Relational Frame Theory and Human Intelligence

Abstract

The current paper re-examines the concept of intelligence using Relational Frame Theory (RFT) and suggests a theoretical framework for the analysis of “intelligent” behaviors. We begin by introducing the practices of the standard measurement of intelligence, the intelligence quotient (IQ), and some key features of commonly used IQ tests. We outline a proposed framework, which we suggest provides a rationale for the construction of interventions to raise intelligence quotients as calculated by standardized IQ tests. Specifically, the current paper proposes that training skills in derived relational responding (DRR) by utilizing multiple exemplar training (MET) can accomplish this goal.