Fact-checked by Grok 2 weeks ago

Symmetric game

In game theory, a symmetric game is a strategic interaction where all players possess identical strategy sets, and the payoff structure ensures that the game appears the same from each player's perspective; specifically, if any two players exchange their chosen strategies, their payoffs are swapped while all other players' payoffs remain unchanged. This strong form of symmetry, distinct from weaker variants where only non-swapping players' payoffs are unaffected, captures scenarios where players are indistinguishable in terms of available actions and incentives. Symmetric games are foundational in both pure and applied due to their prevalence in modeling real-world situations involving identical agents, such as competitive auctions, biological , or dilemmas. They simplify analysis by guaranteeing the existence of symmetric Nash equilibria—outcomes where all players select the same strategy—although asymmetric equilibria may also occur, as demonstrated in certain two-player examples lacking pure symmetric solutions. In zero-sum symmetric games, the payoff is skew-symmetric (i.e., equal to the negative of itself), ensuring fairness since the value of the game is zero, with no player advantage. Key examples include the , where mutual defection is the unique symmetric equilibrium despite cooperative incentives, and Matching Pennies, a illustrating mixed-strategy symmetry. Symmetric games have been central to , where they model and strategy stability, and to multi-agent systems, enabling efficient computation of equilibria in large-scale interactions. Their properties, such as ordinal symmetry (where preference orderings are preserved under transposition), further aid in classifying games and predicting behavior in symmetric environments.

Fundamentals

Definition

In game theory, a normal-form game (also known as a strategic-form game) consists of a finite set of players N = \{1, 2, \dots, n\}, each with a strategy set S_i representing the pure strategies available to player i, and payoff functions u_i: S \to \mathbb{R} for each player i, where S = \prod_{i \in N} S_i is the set of strategy profiles s = (s_1, \dots, s_n) with s_i \in S_i. A is a in which all players have identical sets, so S_i = S for all i \in N and some common S, and the payoff functions satisfy invariance: for any \pi: N \to N and any profile s = (s_1, \dots, s_n) \in S^n, it holds that u_i(s) = u_{\pi(i)}(s_\pi) for all i \in N, where s_\pi = (s_{\pi(1)}, \dots, s_{\pi(n)}). This condition ensures that the game structure remains unchanged under any relabeling of players, reflecting identical roles and incentives across participants. In contrast, an asymmetric game lacks this invariance, permitting player-specific strategy sets (S_i \neq S_j for some i, j) or payoff functions that do not satisfy the permutation condition, thereby introducing distinctions in roles or outcomes based on player identity. For the common case of two-player games, symmetry requires S_1 = S_2 = S and u_1(a, b) = u_2(b, a) for all strategies a, b \in S, meaning the payoff is symmetric in the sense that row player payoffs transpose to column player payoffs.

Basic Examples

One of the most classic examples of a symmetric game is the , a two-player scenario where each player chooses between or , and the payoffs are structured such that mutual cooperation yields moderate benefits for both, but defection dominates for each individual regardless of the other's choice. In this game, arises because the players are indistinguishable: swapping their roles does not alter the payoff structure, as both face identical strategy sets and mirrored outcomes based on the combination of actions chosen. Another illustrative symmetric game is Rock-Paper-Scissors, a zero-sum contest where players simultaneously select one of three options—rock, paper, or scissors—each of which beats one opponent choice and loses to another in a cyclic manner. The symmetry here stems from the identical availability to both players and the fact that payoffs depend solely on the matchup of strategies, remaining unchanged if players are interchanged, ensuring no player-specific advantages. Coordination games like the also exemplify , where two players decide whether to hunt a stag (requiring mutual for a high reward) or a (a safer but lower-yield solo option). is evident as both players have the same strategies and receive identical payoffs for any given pair of choices, making them fully interchangeable without affecting the game's structure. In contrast, the Battle of the Sexes serves as a non-example of a symmetric game, depicting a couple coordinating on an evening activity where one prefers the and the other the game, leading to player-specific payoff preferences that break interchangeability. This asymmetry highlights how symmetric games require that identical strategies by interchangeable players yield mirrored payoffs, a condition not met here due to differing individual incentives.

