Problem 6 Flashcards

1
Q

Complex systems theory

A

Suggests that complex systems all have certain principles in common that predict their behavior

–> characterized by phase transitions between high vs low resilience

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2
Q

High resilience

in a complex system

A

Refers to a high level of stability of the system

–> system can easily face struggles w/o loosing its current equilibrium

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3
Q

Low resilience

in a complex system

A

Refers to highly unstable systems

–> minor disturbances can push the system over a tipping point

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4
Q

There are reasons to assume that psychopathology behaves according to the principles of complex systems.

Why is that ?

A

Because there are several principles of complex systems that can be use to understand the nature of psychopathology

–> usable to foresee transitions in symptoms and thus reduce or prevent them

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5
Q

Hysterisis

A

Refers to the fact that recovery is not linearly related to the removal of the cause of the shift

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6
Q

EWS

A

Refer to early warning signals

–> predict/ foresee symptom shifts

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7
Q

Name the 4 principles of complex systems that are applicable to psychopathology.

A
  1. Sudden shifts in symptoms are observed in patients
    - -> not always but are common
  2. These changes occur in the absence of an obvious, temporally proximal cause/reason
    - -> usually when low resilience
  3. Elements within a complex system are in a continuous interplay with each other
    - -> may form vicious cycle
  4. Transitions in symptom levels can be anticipated by directly assessing changes in the stability of the system
    - -> checking

a) autocorrelation
b) flickering
c) variance

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8
Q

Are those findings applicable to every mentally ill person ?

A

No, the structure of psychopathology + its supposed dimensions may differ per person

  1. one person can trigger certain diseases because they are close in multidimensional space
    - -> may not be true for everybody
  2. clusters themselves can differ per person with regard to its content

THUS: psychiatry needs personalized approaches to succeed

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9
Q

Continuous behavior change paradigm

CBC

A

Suggests that changes on behavior result from rational + analytical thinking

–> they are thus assumed to be linear + continuous

BUT: behavior changes are not always this way

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10
Q

Quantum behavior change

QBC

A

Suggests that a behavior change can also be unexpected, sudden + nonlinear in addition to the things mentioned in CBC

–> alternative paradigm which overcome the limitations of the CBC

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11
Q

Dual process theory

A

Posits that 2 different cognitive systems aid in behavioral decision making

  1. System 1
    - -> intuitive + impulsive; thus fast
  2. System 2
    - -> analytic + logical; thus slow
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12
Q

Cusp catastrophe model

Type of catastrophe model

A

A sudden behavioral change is exhibited once the predictor variables cross the “cusp” threshold

–> can occur for 2 control factors/variables

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13
Q

Catastrophe models

A

Are developed to describe complex natural + social phenomena

–> belong to nonlinear dynamic systems

ex.: earthquakes, social turmoil

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14
Q

Dynamics

A

Refers to the study of the way systems change

–> the effect of forces on the behavior of systems over time + manner in which the systems seek stable states (attractors)

e.g.: can be used to explore simple + complex systems

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15
Q

Dynamic system

A

Refers to a system whose changes over time can be characterized by a set of equations

–> these show how current values of variables depend mathematically on previous values of those variables

BUT: have to be described in non-linear equations

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16
Q

State space

A

Refers to a set of states a system can be in

–> determined by the variables that are used to measure it

e.g.: weather model = keeps track of temperature, humidity etc giving one a 15 variables

17
Q

Non linear System

A

Jump from one point in state space to another different point in a short period of time

–> erratic behavior

e.g.: weather can change in a couple of hours dramatically

THUS: the change of the output is not proportional to the change of the input

18
Q

Attractors

A

Refer to relatively stable states, that are portions of the phase state

–> dynamic systems tend to settle here, despite being erratic

19
Q

Phase transition

A

Happen when one attractor state changes into another

e.g.: when water freezes, the system is put into a qualitatively different state

20
Q

Chaos

A

Occurs when very small differences in the values of variables if its equations can produce dramatically different outcomes as the system develops (=butterfly effect)

–> can be displayed by a dynamic system

21
Q

Chaotic systems

A

Display abrupt phase transitions that are difficult to predict, because they depend on minor changes in many variables

22
Q

When we think of the mind as a dynamic system, how are

a) attractors
b) multiple attractors
c) chaos

relatable ?

A
  1. Attractors
    - -> explain stable patterns of behavior
  2. Multiple attractors
    - -> explain abrupt phase changes
  3. Chaos
    - -> explains the unpredictability of behavior
23
Q

There are 5 types of attractors.

Name them.

A
  1. Fixed point
    - -> simple attractor;
  2. Finite number of points
  3. Limit cycle
    - -> simple attractor;
  4. Limit torus
    - -> changes in characteristic but not in form
  5. Strange attractor
24
Q

Linear systems

A

Its changes can be modeled with 2 or more equations, whose solutions can be combined to obtain another solution

25
Q

Butterfly effect

A

Describes how a small change in one state of a deterministic non-linear system can result in large differences in a later state

–> underlying principle of chaos

26
Q

A predictor behavior must possess 5 qualities to be considered within the context of catastrophe theory.

Name them.

A
  1. Bimodality
    - -> binary presence/absence of the behavior of interest
  2. Inaccessibility
  3. Divergence
  4. Hysterisis
  5. Abrupt transitions
27
Q

Self-organization

A

Refers to a process by which a structure of pattern emerges in an open system

–> w/o specifications from the outside environment