Lesson 1: Introduction

3 Topics

14 Topics

2.1 Public and Private Language

2.2 Uses of Language

2.3 The Dark Side of Language

2.4 Language and Suffering

2.5 The Bright Side of Language

2.6 Symbolism and Language

2.7 Knowledge Check

2.8 Generativity and Language

2.9 Generativity Example

2.10 Knowledge Check

2.11 Theories of Language

2.12 Traditional Theories of Language

2.13 RFT Approach to Language

2.14 Review

Lesson 3: Functional Contextualism

30 Topics

3.1 Concept Map

3.2 Concept Map: Functional Contextualism

3.3 Analytic Goal of Functional Contextualism

3.4 Defining Psychological Event

3.5 Functional Contextualism vs. Traditional Psychology

3.6 Prediction AND Influence

3.7 Focus on Manipulable Variables

3.8 Defining Manipulable Variable

3.9 Context

3.10 Interventions are Part of the Context

3.11 Correlations Between Psychological Events

3.12 Limitations of Correlations

3.13 Importance of Contextual Variables

3.14 Attitudes and Smoking

3.15 Do Attitudes Cause Smoking?

3.16 Attitudes Before Behavior or After?

3.17 Prediction without Influence

3.18 Depression Example #1

3.19 Depression Example #1: Analysis

3.20 Depression Example #2

3.21 Depression Example #2: Analysis

3.22 Birth Control Example #1

3.23 Birth Control Example #1: Analysis

3.24 Birth Control Example #2

3.25 Birth Control Example #2: Analysis

3.26 Knowledge Check

3.27 Traditional Theories of Language

3.28 Lack of Focus on Context

3.29 RFT Focus on the Context of Language

3.30 Review

Lesson 4: Derived Stimulus Relations

40 Topics

4.1 Concept Map

4.2 Derived Stimulus Relations

4.3 Definition of Derived Stimulus Relation

4.4 Derived Stimulus Relation Example

4.5 Directly Trained Relations

4.6 Derived Stimulus Relation

4.7 Stimulus Equivalence Example Part 1

4.8 Stimulus Equivalence Example Part 2

4.9 Stimulus Equivalence Example Part 3

4.10 Trained and Derived Equivalence Relations

4.11 Foxy Equivalence Part 1

4.12 Foxy Equivalence Part 2

4.13 Foxy Equivalence Part 3

4.14 Foxy Equivalence Part 4

4.15 Foxy Equivalence Part 5

4.16 Foxy Equivalence Part 6

4.17 Foxy Equivalence Part 7

4.18 Foxy Equivalence Part 8

4.19 Foxy Equivalence Part 9

4.20 Multiple Types of Stimulus Relations

4.21 Comparative Speed Relation Example

4.22 Knowledge Check

4.23 Networks of Derived Stimulus Relations

4.24 Sampson Network Part 1

4.25 Sampson Network Part 2

4.26 Sampson Network Part 3

4.27 Sampson Network Part 4

4.28 Sampson Network Part 5

4.29 Six Degrees of Kevin Bacon

4.30 Words and Relational Networks

4.31 Words and Expanded Relational Networks

4.32 Knowledge Check

4.33 Derived Stimulus Relations and Symbolism

4.34 Derived Stimulus Relations and Generativity

4.35 Derived Stimulus Relations and the Properties of Language

4.36 Derived Stimulus Relations and Non-Human Animals

4.37 Derived Stimulus Relations and Verbal Ability

4.38 Derived Stimulus Relations and Language Development

4.39 Knowledge Check

4.40 Review

Lesson 5: Human Language and Cognition

4 Topics

5.1 Concept Map

5.2 Does Language Mediate Derived Stimulus Relations?

5.3 Derived Stimulus Relations = Language

5.4 Review

Lesson 6: Relational Frames

7 Topics

6.1 Concept Map

6.2 Relational Frames and Psychological Events

6.3 Derived Stimulus Relations as Learned Behavior

6.4 A Relational Frame

6.5 Relational Framing

6.6 Relational Frames Are Patterns of Responding

6.7 Review

Lesson 7: Relational Responding

45 Topics

7.1 Concept Map

7.2 Relational Responding Definition

7.3 Relational Responding Oreo Example

7.4 Relational Responding Pigeon Non-Example Part 1

7.5 Relational Responding Pigeon Non-Example Part 2

7.6 Relational Responding Pigeon Example

7.7 Sample Relational Responses

7.8 Knowledge Check

7.9 Relational Frame

7.10 Relational Response Example: Fruit Part 1

