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Title: Computing Equilibria


1
Computing Equilibria
  • Christos H. Papadimitriou
  • UC Berkeley
  • christos

2
Games help us understand rational behavior in
competitive situations
matching pennies
prisoners dilemma
chicken
1,-1 -1,1
-1,1 1,-1
4,4 1,5
5,1 0,0
3,3 0,4
4,0 1,1
3
Concepts of rationality
  • Nash equilibrium (or double best response)
  • Problem may not exist
  • Idea randomized Nash equilibrium
  • Theorem Nash 1951 Always exists.

. . .
4
can it be found in polynomial time?
5
is it then NP-complete?
No, because a solution always exists
6
and why bother?(a parenthesis)
  • Equilibrium concepts provide some of the most
    intriguing specimens of problems
  • They are notions of rationality, aspiring models
    of behavior
  • Efficient computability is an important modeling
    prerequisite
  • if your laptop cant find it, then neither can
    the market

7
Complexity of Nash Equilibria?
  • Nashs existence proof relies on Brouwers
    fixpoint theorem
  • Finding a Brouwer fixpoint is a hard problem
  • Not quite NP-complete, but as hard as any problem
    that always has an answer can be
  • Technical term PPAD-complete P 1991

8
Complexity? (cont.)
  • But how about Nash?
  • Is it as hard as Brouwer?
  • Or are the Brouwer functions constructed in the
    proof specialized enough so that fixpoints can be
    computed?
  • (cf contraction maps)

9
An Easier ProblemCorrelated equilibrium
Chicken
  • Two pure equilibria me, you
  • Mixed (½, ½) (½, ½) payoff 5/2

4,4 1,5
5,1 0,0
10
Idea (Aumann 1974)
  • Traffic signal
  • with payoff 3
  • Compare with
  • Nash equilibrium
  • Even better
  • with payoff 3 1/3

0 ½
½ 0
Probabilities in a lottery drawn by an impartial
outsider, and announced to each player separately
1/4 1/4
1/4 1/4
1/3 1/3
1/3 0
11
Correlated equilibria
  • Always exist (Nash equilibria are examples)
  • Can be found (and optimized over) efficiently by
    linear programming

12
Linear programming?
  • A variable x(s) for each box s
  • Each player does not want to deviate from the
    signals recommendation assuming that the
    others will play along
  • For every player i and any two rows of boxes s,
    s'

13
Linear programming!
  • n players, s strategies each
  • ns2 inequalites
  • sn variables!
  • Nice for 2 or 3 players
  • But many players?

14
The embarrassing subject of many
players
  • With games we are supposed to model markets and
    the Internet
  • These have many players
  • To describe a game with n players and s
    strategies per player you need nsn numbers

15
The embarrassing subject of many
players (cont.)
  • These important games cannot require
    astronomically long descriptions
  • if your problem is important, then its input
    cannot be astronomically long
  • Conclusion Many interesting games are
  • multi-player
  • succinctly representable

16
e.g., Graphical Games
  • Kearns et al. 2002 Players are vertices of a
    graph, each player is affected only by his/her
    neighbors
  • If degrees are bounded by d, nsd numbers suffice
    to describe the game
  • Also multimatrix, congestion, location,
    anonymous, hypergraphical,

17
Surprise!
  • Theorem A correlated equilibrium in a succinct
    game can be found in polynomial time provided the
    utility expectation over mixed strategies can be
    computed in polynomial time.
  • Corollaries All succinct games in the
    literature

18
U
show it is unbounded
need to show dual is infeasible
19
Lemma Hart and Schmeidler, 89 For every y
there is an x such that xUTy 0
  • and in fact, x is the product of the
  • steady-state distributions of the Markov
  • chains implied by y
  • Idea run ellipsoid against hope

20
Leonid Khachiyan 1953-2005
21
These k inequalities are themselves infeasible!
22
also infeasible
infeasible
UXT
just need to solve
23
as long as we can solve
  • given a succinct representation of a game,
  • and a product distribution x,
  • find the expected utility of a player,
  • in polynomial time.

24
And it so happens that
  • in all known cases,
  • this problem can be solved
  • by applying one, two, or all three
  • of the following tricks
  • Explicit enumeration
  • Dynamic programming
  • Linearity of expectation

25
Corollaries
  • Graphical games (on any graph!)
  • Polymatrix games
  • Hypergraphical games
  • Congestion games and local effect games
  • Facility location games
  • Anonymous games
  • Etc

26
Back to Nash complexity summary
2-Nash ? 3-Nash ? 4-Nash ? ? k-Nash ?

1-GrNash ? 2-GrNash ? 3-GrNash ? ? d-GrNash ?

Theorem (with Paul Goldberg, 2005) All these
problems are equivalent
27
From d-graphical games to d2-normal-form
games
  • Color the graph with d2 colors
  • No two vertices affecting the same vertex have
    the same color
  • Each color class is represented by a single
    player who randomizes among vertices, strategies
  • So that vertices are not neglected
    generalized matching pennies

28
From k-normal-form games to graphical games
  • Idea construct special, very expressive
    graphical games
  • Our vertices will have 2 strategies each
  • Mixed strategy a number in 0,1
  • ( probability vertex plays strategy 1)
  • Basic trick Games that do arithmetic!

29
Multiplicationis the name of the gameand each
generationplays the same
30
The multiplication game
x
z wins when it plays 1 and w plays 0
affects
z x y
w
if w plays 0, then it gets x?y. if it plays
1, then it gets z, but z gets punished
0 0
0 1
y
31
From k-normal-form games to 3-graphical games
(cont.)
  • At any Nash equilibrium, z x? y
  • Similarly for , -, brittle comparison
  • Construct graphical game that checks the
    equilibrium conditions of the normal form game
  • Nash equilibria in the two games coincide

32
Finally, 4 players
  • Previous reduction creates a bipartite graph of
    degree 3
  • Carefully simulate each side by two players,
    refining the previous reduction

33
Nash complexity, summary
2-Nash ? 3-Nash ? 4-Nash ? ? k-Nash ?

1-GrNash ? 2-GrNash ? 3-GrNash ? ? d-GrNash ?

Theorem (with Paul Goldberg, 2005) All these
problems are equivalent
Theorem (with Costas Daskalakis and Paul
Goldberg, 2005) and PPAD-complete
34
Nash is PPAD-complete
  • Proof idea Start from a PPAD-complete stylized
    version of Brouwer on the 3D cube
  • Use arithmetic games to compute Brouwer functions
  • Brittle comparator problem solved by averaging

35
Open problems
  • Conjecture 1 3-player Nash is also
    PPAD-complete
  • Conjecture 2 2-player Nash can be found in
    polynomial time
  • Approximate equilibria? cf. Lipton Markakis and
    Mehta 2003

36
In November
  • Conjecture 1 3-player Nash is also
    PPAD-complete
  • Proved!! ChenDeng05, DP05

37
In December
  • Conjecture 2 2-player Nash is in P
  • PPAD-complete ChenDeng05b

38
game over!
39
Thank You!
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