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Kavita Arif
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Cards (64)
Evolutionary symmetric games
Games in finite and well-mixed populations of size N, modelled as
birth-death processes
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eC
(
1
,
0
)T
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eD
(0, 1)
T
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x
Strategy profile, state of the population described by x =
0.4eC
+ 0.6eD = (
0.4
, 0.6)T
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Payoff
matrix
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Replicator
dynamics
ẋ = x(
1
- x)[x(a - c) + (1 - x)(b -
d
)]
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When N → ∞, we recover
replicator dynamics
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When N < ∞, x(t) fluctuates, requiring
stochastic
modelling
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Coexistence equilibrium
x* = (
d
-
b
) / (a - c + d - b)
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Coexistence equilibrium
is metastable when b > d, c > a in a
finite
population
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Birth
and
death rates
are functions of the fitness of C and D
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Moran process
λi = (i/N)(N-i/N)(fC(i)/f̄(i))
μi = (i/N)(N-i/N)(fD(i)/f̄(i)
)
where f̄(i) = (i/N)fC(i) + (1 - i/N)fD(i)
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Fermi process
λi = (i/N)(N-i/N)
2
/ (
1
+ e(fD(i)-fC(i)))
μi = (i/N)(N-i/N)
2
/ (
1
+ e-(fD(i)-fC(i)))
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Dynamics with
Moran
and Fermi processes are the same in the
weak selection limit
(s << 1)
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Fixation
probability of C
φC
i
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Fixation
probability of D
φD
i
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Fixation
probabilities satisfy a
2nd-order linear
map
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Fixation probability of a single D
φD =
1 - φC
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Neutral dynamics (s =
0
)
φC
i = i/N
φC =
1/N
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Constant
fitness (fC(i) = r, fD(i) =
1
)
φC
i = (rN-i -
1
) / (rN -
1
)
φC = (
rN
-
1
- 1) / (rN - 1)
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Goal:
Fixation
probability in
2-player
evolutionary games with 2 pure strategies in finite populations
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Pure strategies
Strategies where the player always chooses the
same
action
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Infinite populations
Populations where the number of individuals is very
large
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Weak selection
Selection intensity is small (
0
<s<<
1
)
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Fixation
probability of
C
, ϕC, has an exact formula
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Fixation
probability of
C
, ϕC, has examples
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Fixation
probability of
C
, ϕC, has a weak selection
limit
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Birth-death process
Stochastic process where individuals are born and die, leading to
changes
in the population
composition
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Absorbing
boundaries
States where the process
cannot
leave once entered (fixation of
C
or D)
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In
2-player
games with 2 pure strategies, the outcome is
fixation
of either C or D
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Fitness-dependent
Moran process
Birth-death
process where the birth and
death rates
depend on the fitness of the individuals
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Fitness-dependent
Fermi process
Birth-death process where the birth and
death rates
depend on the fitness of the individuals via a
Fermi
function
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Under weak selection, the
fixation
probability of a single C has a
simple
expression
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Selection favours fixation of C
When the
fixation
probability of C is greater than
1/N
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Selection opposes
fixation
of
C
When the
fixation
probability of
C
is less than 1/N
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Under weak selection and large N, selection favours fixation of C if
a+2b
>
c+2d
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Under weak selection and large N, selection opposes fixation of C if
a+2b
< c+
2d
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Coordination game
Game where a > c and d > b
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In coordination games under weak selection and large N, there is an
unstable coexistence equilibrium
at a frequency x* <
1/3
of C
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In coordination games under weak selection and large N, selection favours
fixation
of C if the
basin
of attraction of x* is greater than 2/3
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