Logit {EvolutionaryGames}

Logit dynamic

Description

Logit dynamic as a type of evolutionary dynamics.

Usage

Logit(time, state, parameters)

Arguments

time

Regular sequence that represents the time sequence under which simulation takes place.

state

Numeric vector that represents the initial state.

parameters

Numeric vector that represents parameters needed by the dynamic.

Value

Numeric list. Each component represents the rate of change depending on the dynamic.

Author(s)

Daniel Gebele [e-mail]

References

Fudenberg, D. and Levine, D. K. (1998) "The Theory of Learning in Games", MIT Press.

Examples

dynamic <- Logit
A <- matrix(c(0, -2, 1, 1, 0, -2, -2, 1, 0), 3, byrow=TRUE)
state <- matrix(c(0.4, 0.3, 0.3), 1, 3, byrow=TRUE)
eta <- 0.1
phaseDiagram3S(A, dynamic, eta, state, FALSE, FALSE)