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Relational frame theory

Psychological theory of human language

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  • 4 chapters

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Through Psychology, Language and Cognition

Relational frame theory argues that the building block of human language and higher cognition is relating, i.e. the human ability to create bidirectional links between things. It can be contrasted with associative learning, which discusses how animals form links between stimuli in the form of the strength of associations in memory. However, relational frame theory argues that natural human language typically specifies not just the strength of a link between stimuli but also the type of relation as well as the dimension along which they are to be related. For example, a tennis ball could be associated with an orange, by virtue of having the same shape, but it is different because it is not edible, and is perhaps a different color. In the preceding sentence, 'same', 'different' and 'not' are cues in the environment that specify the type of relation between the stimuli, and 'shape', 'colour' and 'edible' specify the dimension along which each relation is to be made. Relational frame theory argues that while there is an arbitrary number of types of relations and number of dimensions along which stimuli can be related, the core unit of relating is an essential building block for much of what is commonly referred to as human language or higher cognition.

Several hundred studies have explored many testable aspects and implications of the theory such as the emergence of specific frames in childhood, how individual frames can be combined to create verbally complex phenomena such as metaphors and analogies, and how the rigidity or automaticity of relating within certain domains is related to psychopathology. In attempting to describe a fundamental building block of human language and higher cognition, RFT explicitly states that its goal is to provide a general theory of psychology that can provide a bedrock for multiple domains and levels of analysis.

Relational frame theory focuses on how humans learn language (i.e., communication) through interactions with the environment and is based on a philosophical approach referred to as functional contextualism.

Overview

Introduction

Relational frame theory (RFT) is a behavioral theory of human language. It is rooted in functional contextualism and focused on predicting and influencing verbal behavior with precision, scope and depth.

Relational framing is relational responding based on arbitrarily applicable relations and arbitrary stimulus functions. The relational responding is subject to mutual entailment, combinatorial mutual entailment and transformation of stimulus functions. The relations and stimulus functions are controlled by contextual cues.

Contextual cues and stimulus functions

In human language a word, sentence or a symbol (e.g. stimulus) can have a different meaning (e.g. functions), depending on context.

In terms of RFT, it is said that in human language a stimulus can have different stimulus functions depending on contextual cues.

Take these two sentences for example:

  1. This task is a piece of cake.
  2. Yes, I would like a piece of that delicious cake you've made.

In the sentences above the stimulus "cake" has two different functions. The stimulus "cake" has a figurative function in the presence of the contextual cues "this task; is; piece of". Whereas in the presence of the contextual cues "I; would like; delicious; you've made" the stimulus "cake" has a more literal function. The functions of stimuli are called stimulus functions, Cfunc for short.

When stimulus function refer to physical properties of the stimulus, such as quantity, colour, shape, etc., they are called nonarbitrary stimulus functions. When a stimulus function refers to non-physical properties of the stimulus, such as value, they are called arbitrary stimulus functions. For example, a one dollar bill. The value of the one dollar bill is an arbitrary stimulus function, but the colour green is a nonarbitrary stimulus function of the one dollar bill.

Arbitrarily applicable relational responding

Arbitrarily applicable relational responding is a form of relational responding.

Relational responding

Relational responding is a response to one stimulus in relation to other available stimuli. For example, a lion who picks the largest piece of meat. The deer who picks the strongest male of the pack. In contrast if an animal would always pick the same drinking spot, it is not relational responding (it is not related to other stimuli in the sense of best/worst/larger/smaller, etc.). These examples of relational responding are based on the physical properties of the stimuli. When relational responding is based on the physical properties of the stimuli, such as shape, size, quantity, etc., it is called nonarbitrarily relational responding (NARR).

Arbitrarily applicable relational responding

Arbitrarily applicable relational responding refers to responding based on relations that are arbitrarily applied between the stimuli. That is to say the relations applied between the stimuli are not supported by the physical properties of said stimuli, but for example based on social convention or social whim. For example, the sound "cow" refers to the animal in the English language. But in another language the same animal is referred by a totally different sound. For example, in Dutch is called "koe" (pronounced as coo). The word "cow" or "koe" has nothing to do with the physical properties of the animal itself. It is by social convention that the animal is named this way. In terms of RFT it is said that the relation between the word cow and the actual animal is arbitrarily applied. We can even change these arbitrarily applied relations: Just look at the history of any language, where meanings of words, symbols and complete sentence can change over time and place.

Arbitrarily applicable relational responding is responding based on arbitrarily applied relations.

Mutual entailment

Mutual entailment refers to deriving a relation between two stimuli based on a given relation between those same two stimuli: Given the relation A to B, the relation B to A can be derived.

For example, Joyce is standing in front of Peter. The relation trained is stimulus A in front of stimulus B. One can derive that Peter is behind Joyce. The derived relation is stimulus B is behind stimulus A.

Another example: Jared is older than Jacob. One could derive that Jacob is younger than Jared. Relation trained: stimulus A is older than stimulus B. Relation derived: stimulus B is younger than stimulus A.

Combinatorial mutual entailment

Combinatorial mutual entailment refers to deriving relations between two stimuli, given the relations of those two stimuli with a third stimulus: Given the relation, A to B and B to C, the relations A to C and C to A can be derived.

To go on with the examples above:

Joyce is standing in front of Peter and Peter is standing in front of Lucy. The relations trained in this example are: stimulus A in front of B and stimulus B in front of C. With this it can be derived that Joyce is standing in front of Lucy and Lucy is standing behind Joyce. The derived relations are A is in front of C and C is behind A.

John is older than Jared and Jared is older than Jacob. Stimulus A is older than stimulus B and stimulus B is older than stimulus C. It can be derived that Jacob is younger than Jared and Jared is younger than John. The derived relation becomes stimulus A is older than stimulus C and stimulus C is younger than stimulus A.

Notice that the relations between A and C were never given. They can be derived from the other relations.

Transfer and transformation of stimulus function

A stimulus can have different functions depending on contextual cues. However a stimulus function can change based on the arbitrary relations with that stimulus.

For example, this relational frame: A is more than B and B is more than C.

For now the stimulus functions of these letters are rather neutral. But as soon as C would be labeled 'as very valuable' and 'nice to have', then A would become more attractive than C, based on the relations. Before there was stated anything about C being valuable, A had a rather neutral stimulus function. After giving C an attractive stimulus function, A has become attractive. The attractive stimulus function has been transferred from C to A through the relations between A, B and C. And A has had a transformation of stimulus function from neutral to attractive.

The same can be done with aversive stimulus function as danger instead of valuable, in saying that C is dangerous, A becomes more dangerous than C based on the relations.

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