Cargando…
Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis
Researchers and practitioners recognize four domains of behavior analysis: radical behaviorism, the experimental analysis of behavior, applied behavior analysis, and the practice of behavior analysis. Given the omnipresence of technology in every sphere of our lives, the purpose of this conceptual a...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967563/ https://www.ncbi.nlm.nih.gov/pubmed/35378843 http://dx.doi.org/10.1007/s40614-022-00332-3 |
_version_ | 1784678869142339584 |
---|---|
author | Lanovaz, Marc J. |
author_facet | Lanovaz, Marc J. |
author_sort | Lanovaz, Marc J. |
collection | PubMed |
description | Researchers and practitioners recognize four domains of behavior analysis: radical behaviorism, the experimental analysis of behavior, applied behavior analysis, and the practice of behavior analysis. Given the omnipresence of technology in every sphere of our lives, the purpose of this conceptual article is to describe and argue in favor of a fifth domain: machine behavior analysis. Machine behavior analysis is a science that examines how machines interact with and produce relevant changes in their external environment by relying on replicability, behavioral terminology, and the philosophical assumptions of behavior analysis (e.g., selectionism, determinism, parsimony) to study artificial behavior. Arguments in favor of a science of machine behavior include the omnipresence and impact of machines on human behavior, the inability of engineering alone to explain and control machine behavior, and the need to organize a verbal community of scientists around this common issue. Regardless of whether behavior analysts agree or disagree with this proposal, I argue that the field needs a debate on the topic. As such, the current article aims to encourage and contribute to this debate. |
format | Online Article Text |
id | pubmed-8967563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-89675632022-03-31 Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis Lanovaz, Marc J. Perspect Behav Sci Original Research Researchers and practitioners recognize four domains of behavior analysis: radical behaviorism, the experimental analysis of behavior, applied behavior analysis, and the practice of behavior analysis. Given the omnipresence of technology in every sphere of our lives, the purpose of this conceptual article is to describe and argue in favor of a fifth domain: machine behavior analysis. Machine behavior analysis is a science that examines how machines interact with and produce relevant changes in their external environment by relying on replicability, behavioral terminology, and the philosophical assumptions of behavior analysis (e.g., selectionism, determinism, parsimony) to study artificial behavior. Arguments in favor of a science of machine behavior include the omnipresence and impact of machines on human behavior, the inability of engineering alone to explain and control machine behavior, and the need to organize a verbal community of scientists around this common issue. Regardless of whether behavior analysts agree or disagree with this proposal, I argue that the field needs a debate on the topic. As such, the current article aims to encourage and contribute to this debate. Springer International Publishing 2022-03-31 /pmc/articles/PMC8967563/ /pubmed/35378843 http://dx.doi.org/10.1007/s40614-022-00332-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Lanovaz, Marc J. Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis |
title | Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis |
title_full | Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis |
title_fullStr | Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis |
title_full_unstemmed | Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis |
title_short | Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis |
title_sort | some characteristics and arguments in favor of a science of machine behavior analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967563/ https://www.ncbi.nlm.nih.gov/pubmed/35378843 http://dx.doi.org/10.1007/s40614-022-00332-3 |
work_keys_str_mv | AT lanovazmarcj somecharacteristicsandargumentsinfavorofascienceofmachinebehavioranalysis |