinguishing minimality from optimality. And the concept of minimality can play a variety of roles, among which I distinguish between extremum descriptions, statements hypothesizing an optimizing process, and methodological recommendations. Finally, I consider how the three categories relate to Shoemaker’s question that “Who is (...)
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  • What does evolution tell us about age preferences?Steven A. Sloman & Leon Sloman - 1992 - Behavioral and Brain Sciences 15 (1):110-111.
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  • Rational agents, real people and the quest for optimality.Eldar Shafir - 1991 - Behavioral and Brain Sciences 14 (2):232-232.
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  • Are animals naturally attuned to number?Uta Seibt - 1988 - Behavioral and Brain Sciences 11 (4):597-598.
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  • The strategy of optimality revisited.Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):237-245.
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  • The quest for optimality: A positive heuristic of science?Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):205-215.
    This paper examines the strengths and weaknesses of one of science's most pervasive and flexible metaprinciples;optimalityis used to explain utility maximization in economics, least effort principles in physics, entropy in chemistry, and survival of the fittest in biology. Fermat's principle of least time involves both teleological and causal considerations, two distinct modes of explanation resting on poorly understood psychological primitives. The rationality heuristic in economics provides an example from social science of the potential biases arising from the extreme flexibility of (...)
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  • Subjective expected utility theory revisited: A reductio ad absurdum paradox.Paul J. H. Schoemaker - 1992 - Theory and Decision 33 (1):1-21.
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  • Niche construction, adaptive preferences, and the differences between fitness and utility.Armin W. Schulz - 2014 - Biology and Philosophy 29 (3):315-335.
    A number of scholars have recently defended the claim that there is a close connection between the evolutionary biological notion of fitness and the economic notion of utility: both are said to refer to an organism’s success in dealing with its environment, and both are said to play the same theoretical roles in their respective sciences. However, an analysis of two seemingly disparate but in fact structurally related phenomena—‘niche construction’ (the case where organisms change their environment to make it fit (...)
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  • Marital choice and reproductive strategies.Robert Schoen - 1992 - Behavioral and Brain Sciences 15 (1):109-109.
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  • Language and counting in animals: Stimulus classes and equivalence relations.Ronald J. Schusterman - 1988 - Behavioral and Brain Sciences 11 (4):596-597.
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  • Beyond the Hype: The Value of Evolutionary Theorizing in Economics.Armin W. Schulz - 2013 - Philosophy of the Social Sciences 43 (1):46-72.
    In this paper, I consider the recent resurgence of “evolutionary economics”—the idea that evolutionary theory can be very useful to push forward key debates in economics—and assess the extent to which it rests on a plausible foundation. To do this, I first distinguish two ways in which evolutionary theory can, in principle, be brought to bear on an economic problem—namely, evidentially and heuristically—and then apply this distinction to the three major hypotheses that evolutionary economists have come to defend: the implausibility (...)
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  • Age similarity is genetic similarity.J. Philippe Rushton - 1992 - Behavioral and Brain Sciences 15 (1):108-108.
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  • Optimality as a prescriptive tool.Alexander H. G. Rinnooy Kan - 1991 - Behavioral and Brain Sciences 14 (2):230-231.
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  • Personal ads as deviant and unsatisfactory: Support for evolutionary hypotheses.D. W. Rajecki & Jeffrey Lee Rasmussen - 1992 - Behavioral and Brain Sciences 15 (1):107-107.
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  • Studying numerical competence: A trip through linguistic wonderland?Irene M. Pepperberg - 1988 - Behavioral and Brain Sciences 11 (4):595-596.
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  • Don't just sit there, optimise something.J. H. P. Paelinck - 1991 - Behavioral and Brain Sciences 14 (2):230-230.
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  • Age preferences in mates reflect sex differences in human reproductive strategies.Douglas T. Kenrick & Richard C. Keefe - 1992 - Behavioral and Brain Sciences 15 (1):75-91.
    The finding that women are attracted to men older than themselves whereas men are attracted to relatively younger women has been explained by social psychologists in terms of economic exchange rooted in traditional sex-role norms. An alternative evolutionary model suggests that males and females follow different reproductive strategies, and predicts a more complex relationship between gender and age preferences. In particular, males' preferences for relatively younger females should be minimal during early mating years, but should become more pronounced as the (...)
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