Symmetry in Payoff Structures

Symmetry in 2x2 Games

In symmetric 2x2 games, the payoff structure is represented using a bimatrix where both players share the same set, typically labeled as actions 1 and 2. The payoff for 1 when choosing i against 2's j is denoted u_1(i,j), and the bimatrix takes the form where 1's payoff matrix is \begin{pmatrix} a & b \\ c & d \end{pmatrix} and 2's is \begin{pmatrix} a & c \\ b & d \end{pmatrix}, ensuring the condition holds across players. This representation reduces the number of independent parameters to four (a, b, c, d), as opposed to eight in a general asymmetric 2x2 bimatrix, highlighting how imposes structural constraints on outcomes. Algebraically, symmetry in these games requires that the payoff functions satisfy u_1(i,j) = u_2(j,i) for all strategy pairs (i,j), meaning the payoff player 1 receives from (i,j) equals what player 2 would receive if roles were swapped to (j,i). Visually, this manifests in the bimatrix as the off-diagonal elements mirroring across the of player 1's matrix (i.e., the b and c entries are swapped in player 2's matrix), while diagonal elements remain identical. A special case of "pure symmetry" occurs when b = c, yielding a form like \begin{pmatrix} a & b \\ b & d \end{pmatrix} for player 1 (and its for player 2), which often aligns with identical payoffs for both players. Symmetric 2x2 games can be classified into types based on the balance between shared and opposing interests, often via decomposition of the payoff matrix into a cooperative (common interest) component and a zero-sum (conflicting interest) component. Common interest games emphasize alignment, where players prefer the same outcomes, as in coordination scenarios with payoff matrices like \begin{pmatrix} 2 & 1 \\ 1 & 2 \end{pmatrix} for player 1 (transpose for player 2), both favoring diagonal matches. Conflicting interest games feature opposition, resembling zero-sum structures such as the skew-symmetric form \begin{pmatrix} 0 & 1 \\ -1 & 0 \end{pmatrix} for player 1 (negative for player 2), where gains for one directly offset the other, though 2x2 cases are limited to trivial equilibria at zero. Mixed types, like the Chicken game, combine elements with tension between cooperation and defection, exemplified by player 1's matrix \begin{pmatrix} 0 & 3 \\ 2 & 1 \end{pmatrix} (transpose for player 2), where swerving avoids mutual loss but yielding concedes advantage. The study of symmetry in 2x2 games traces back to early game theory, particularly von Neumann's 1928 minimax theorem, which established optimal strategies in symmetric zero-sum contexts by proving the equality of maximin and minimax values, laying foundational insights for broader symmetric analyses in the 1930s.

General Symmetric Payoff Matrices

In general finite symmetric games, two players each have an identical finite set of strategies, denoted as S = \{1, 2, \dots, n\}, and the payoff to player 1 choosing strategy i when player 2 chooses j is given by the entry A_{ij} in a payoff matrix A. The symmetry condition requires that u_1(i,j) = u_2(j,i) for all i, j \in S, so player 2's payoff matrix is A^T. A special case occurs when A = A^T, in which both players have the same symmetric payoff matrix, ensuring payoffs depend only on the strategies selected regardless of who selects them. In zero-sum symmetric games, an additional condition holds: u_1(i,j) + u_2(i,j) = 0, leading to A = -A^T, so player 2's payoffs are the negative of player 1's. A representative example is the generalized Rock-Paper-Scissors game, a symmetric 3x3 where strategies correspond to (1), Paper (2), and (3), with cyclic dominance. The payoff matrix A for player 1 (with player 2 receiving payoffs from -A) can be structured as follows, where wins yield +1, losses -1, and ties 0:
RockPaperScissors
Rock0-11
Paper10-1
Scissors-110
This matrix satisfies A = -A^T, leading to no pure strategy Nash equilibria but a unique mixed symmetric equilibrium where each strategy is played with probability \frac{1}{3}. The interchangeability of players in symmetric games implies that best-response functions are identical across players: the optimal response to an opponent's strategy profile is the same regardless of player identity. Additionally, the payoff structure is invariant under relabeling of strategies, preserving equilibria under permutations of S. These properties facilitate analysis by focusing on symmetric strategy profiles. Computationally, the (player 2's = A^T) reduces the number of parameters to n^2 from $2n^2 in asymmetric games, halving requirements for large n and simplifying algorithms for finding equilibria, such as those using replicator dynamics or minimization techniques, compared to asymmetric games. In the special case where A = A^T, the reduction is further to \frac{n(n+1)}{2} unique entries (upper triangle including diagonal).