7.11 Relational Response Example: Fruit Part 2

7.12 Relational Response Example: Balls Part 1

7.13 Relational Response Example: Balls Part 2

7.14 Relational Response Example: Stars Part 1

7.15 Relational Response Example: Stars Part 2

7.16 Relational Response Example: Stars Part 3

7.17 Responding Based on Relative Size

7.18 Relational Response Example: Stars

7.19 Bidirectional Relations

7.20 Mutual Entailment

7.21 Combining Relations

7.22 Relation Between A and B

7.23 Relation Between B and C

7.24 Relation Between A and C

7.25 Combinatorial Entailment

7.26 Stimulus Functions Based on Relation of Size

7.27 Stimulus Functions Based on Relation of Size

7.28 Transformation of Stimulus Functions

7.29 Features of Relational Responding

7.30 Non-Arbitrary Relational Responding

7.31 Arbitrary Relational Responding

7.32 Arbitrary Relations Example: Coins

7.33 Features of Relational Frames

7.34 Arbitrary Relational Response Example: Triangles

7.35 Clue for Arbitrary Relational Response

7.36 Stimulus Functions for Arbitrary Relational Response

7.37 Arbitrary Relational Response

7.38 Features of Arbitrary Relational Response

7.39 Clue for Arbitrary Relational Response

7.40 Contextual Cues for Arbitrary Relational Responses

7.41 Arbitrarily Applicable Relational Responding and Derived Stimulus Relations

7.42 Types of Relational Frames

7.43 Families of Relational Frames

7.44 Knowledge Check

7.45 Review

Lesson 8: Generalized Operants

21 Topics

8.1 Concept Map

8.2 Definition of Operant

8.3 Operant Example #1

8.4 Operant Example #1 – Common Function

8.5 Operant Example #1 – Similar Forms

8.6 Operant Example #2

8.7 Definition of Generalized Operant

8.8 Generalized Operant Example #1 Part 1

8.9 Generalized Operant Example #1 Part 2

8.10 Generalized Operant Example #2

8.11 Generalized Operant Example #3

8.12 Knowledge Check

8.13 Relational Responding as a Generalized Operant

8.14 Dragging Triangles as an Operant

8.15 Dragging Triangles as an Operant: Context

8.16 Dragging Triangles as an Operant: Response

8.17 Dragging Triangles as an Operant: Effect

8.18 Dragging Triangles as a Generalized Operant

8.19 Sample Relational Frames

8.20 Knowledge Check

8.21 Review

Lesson 9: Multiple Exemplar Training

28 Topics

9.1 Concept Map

9.2 Multiple Exemplar Training and Generalized Operants

9.3 Feature #1 of Multiple Exemplar Training

9.4 Feature #2 of Multiple Exemplar Training

9.5 Feature #3 of Multiple Exemplar Training

9.6 Multiple Exemplar Training Example: Imitation

9.7 Multiple Exemplar Training Example: Imitation

9.8 Knowledge Check

9.9 Multiple Exemplar Training for Relational Responding

9.10 MET Example Part 1: Bigger/Smaller

9.11 MET Example Part 2: Bigger/Smaller

9.12 MET Example Part 3: Bigger/Smaller

9.13 MET Example Part 4: Reinforcing Mutual Entailment

9.14 MET Example Part 5: More Examples

9.15 MET Example Part 6: Context

9.16 MET Example Part 7: Arbitrary Relation

9.17 MET Example Part 8: Arbitrary Relation

9.18 MET Example Part 9: Derived and Arbitrary Relation

9.19 MET Example Part 10: Context Predicts Reinforcement

9.20 MET Example Part 11: Arbitrarily Applicable Relational Response

9.21 MET Example Part 12: Class of Responses

9.22 MET Example Part 13: Same Effect

9.23 MET Example Part 14: Given Context

9.24 MET Example Part 15: Relational Response as Generalized Operant

9.25 Naming and Equivalence Classes

9.26 Families of Relational Frames

9.27 Knowledge Check

9.28 Review

Lesson 10: Mutual Entailment

9 Topics

10.1 Concept Map

10.2 Definition of Mutual Entailment

10.3 Sample Bidirectional Relations

10.4 Bidirectional Relations

10.5 Arbitrarily Applicable Mutual Entailment

10.6 Mutual Entailment Example

10.7 Mutual Entailment Cues Example

10.8 Knowledge Check

10.9 Review

Lesson 11: Combinatorial Entailment

