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Arbitrarily Applicable Relational Responding

  • 2019
  • OriginalPaper
  • Chapter
Published in:
Author
Robert Johansson
Published in
Artificial General Intelligence
Publisher
Springer International Publishing

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Abstract

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 entailment, combinatorial 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.

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previous chapter An Experimental Study of Emergence of Communication of Reinforcement Learning Agents
next chapter Programmatic Link Grammar Induction for Unsupervised Language Learning
Title
Arbitrarily Applicable Relational Responding
Author
Robert Johansson
Copyright Year
2019
Book
Artificial General Intelligence

Print ISBN: 978-3-030-27004-9

Electronic ISBN: 978-3-030-27005-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-27005-6_10
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