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Articles 1 - 4 of 4
Full-Text Articles in Psychology
Predicting Similarity Judgments In Intertemporal Choice With Machine Learning, Jeffrey R. Stevens, Leen-Kiat Soh
Predicting Similarity Judgments In Intertemporal Choice With Machine Learning, Jeffrey R. Stevens, Leen-Kiat Soh
Jeffrey Stevens Publications
Similarity models of intertemporal choice are heuristics that choose based on similarity judgments of the reward amounts and time delays. Yet, we do not know how these judgments are made. Here, we use machine-learning algorithms to assess what factors predict similarity judgments and whether decision trees capture the judgment outcomes and process. We find that combining small and large values into numerical differences and ratios and arranging them in tree-like structures can predict both similarity judgments and response times. Our results suggest that we can use machine learning to not only model decision outcomes but also model how decisions are …
Social Contact Patterns Can Buffer Costs Of Forgetting In The Evolution Of Cooperation, Jeffrey R. Stevens, Jan K. Woike, Lael J. Schooler, Stefan Lindner, Thorsten Pachur
Social Contact Patterns Can Buffer Costs Of Forgetting In The Evolution Of Cooperation, Jeffrey R. Stevens, Jan K. Woike, Lael J. Schooler, Stefan Lindner, Thorsten Pachur
Jeffrey Stevens Publications
Analyses of the evolution of cooperation often rely on two simplifying assumptions: (i) individuals interact equally frequently with all social network members and (ii) they accurately remember each partner's past cooperation or defection. Here, we examine how more realistic, skewed patterns of contact—in which individuals interact primarily with only a subset of their network's members—influence cooperation. In addition, we test whether skewed contact patterns can counteract the decrease in cooperation caused by memory errors (i.e. forgetting). Finally, we compare two types of memory error that vary in whether forgotten interactions are replaced with random actions or with actions from previous …
Mesotocin Influences Pinyon Jay Prosociality, Juan Duque, Whitney Leichner, Holly Ahmann, Jeffrey R. Stevens
Mesotocin Influences Pinyon Jay Prosociality, Juan Duque, Whitney Leichner, Holly Ahmann, Jeffrey R. Stevens
Jeffrey Stevens Publications
Many species exhibit prosocial behavior, in which one individual’s actions benefit another individual, often without an immediate benefit to itself. The neuropeptide oxytocin is an important hormonal mechanism influencing prosociality in mammals, but it is unclear whether the avian homologue mesotocin plays a similar functional role in birds. Here, we experimentally tested prosociality in pinyon jays (Gymnorhinus cyanocephalus), a highly social corvid species that spontaneously shares food with others. First, we measured prosocial preferences in a prosocial choice task with two different payoff distributions: Prosocial trials delivered food to both the subject and either an empty cage or a partner …
Heterogeneity And Parsimony In Intertemporal Choice, Michel Regenwetter, Daniel R. Cavagnaro, Anna Popova, Ying Guo, Chris Zwilling, Shiau Hong Lim, Jeffrey R. Stevens
Heterogeneity And Parsimony In Intertemporal Choice, Michel Regenwetter, Daniel R. Cavagnaro, Anna Popova, Ying Guo, Chris Zwilling, Shiau Hong Lim, Jeffrey R. Stevens
Jeffrey Stevens Publications
Behavioral theories of intertemporal choice involve many moving parts. Most descriptive theories model how time delays and rewards are perceived, compared, and/or combined into preferences or utilities. Most behavioral studies neglect to spell out how such constructs translate into heterogeneous observable choices. We consider several broad models of transitive intertemporal preference and combine these with several mathematically formal, yet very general, models of heterogeneity. We evaluate 20 probabilistic models of intertemporal choice using binary choice data from two large-scale experiments. Our analysis documents the interplay between heterogeneity and parsimony in accounting for empirical data: We find evidence for heterogeneity across …