15 Topics

11.1 Concept Map

11.2 Definition of Combinatorial Entailment

11.3 Combinatorial Entailment Example Part 1

11.4 Combinatorial Entailment Example Part 2

11.5 Combinatorial Entailment Example Part 3

11.6 Combinatorial Entailment Example Part 4

11.7 Combinatorial Entailment Example Part 5

11.8 Combinatorial Entailment Example Part 6

11.9 Precision of Combinatorially Entailed Relations

11.10 Combining Many Stimulus Relations Part 1

11.11 Combining Many Stimulus Relations Part 2

11.12 Combining Many Stimulus Relations Part 3

11.13 Deriving Vast Networks of Relations

11.14 Knowledge Check

11.15 Review

Lesson 12: Transformation of Stimulus Functions

45 Topics

12.1 Concept Map

12.2 Definition of Transformation of Stimulus Functions

12.3 Sample Psychological Functions of Stimuli

12.4 Perceptual Functions of Stimuli

12.5 Multiple Psychological Functions of Stimuli

12.6 Gorilla at the Zoo Stimulus Functions

12.7 Gorilla in Your Bathroom Stimulus Functions

12.8 Bell and Dog Before Conditioning

12.9 Bell and Dog After Conditioning

12.10 Setting and History Affect Function

12.11 Stimulus Relations Affect Functions

12.12 Relation of Opposition Example with Salt and Sugar

12.13 Mutually Entailed Relations of Opposition

12.14 Additional Stimulus Functions for Salt

12.15 Transformed Stimulus Functions for Sugar

12.16 Transformation of Stimulus Functions Example

12.17 Transformation of Stimulus Functions Based on Arbitrary Relations

12.18 Reinforcing Functions for Arbitrary Stimulus

12.19 Arbitrary Relation of More/Less Established

12.20 Transformed Functions Based on More/Less

12.21 Arbitrary Relation of Opposition Established

12.22 Transformed Functions Based on Opposition

12.23 Arbitrary Relation of Equivalence Established

12.24 Transformed Functions Based on Equivalence

12.25 Transformation of Functions is Part of the Relational Response

12.26 Example: Fear of Dogs and Chiens Part 1

12.27 Example: Fear of Dogs and Chiens Part 2

12.28 Example: Fear of Dogs and Chiens Part 3

12.29 Example: Fear of Dogs and Chiens Part 4

12.30 Example: Fear of Dogs and Chiens Part 5

12.31 Example: Fear of Dogs and Chiens Part 6

12.32 Example: Fear of Dogs and Chiens Part 7

12.33 Example: Fear of Dogs and Chiens Part 8

12.34 Example: Fear of Dogs and Chiens Part 9

12.35 Example: Fear of Dogs and Chiens Part 10

12.36 Example: Fear of Dogs and Chiens Part 11

12.37 Example: Sally and CavityJuice Part 1

12.38 Example: Sally and CavityJuice Part 2

12.39 Example: Sally and CavityJuice Part 3

12.40 Example: Sally and CavityJuice Part 4

12.41 Example: Sally and CavityJuice Part 5

12.42 Example: Sally and CavityJuice Part 6

12.43 Example: Sally and CavityJuice Part 7

12.44 Knowledge Check

12.45 Review

Lesson 13: Contextual Control

26 Topics

13.1 Concept Map

13.2 Relational Responding Based on Physical Properties

13.3 Relational Responding Based on Features of the Context

13.4 Different Cues for Different Frames

13.5 Many Cues Are Words or Phrases

13.6 Sample Contextual Cues

13.7 Cues Often Used for Equivalence Relations

13.8 Contextual Cues Acquire Function via Multiple Exemplar Training

13.9 Contextual Cues Example: Bigger/Smaller

13.10 Contextual Cues Example: Arbitrary Bigger/Smaller

13.11 Derived Contextual Cues Part 1

13.12 Derived Contextual Cues Part 2

13.13 Derived Contextual Cues Part 3

13.14 Crel Definition

13.15 Knowledge Check

13.16 Cfunc Definition

13.17 Transforming All Stimulus Functions Example

13.18 Multiple Stimulus Functions Example

13.19 Cfunc Example: Picture a Banana

13.20 Cfunc Example: Taste of a Banana

13.21 Cfunc Example: Bananarama

13.22 Cfunc Example: Salt and Sugar Opposites

13.23 Common Functions for Equivalence Relations

13.24 Using Cfuncs to Change Functions for Equivalence Relations

13.25 Knowledge Check

