Task 6 Flashcards
What does conflict intractability mean ?
- conflicts that persist because they seem impossible to solve
- characterised by
> persistence
> destructiveness
> resistance to resolution - associated with cycles of high and low intensity
what is the dynamical systems theory?
- a set of interconnected elements that change and evolve over time
- a change on each element depends on influences from other elements
-> connect to task 9
What is an attractor?
a state of changes towards which a dynamical system evolves over time and to which a system returns after it has changed
-> similar to the notion of equilibrium
- channel mental and behavioural experience into a narrow range of coherent states
- attempting to move a system out of its attractor triggers forces that reinstate the system within its attractor
- vary in their relative strength (strong = stable)=
- for lasting change it is necessary to change the attractor states of the system
= difficult
application of the dynamical systems approach to intractable conflicts
- multiple interlinked forces lead to an equilibrium that fixates the respective parties in a state of conflivt
- aim focuses at changing the dynamic of the equilibrium -> to force change in the equilibrium itself
What is the basin of attraction ?
(width)
a set of states that are attracted by (will evolve towards) the attractor
the wider the basin of attraction, the:
- greater the flexibility
- greater the range of ideas/ actions that eventually connect to the dominant mental and behaviourl patterns of the parties
What is the depth of an attractor?
- provides an indey of how difficult it is to transform the malignant tendencies of an intractable conflict
- in a system with more than one attractor mental, affective, and behavioural states categorically sort themselves
-> if change occurs it does so, in a non-linear way (= qualitative)
What is the catastrophe theory?
describes the behaviour of a system with two fixed-points
- splitting factor
to which degree are the issues linked by positive feedback-loops - independent variables
forces promoting the conflict (= conflict of interest, aggravating circumstances) - dependent variables
intensity of conflict
catastrophe theory: what happens during high and low levels of the splitting factor?
high levels
- positive linkage among issues
- the intensity of the conflict increases (slowly) until a certain threshold
- after intensity strongly increases
- once conflict has reached a high level of intensity, decreasing the forces does not reduce intensity to the original level
- forces not reduced until another threshold that represents a lower level of forces is reached
low levels
- multidimensionality in issues
- linear relationship between dependent & independent variable
catastrophe theory: what is positive feedback ? what is negative feedback?
+: mutual reinforcement and amplification
-: compensatory relations among elements
= decrease activation positive feedback loops
= fewer negative feeback loops leads to system being stuck at attractor of conflict
What is reverse engineering?
changing feedback loops from positive to negative
= lowering the level of integration in system
What is the Cusp catastrophy?
- a three dimensional model that has two control variables and one behavioural variable
- 4 elementary catastrophes describe all possible cases of discontinuity in a single dependent/ behavioural variable
What does the Cusp catastrophe look like?
- horizontal plane: control surface
> defined by 2 independent variables = control factors + behavioural pattern
1. splitting factor
2. normal factor
> uni-modality
> region of equilibrium - vertical dimension: behaviour dimension
- top (fold curve): behaviour surface
> has upper and lower surface) - cusp shaped area (shadow):
> burfication set
> its border is the threshold of catastrophic jump
How do you make predictions from the cusp catastrophe model?
- find the point on the control surface that is defined by the level of interest in the control dimension
- level of the behaviour surface directly above this point is the predicted behaviour
- behavioural prediction = bimodality
- bimodal distributions are predicted for each point in the bifurcation set
! control surface = unimodal - the level on the bifurcation set (upper/lower level) depends on the individual´s history
> entering on higher level = stay on higher level (+ vice versa)
> equilibrium condition determined by the point at which the bifurcation set is entered - does not cause catastrophic changes in behaviour:
> movement inside the bifurcation set
> movement in and out of the bifurcation set at the same location
what does bimodality mean ?
for the same combination of control parameters, two modes of behavior are expected