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Best Response


Definition

In a normal-form game ⟨N,{Si},{vi}⟩\langle N,\{S_i\},\{v_i\}\rangle, fix the other players' strategies s−i∈S−is_{-i}\in S_{-i}. A strategy si∈Sis_i\in S_i is a best response of player ii to s−is_{-i} if, for every si′∈Sis_i'\in S_i,

vi(si,s−i)≥vi(si′,s−i).v_i(s_i,s_{-i})\ge v_i(s_i',s_{-i}).

More generally, if player ii holds a belief πi\pi_i, a probability distribution over S−iS_{-i} (finite here), then sis_i is a best response to πi\pi_i if it maximizes the expected payoff ∑s−i∈S−iπi(s−i) vi(si,s−i)\displaystyle \sum_{s_{-i}\in S_{-i}}\pi_i(s_{-i})\,v_i(s_i,s_{-i}) over SiS_i.


Interpretation

A best response is what a rational agent does once a belief about the others has been formed: the opponents' play is treated as given and the player solves an ordinary maximization problem. With a probabilistic belief this is expected payoff maximization.

Player 2's expected payoffs from L, M and R in Example 1 against her belief that player 1 plays T; the highlighted upper envelope switches from L to M at 2/3, with the belief 0.4 marked.

The figure uses the matrix of Example 1 below. If player 2's belief puts probability π2(T)\pi_2(T) on TT, her expected payoffs are 3−2π2(T)3-2\pi_2(T) from LL, 1+π2(T)1+\pi_2(T) from MM and 00 from RR. The best response is the strategy on the highlighted upper envelope: LL while π2(T)<23\pi_2(T)<\tfrac{2}{3} and MM above 23\tfrac{2}{3}, where the two lines cross, with both optimal at 23\tfrac{2}{3}; RR is never a best response. At the belief 0.40.4 of Example 2 the comparison is 2.22.2 against 1.41.4.

Move player 2's belief π2(T)\pi_2(T): the best response is the strategy on the green upper envelope, switching from LL to MM at 23\tfrac23. Raise RR's payoffs to see when it, too, becomes a best response.

A best response is defined relative to s−is_{-i}; it changes when s−is_{-i} changes. If the belief is wrong, the chosen strategy may not be optimal against what is actually played. Nash equilibrium is the situation in which every player best responds to the strategies the others actually use.

Best responses need not be unique: with ties, all maximizers are best responses, collected in the best-response correspondence BRi(s−i)BR_i(s_{-i}).


Key Results


Examples

1. Matrix game. Payoffs (v1,v2)(v_1,v_2):

LL MM RR
TT 2,12,1 3,23,2 0,00,0
BB 1,31,3 1,11,1 4,04,0

Player 1 compares down each column: the best response to LL is TT (2>12>1), to MM is TT (3>13>1), to RR is BB (4>04>0). Player 2 compares along each row: the best response to TT is MM (2>1>02>1>0), to BB is LL (3>1>03>1>0).

2. Belief. If player 2 believes player 1 plays TT with probability 0.40.4 and BB with probability 0.60.6, the expected payoffs are LL: 0.4⋅1+0.6⋅3=2.20.4\cdot1+0.6\cdot3=2.2, MM: 0.4⋅2+0.6⋅1=1.40.4\cdot2+0.6\cdot1=1.4, RR: 00. The best response to this belief is LL.

3. Cournot. In a Cournot duopoly with price 100−q1−q2100-q_1-q_2 and unit cost 1010, firm 1's profit is (90−q1−q2)q1(90-q_1-q_2)q_1. Setting the derivative 90−2q1−q290-2q_1-q_2 equal to zero gives q1=(90−q2)/2q_1=(90-q_2)/2; since the second derivative is −2<0-2<0, this is a maximum, and against q2=20q_2=20 the best response is q1=35q_1=35.


Prerequisites



Sources

Aliases: best reply, BR Keywords: best response to s_{-i}, best response to a belief, belief about opponents, reaction to the rival's choice, never a best response Symbols: element of, partial, pi, sum

Last updated: 17 October 2026 21:53