13.26 Review

Lesson 14: Arbitrarily Applicable

14 Topics

14.1 Concept Map

14.2 Arbitrarily Applicable Definition and Example

14.3 Arbitrary Applicability and Contextual Control

14.4 Relational Frames Are Not Always Arbitrarily Applied

14.5 Example of Non-Arbitrary Application Part 1

14.6 Example of Non-Arbitrary Application Part 2

14.7 Example of Non-Arbitrary Application Part 3

14.8 Example of Non-Arbitrary Application Part 4

14.9 Example of Non-Arbitrary Application Part 5

14.10 Example of Non-Arbitrary Application Part 6

14.11 Vast Relational Networks

14.12 Vast Relational Networks and Physical Properties

14.13 Vast Relational Networks and Deriving Novel Solutions

14.14 Review

Lesson 15: Implications and Applications

62 Topics

15.1 Concept Map

15.2 Derived Stimulus Relations and Language Development

15.3 Applications of RFT

15.4 Language Units and Relational Networks

15.5 Sentences as Relational Networks Part 1

15.6 Sentences as Relational Networks Part 2

15.7 Sentences as Relational Networks Part 3

15.8 Sentences as Relational Networks Part 4

15.9 Stories as Relational Networks

15.10 Other Language Units as Relational Networks

15.11 Relating Sets of Relations

15.12 Analogies as Relating Relations Example Part 1

15.13 Analogies as Relating Relations Example Part 2

15.14 Analogies as Relating Relations Example Part 3

15.15 Analogies as Relating Relations Example Part 4

15.16 Metaphors as Relating Relations Example Part 1

15.17 Metaphors as Relating Relations Example Part 2

15.18 Metaphors as Relating Relations Example Part 3

15.19 Metaphors as Relating Relations Example Part 4

15.20 Metaphors as Relating Relations Example Part 5

15.21 Problem Solving

15.22 Problem Solving Example Part 1

15.23 Problem Solving Example Part 2

15.24 Problem Solving Example Part 3

15.25 Problem Solving Example Part 4

15.26 Problem Solving Example Part 5

15.27 Problem Solving Example Part 6

15.28 Problem Solving Example Part 7

15.29 Problem Solving Example Part 8

15.30 Problem Solving Example Part 9

15.31 Problem Solving Example Part 10

15.32 Problem Solving Example Part 11

15.33 Problem Solving Example Part 12

15.34 Rules and Contingency-Shaped Behavior

15.35 Contingency-Shaped Behavior Example

15.36 Rule-Governed Behavior Example

15.37 Challenge of Understanding Rule-Governed Behavior

15.38 RFT and Rule-Governed Behavior Example Part 1

15.39 RFT and Rule-Governed Behavior Example Part 2

15.40 RFT and Rule-Governed Behavior Example Part 3

15.41 RFT and Rule-Governed Behavior Example Part 4

15.42 RFT and Rule-Governed Behavior Example Part 5

15.43 The Power of Rules

15.44 RFT and the Dark Side of Language

15.45 Harmful Effects of Language

15.46 Dominance of Verbal Relations

15.47 Bidirectional Transformation of Stimulus Functions

15.48 Bidirectional Transformation of Aversive Functions

15.49 Escape and Avoidance of Aversive Words and Thoughts

15.50 Example: Avoiding Anxiety Part 1

15.51 Example: Avoiding Anxiety Part 2

15.52 Example: Avoiding Anxiety Part 3

15.53 Example: Avoiding Anxiety Part 4

15.54 Example: Avoiding Anxiety Part 5

15.55 Rampant Rule Following

15.56 Rule Following and Behavioral Rigidity

15.57 Acceptance and Commitment Therapy (ACT)

15.58 ACT: Loosen or Weaken Verbal Relations

15.59 ACT: Weaken Transformation of Stimulus Functions

15.60 ACT: Limit Rule Following

15.61 Other RFT Applications and Implications

15.62 Review

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Lesson 5: Human Language and Cognition

An Introduction to Relational Frame Theory (Open Access) Lesson 5: Human Language and Cognition

This lesson briefly describes the connection between derived stimulus relations and human language and cognition from an RFT perspective.

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