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Arbitrarily Applicable Relational Responding
Stockholm University, Faculty of Social Sciences, Department of Psychology, Clinical psychology. Linköping University, Sweden.
2019 (English)In: Artificial General Intelligence. AGI 2019. Lecture Notes in Computer Science / [ed] Patrick Hammer, Pulin Agrawal, Ben Goertzel, Matthew Iklé, Springer, 2019, p. 101-110Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to introduce how contemporary behavioral psychology approaches intelligence and higher-order cognitive tasks, as instances of so-called arbitrarily applicable relational responding (AARR). We introduce the contemporary theory Relational Frame Theory (RFT), that suggests that key properties of AARR are mutual entailmentcombinatorial entailment, and transformation of stimulus function. Furthermore, AARR are contextually controlled and developed through multiple-exemplar training. We explain these concepts and provide examples of how RFT uses this framework to explain complex cognitive tasks such as language, analogies, a sense of Self, and implicit cognition. Applications of RFT are surveyed. Finally, the relevance of RFT for the AGI audience is discussed.

Place, publisher, year, edition, pages
Springer, 2019. p. 101-110
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11654
Keywords [en]
Relational Frame Theory, Behavioral psychology, Cognition, Intelligence, Language, Higher-order cognition, Self
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-177847DOI: 10.1007/978-3-030-27005-6_10ISBN: 978-3-030-27004-9 (print)ISBN: 978-3-030-27005-6 (electronic)OAI: oai:DiVA.org:su-177847DiVA, id: diva2:1383803
Conference
12th International Conference, AGI 2019, Shenzhen, China, August 6–9, 2019
Available from: 2020-01-08 Created: 2020-01-08 Last updated: 2020-01-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • html
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  • asciidoc
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