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MRCPsyh Learning Theory

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Title: MRCPsyh Learning Theory


1
MRCPsyhLearning Theory
  • Dr Mark Worthington
  • Clinical Psychologist

2
Basic Learning Theory
  • Association of events
  • Allows an understanding of what is likely to
    follow in any given situation
  • Association between response and outcome
  • Adaptive, robust, often automatic
  • Habituation A constant or repeated stimulus will
    result in decreased response

3
Classical / Pavlovian Conditioning
  • One event/stimulus becomes associated with
    another through repeated pairings
  • No awareness / understanding necessary
  • Awareness can facilitate

4
Operant / Instrumental Conditioning
  • A type of learning in which the future
    probability of a behaviour occurring is affected
    by its consequences.
  • Positive reinforcement Behaviours leading to
    positive consequences are more likely.
    Associations between stimulus and response.
  • Associations develop from random actions.
  • Operant conditioning quicker when reinforcement
    is clearly under the control of the organism.

5
The Operant Conditioning Chamber/ Skinner Box
6
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7
Negative Reinforcement Punishment
  • Negative reinforcement Behaviours leading to
    avoidance of negative consequences are more
    likely.
  • Escape the aversive event is terminated.
  • Avoidance the event is prevented.
  • Punishment non-behaviour is reinforced. The
    behaviour is associated with aversive (positive)
    or omitted -desirable (negative) stimulus.

8
Observational / Social Learning
  • Learning associations through observation.
  • Conditioning can be classical or operant.
  • Observational (or vicarious) reinforcement
    through passive witnessing of another being
    rewarded.
  • Takes longer than direct learning.
  • Depends upon the features of the model and the
    mode of observation.

9
Observational Learning
  • Optimal conditions
  • Live modelling is more
  • effective than symbolic
  • modelling
  • (e.g. watching a video)
  • Active participation and
  • familiarity with the
  • model improve learning

10
Cognitive Learning
  • Involves a degree of awareness.
  • Awareness can facilitate but is unnecessary in
    operant and classical conditioning.
  • Awareness is necessary in the following
  • Explicit transmission of facts
  • Where a situation is mentally structured to find
    a solution
  • Awareness is initially absent but increases in
    social learning (Social competence, awareness of
    rules).

11
Extinction
  • A CR can be weakened / eliminated when the CS is
    repeatedly presented in absence of US
  • Decrease is a function of features of the
    reinforcement.
  • The strength of response the number of
    responses over time without reinforcement.
  • Response can spontaneously recover.
  • Old CR can be relearned more quickly.

12
Formulation of Clinical Problems
  • Phobias
  • Develop through classical conditioning
  • Maintained by operant conditioning
  • Avoidance of / escape from anxietyprovoking
    stimuli removes unpleasant emotions, thus
    reinforcing behaviour of avoidance
  • More aversive stimuli require fewer pairings.
  • Fear Classical conditioning, vicarious,
    instruction
  • Jellyfish look of fear in others ? fear in self

13
Example Social Anxiety
  • Individual with social anxiety will feel a
    significant decrease in anxiety once he/she
    decides to avoid attending a large social event.
  • results in the removal of the unpleasant anxiety
    symptoms thereby reinforcing avoidance behavior
    thus, it becomes the person's preferred method of
    coping with future social events.
  • If individual attempted to go to the event,
    despite their reservations, they might experience
    a panic attack while there
  • person immediately exits the party, panic
    subsides, behaviour of escape is rewarded by the
    swift reduction in panic symptoms.

14
Formulation of Clinical Problems Contd
  • Depression Learned helplessness
  • Individual has learned to behave helplessly, even
    when the opportunity is restored for it to help
    itself by avoiding an unpleasant circumstance to
    which it has been subjected
  • Addiction Operant conditioning
  • Positive reinforcer elevated mood.
  • Negative reinforcer escape of an unpleasant
    event(s).
  • Relapse upon reintroduction to existing
    environment.
  • Extreme inactivity in chronic pain Learned
    avoidance.

15
Other Processes
  • Generalisation
  • Similar stimulus elicits the conditioned response
  • Fear of a white rat may generalise to fear of
    white, furry things
  • Strength of response depends on the similarities
  • Discrimination
  • The ability to distinguish between stimuli
  • Established more slowly if similarities are
    greater
  • Secondary reinforcement
  • Reinforcing properties of a stimulus acquired
    through pairing with a primary reinforcer
  • E.g. clicker training with dogs

16
Other Processes (contd)
  • Incubation
  • Where fear increases over successive
    non-reinforced presentations of the CS
  • Due to the conditioning of an emotional response
  • Escape negatively reinforced by escape from
    emotion
  • Stimulus Preparedness
  • Biological predispositions to react with fear
  • Conditioning quicker, more resistant to
    extinction
  • Enhances two stage model of phobia to account for
    the failed equipotentiality assumption

17
Behavioural Interventions
  • Consent is required.
  • Relies on accurate formulation.
  • Reciprocal inhibition.
  • Rewarding desired behaviours whilst not rewarding
    (ignoring) or punishing undesirable behaviours.
  • Desirable change is enhanced if the two
    behaviours are incompatible.

