Dynamical Systems in Psychological Science Flashcards

(16 cards)

1
Q

What is a Dynamical System?

A

System that evolves/changes over time

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2
Q

Complex System

A

–> large number of interacting components or agents
- non-linear
- exhibit emergence
- self-organised

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3
Q

Craig W. Reynold’s Flocking Model.
Agents in a 2-D or 3-D world follow what rules:

A
  1. Alignment
  2. Cohesion
  3. Separation
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4
Q

Correlated Fractal =

A

Complexity Matching

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5
Q

In-Phase and Anit-Phase Coordination:

A

In-Phase = both going outwards
Anti-Phase = both going right

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6
Q

Social Motor Coordination

A
  • More harmonious interactions (e.g., Miles et al., 2010, 2009)
  • More rapport (e.g., Hove & , 2010).
  • More social connection (e.g., Marsh et al., 2009).
  • Can reduce perceived interpersonal differences and decrease prejudice (e.g., Miles et al., 2011).
  • Results in better individual and interpersonal task performance (e.g., Richardson et al., 2005; Tolston et al. 2010).
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7
Q

(Varlet & Richardson, 2015) …

A

Competitive running and sprinting
–> examined the stride coordination between Usain Bolt and Tyson Gay (Berlin, 2009)

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8
Q

Dynamic System:

A

Set of rules or equations that determine/define the future state of a system given the current state of the system

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9
Q

Computational Dynamical System

A

A set of rules or equations that determine the future states of a dynamical system at discrete timesteps

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10
Q

Chaos

A

Behaviour that is:
- determinism (definate rule)
- aperiodic (never repeats)
- bounded (stays within a finite range)
- exhibits sensitive independence on initial conditions (two points initial close will drift apart timely)

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11
Q

Continuous Dynaical System

A

A set of rules or equations that deterine the future states of a dynamical system continuously over time
(differential equations)

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12
Q

Dynamical Models of Stable Behavioural States

A

An equation that determines the stable states of a dynamical system.

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13
Q

Schelling’s Segregation Model:

A

following rules:
* Stay if at least third of neighbors are
the same kind
* Move to random location otherwise

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14
Q

Multi-Agent Sheparding Model. Nalepka, Kallen, Chemero, Saltzman, & Richardson (2017).

A

teo players required to heard a small flock of sheep into a central containment region

  1. Corral: Move to the position of the target furthest from the containment region and closest to me + some positive preferred distance offset.
  2. Contain: When all targets are in containment region, oscillate around the herd on ‘my’ side of game field.
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15
Q

Multi-Agent Shepherding: Turing Test Nalepka, Kallen, Chemero, Saltzman, & Richardson (2019).

A

Participants in Human-AI condition: 70% of People thought they were interacting with another Human actor

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