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Modeling reproductive decisions with simple heuristics
This paper reviews research on the ecological rationality of human decision making in the domain of reproduction, showing how fertility-related decisions are commonly made using various simple heuristics matched to the structure of the environment in which they are applied, rather than being made wi...
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Published in: | Demographic research 2013-07, Vol.29, p.641-662 |
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description | This paper reviews research on the ecological rationality of human decision making in the domain of reproduction, showing how fertility-related decisions are commonly made using various simple heuristics matched to the structure of the environment in which they are applied, rather than being made with information-hungry mechanisms based on optimization or rational economic choice. First, heuristics for sequential mate search are covered; these heuristics determine when to stop the process of mate search by deciding that a good-enough mate who is also mutually interested has been found, using a process of aspiration-level setting and assessing. These models are tested via computer simulation and comparison to demographic age-at-first-marriage data. Next, a heuristic process of feature-based mate comparison and choice is discussed, in which mate choices are determined by a simple process of feature-matching with relaxing standards over time. Finally, methods for testing the use of such mate choice heuristics in a specific population over time are then described. |
doi_str_mv | 10.4054/DemRes.2013.29.24 |
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First, heuristics for sequential mate search are covered; these heuristics determine when to stop the process of mate search by deciding that a good-enough mate who is also mutually interested has been found, using a process of aspiration-level setting and assessing. These models are tested via computer simulation and comparison to demographic age-at-first-marriage data. Next, a heuristic process of feature-based mate comparison and choice is discussed, in which mate choices are determined by a simple process of feature-matching with relaxing standards over time. Finally, methods for testing the use of such mate choice heuristics in a specific population over time are then described.</description><subject>Age</subject><subject>Animal reproduction</subject><subject>Choices</subject><subject>Decision Making</subject><subject>Decision Models</subject><subject>Demography</subject><subject>Ecological modeling</subject><subject>Environmental Factors</subject><subject>Fertility</subject><subject>Fertility, Human</subject><subject>Heuristics</subject><subject>Mate Selection</subject><subject>Mating behavior</subject><subject>Modeling</subject><subject>Parental investment</subject><subject>Rational choice theory</subject><subject>Rationality</subject><subject>Review Article</subject><subject>Social 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First, heuristics for sequential mate search are covered; these heuristics determine when to stop the process of mate search by deciding that a good-enough mate who is also mutually interested has been found, using a process of aspiration-level setting and assessing. These models are tested via computer simulation and comparison to demographic age-at-first-marriage data. Next, a heuristic process of feature-based mate comparison and choice is discussed, in which mate choices are determined by a simple process of feature-matching with relaxing standards over time. Finally, methods for testing the use of such mate choice heuristics in a specific population over time are then described.</abstract><cop>Rostock</cop><pub>Max Planck Institute for Demographic Research</pub><doi>10.4054/DemRes.2013.29.24</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age Animal reproduction Choices Decision Making Decision Models Demography Ecological modeling Environmental Factors Fertility Fertility, Human Heuristics Mate Selection Mating behavior Modeling Parental investment Rational choice theory Rationality Review Article Social evolution |
title | Modeling reproductive decisions with simple heuristics |
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