psych (version 1.5.1)

cta: Simulate the C(ues) T(endency) A(ction) model of motivation

Description

Dynamic motivational models such as the Dynamics of Action (Atkinson and Birch, 1970, Revelle, 1986) may be reparameterized as a simple pair of differential (matrix) equations (Revelle, 1986, 2008). This function simulates the dynamic aspects of the CTA. The CTA model is discussed in detail in Revelle and Condon (2015).

Usage

cta(n = 3, t = 5000, cues = NULL, act = NULL, inhibit = NULL, consume = NULL, 
   ten = NULL,  type = "both", fast = 2)

Arguments

n

number of actions to simuate

t

length of time to simulate

cues

a vector of cue strengths

act

matrix of associations between cues and action tendencies

inhibit

inhibition matrix

consume

Consummation matrix

ten

Initial values of action tendencies

type

show actions, tendencies, both, or state diagrams

fast

display every fast time (skips

Value

• graphical output unless type="none"
• cues
  echo back the cue input
• inhibition
  echo back the inhibitory matrix
• time
  time spent in each activity
• frequency
  Frequency of each activity
• tendencies
  average tendency strengths
• actions
  average action strength

Details

A very thorough discussion of the CTA model is available from Revelle (2008). An application of the model is discussed in Revelle and Condon (2015).

References

Atkinson, John W. and Birch, David (1970) The dynamics of action. John Wiley, New York, N.Y.

Revelle, William (1986) Motivation and efficiency of cognitive performance in Brown, Donald R. and Veroff, Joe (ed). Frontiers of Motivational Psychology: Essays in honor of J. W. Atkinson. Springer. (Available as a pdf at https://personality-project.org/revelle/publications/dynamicsofmotivation.pdf.)

Revelle, W. (2008) Cues, Tendencies and Actions. The Dynamics of Action revisted. http://personality-project.org/revelle/publications/cta.pdf

Revelle, W. and Condon, D. (2015) A model for personality at three levels. Journal of Research in Personality http://personality-project.org/revelle/publications/jrp_14_final.pdf

Examples

#not run 
#cta()   #default values, running over time 
#cta(type="state") #default values, in a state space  of tendency 1 versus tendency 2
#these next are examples without graphic output
#not run
#two introverts
#c2i <- c(.95,1.05)
#cta(n=2,t=10000,cues=c2i,type="none")
#two extraverts
#c2e <- c(3.95,4.05)
#cta(n=2,t=10000,cues=c2e,type="none")
#three introverts
#c3i <-  c(.95,1,1.05)
#cta(3,t=10000,cues=c3i,type="none")
#three extraverts
#c3i <- c(3.95,4, 4.05)
#cta(3,10000,c3i,type="none")
#mixed
#c3 <- c(1,2.5,4)
#cta(3,10000,c3,type="none")