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The Weltanschauung of Howard Rachlin: Interdependencies among behaviors and contexts.

  • Published In: Journal of the Experimental Analysis of Behavior, 2023, v. 119, n. 1. P. 259 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fisher, Edwin B. 3 of 3

Abstract

Through his broad perspectives and curiosity, Howard Rachlin took behaviorism, added critical perspectives and behavioral economics, and contributed substantially to developing behaviorism as an approach to addressing complex human actions and engagements. This essay describes the influence of Rachlin's work in three areas that reflect this broader growth of the field: 1) teleological behaviorism as a response to essentialist thinking about behavior, typified by Ryle's category mistake and including concepts in psychopathology; 2) self‐control as choices among rewards differing by amount and delay and the application of this model to clinical and preventive interventions; and 3) behavioral economic modeling of social support as a commodity substitutable for other commodities of interest such as nicotine. These and the body of Rachlin's work suggest a view not only of interdependencies among behaviors, patterns of behavior, and their consequences, but more broadly, of interdependencies among different settings and their effects on behavior, leading to a behaviorism of systems and contexts. Replacing essentialist discourse of individuals, individual behaviors, and discrete influences, a world view or Weltanschauung emerges of diffuse interdependencies across patterns, individuals, settings, systems, probabilities, and consequences. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of the Experimental Analysis of Behavior. 2023/01, Vol. 119, Issue 1, p259
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2023
  • ISSN:0022-5002
  • DOI:10.1002/jeab.822
  • Accession Number:161473856
  • Copyright Statement:Copyright of Journal of the Experimental Analysis of Behavior is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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