18
Behavioural Interventions contd
  • Habituation.
  • A form of counter-conditioning.
  • Successive presentation leads to a decrease in
    response.
  • E.g. systematic desensitisation
  • Facilitate with substitution (e.g. relaxation).
  • Exposure methods
  • Flooding enforced exposure.
  • Desensitisation gradual exposure.
  • Modelling vicarious exposure.
  • Imagery exposure to the imagined stimulus.

19
Behavioural Interventions contd
  • Chaining.
  • Learning complex behaviours through breaking
    into steps.
  • Backward chaining facilitated by the end reward .
  • Shaping.
  • Successive approximations are rewarded.
  • Cueing.
  • Cue the stimulus that elicits the behaviour.
  • Use the phobic object to cue opposite behaviours.
  • Cue desirable behaviours at appropriate times.

20
Reinforcement Schedules
  • Continuous 11 quick learning, rapid
    extinction.
  • Fixed / Variable, Interval / Ratio

21
Beware the Pitfalls of Punishment
  • Can elicit aggression and side effects
    interferes with subsequent attempt to teach more
    appropriate behaviour
  • People may become conditioned punishers
  • Unwanted behaviour suppressed only when CP is
    present, or avoidance of CP all together
  • Punishing may be modelled or imitated
  • Becomes relied upon and increases following
    spontaneous recovery
  • Does not establish more appropriate behaviour,
    may even result in general suppression of
    behaviour
  • Ideally should only be used with positive
    reinforcement of alternative response

22
Learning a final note
  • Learning should be considered in terms of its
    global function to adapt to the environment.
  • Learning can be conscious or unconscious.

23
MRCPsychIntelligence
  • Dr Mark Worthington
  • Clinical Psychologist

24
Assumptions
  • Intelligence varies across individuals and can be
    measured.
  • Eysenck intelligence reflected at different
    levels
  • Biological (substrate)
  • Behavioural (e.g. exam success)
  • Psychometric (as measured by intelligence tests).
  • Existence of a general intelligence factor g
  • statistic used in psychometrics to quantify the
    mental ability underlying results of various
    tests of cognitive ability

25
Components of Intelligence
  • Fluid creativity, novel solutions.
  • Crystallised knowledge, application to concrete
    problems.
  • Psychometric tests and factor analysis
    Correlate subscales.
  • The Wechsler Adult Intelligence Test Third
    edition (WAIS-III)
  • Full Scale IQ
  • Verbal Scale IQ
  • Verbal Comprehension Index
  • Working Memory Index
  • Performance Scale IQ
  • Perceptual Organisation Index
  • Processing Speed Index
  • IQ Generally, ratio between test score and age
    norm x 100.

26
Psychometrics or Computation- Ability or
Processes
  • Computational models - components
  • Metacomponents (strategy, higher-order control)
  • Performance components (execution)
  • Acquisition components (learning processes)
  • Retention components (memory, retrieval)
  • Transfer components (generalisation of knowledge)

27
Some Assessment Issues
  • Populations need to have a mean of 100.
  • Those developed in other countries to have a mean
    of 100 leave western subject performing poorly.
  • Immigrants increase performance over time due to
    crystallised intelligence.
  • Intelligence/IQ is whatever the tests measure.
  • The reverse is a circular argument.
  • Several factors influence performance.
  • Tests that minimise the influence of the
    material.

28
MRCPsychThought
  • Dr Mark Worthington
  • Clinical Psychologist

29
Thought and Language
  • Initial ideas...
  • Thought and language are closely related.
  • Thought is evident in imagery but mainly
    propositional.
  • The mind/brain has an ability to reduce
    information processing load.

30
Important Terms
  • Concept Mental representation of a class of
    objects
  • Categorisation The process whereby objects are
    assigned to groups
  • Prototypes An exemplar represents the best
    example of the concept
  • Cores The necessary and sufficient properties
    for inclusion in concept

31
Deductive Reasoning
  • A deductive argument is where the conclusion must
    be true if the premises are true.
  • A gt B B gt C Therefore A gt C
  • Adults good at assessing validity in simple cases
  • Less good as complexity (No. of premises)
    increases.

Inductive Reasoning
  • The conclusion does not necessarily follow
  • A is usually gt B B is always gt C therefore A gt
    C.

32
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33
Problem Solving Strategies
  • Algorithms A set of rules that guarantee the
    solution if applied stepwise.
  • Heuristics Rule of thumb approach.
  • Experienced based techniques for problem solving,
    learning and discovery
  • Reduces the number of possibilities considered
    based on likelihood.
  • Allows an initial solution to be tested rapidly.
  • Draws upon prototypes.
  • Prototypes may lead to errors in judging
    probabilities.
  • Can also lead to humans outperforming computers.
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