Dynamical Systems in Psychological Science Flashcards
(16 cards)
What is a Dynamical System?
System that evolves/changes over time
Complex System
–> large number of interacting components or agents
- non-linear
- exhibit emergence
- self-organised
Craig W. Reynold’s Flocking Model.
Agents in a 2-D or 3-D world follow what rules:
- Alignment
- Cohesion
- Separation
Correlated Fractal =
Complexity Matching
In-Phase and Anit-Phase Coordination:
In-Phase = both going outwards
Anti-Phase = both going right
Social Motor Coordination
- 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).
(Varlet & Richardson, 2015) …
Competitive running and sprinting
–> examined the stride coordination between Usain Bolt and Tyson Gay (Berlin, 2009)
Dynamic System:
Set of rules or equations that determine/define the future state of a system given the current state of the system
Computational Dynamical System
A set of rules or equations that determine the future states of a dynamical system at discrete timesteps
Chaos
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)
Continuous Dynaical System
A set of rules or equations that deterine the future states of a dynamical system continuously over time
(differential equations)
Dynamical Models of Stable Behavioural States
An equation that determines the stable states of a dynamical system.
Schelling’s Segregation Model:
following rules:
* Stay if at least third of neighbors are
the same kind
* Move to random location otherwise
Multi-Agent Sheparding Model. Nalepka, Kallen, Chemero, Saltzman, & Richardson (2017).
teo players required to heard a small flock of sheep into a central containment region
- Corral: Move to the position of the target furthest from the containment region and closest to me + some positive preferred distance offset.
- Contain: When all targets are in containment region, oscillate around the herd on ‘my’ side of game field.
Multi-Agent Shepherding: Turing Test Nalepka, Kallen, Chemero, Saltzman, & Richardson (2019).
Participants in Human-AI condition: 70% of People thought they were interacting with another Human actor