Equilibria and Properties

Symmetric Nash Equilibria

In a symmetric game, a symmetric equilibrium is a strategy profile in which all players adopt the same strategy s^*, and this strategy is mutually best responding, meaning that for every i and any alternative strategy s, the payoff satisfies u_i(s^*, s^*_{-i}) \geq u_i(s, s^*_{-i}). This equilibrium respects the game's symmetry by ensuring identical behavior across indistinguishable players, distinguishing it from asymmetric equilibria that may exist but violate player interchangeability. The existence of symmetric Nash equilibria is guaranteed in symmetric games under standard conditions. For finite symmetric games, Nash's theorem ensures at least one symmetric exists, as the symmetry allows reduction to a fixed-point problem in the space of symmetric profiles. In more general settings with infinite spaces—specifically, compact sets and continuous, quasi-concave payoff functions—the Debreu-Glicksberg-Fan theorem provides existence of a symmetric by applying a to the best-response correspondence over symmetric profiles. Symmetric Nash equilibria can be characterized as fixed points of the best-response in the symmetric . In finite symmetric games, the best-response maps a symmetric mixed to the set of best responses, and a symmetric occurs where this intersects the diagonal, i.e., the strategy is a best response to itself. For two-player symmetric games, with payoff matrix A where the row player's expected payoff is s^T A t and the column player's is t^T A s, a symmetric mixed s^* satisfies s^* \in \mathrm{BR}(A s^*), or equivalently, \mathrm{BR}(A s^*) \ni s^*, ensuring no player benefits from unilateral deviation. s^* \in \arg\max_{s} \, s^T A s^* This condition highlights the self-consistency inherent to symmetric equilibria, facilitating computational and analytical focus on the reduced symmetric strategy space.

Symmetry's Impact on Equilibrium Selection

In symmetric games, the inherent symmetry of payoff structures often leads to a multiplicity of Nash equilibria, including both symmetric and asymmetric profiles. For instance, in coordination games such as the pure coordination game with identity matrix payoffs, there exist multiple symmetric pure-strategy equilibria, one for each strategy, alongside potentially asymmetric mixed equilibria. This multiplicity arises because the symmetry ensures that any permutation of a symmetric equilibrium remains an equilibrium, complicating selection without additional criteria. Symmetry influences equilibrium selection by favoring symmetric profiles through various refinement concepts. In evolutionary game theory, symmetric equilibria serve as evolutionarily stable strategies (ESS) under replicator dynamics, where populations converge to symmetric ESS that resist invasion by mutants, thereby refining the set of Nash equilibria. The index theorem further aids in analyzing this by assigning topological indices to equilibria in symmetric, differentiable games; the sum of indices equals 1, allowing determination of the number of symmetric equilibria—for example, identifying a zero-index equilibrium implies multiplicity, while an index-1 equilibrium suggests . Symmetry mitigates coordination problems in applications like bargaining games, where symmetric equilibria promote fairness by equalizing payoffs, serving as natural focal points that resolve multiplicity without external mechanisms. For example, in symmetric bargaining setups, the solution yields equal divisions, enhancing efficiency and stability compared to asymmetric outcomes. Historically, John Harsanyi's tracing procedure, introduced in , provides a Bayesian dynamic for selecting symmetric equilibria in coordination games by tracing from initial mixed strategies toward a unique solution that respects .

Handling Asymmetries

Uncorrelated Asymmetries

Uncorrelated asymmetries in symmetric games are player-specific traits, such as arbitrary labels or incidental roles, that distinguish individuals without influencing payoff calculations or optimal selections. These traits introduce nominal differences among otherwise indistinguishable players but leave the core symmetric structure intact, as the utility derived from any strategy profile remains unchanged regardless of player identity. The concept originates from analyses of animal behavior, where such asymmetries enable without costly by assigning conventional roles unrelated to fighting ability or resource value. Examples of uncorrelated asymmetries include player designations in matrix representations of two-player games, where one player is labeled the "row player" and the other the "column player"; this labeling does not alter payoffs, as swapping player identities yields equivalent outcomes. Another instance is the "discoverer" versus "late-comer" distinction in resource contests, where arrival order serves as a neutral cue that settles disputes without affecting the underlying symmetric payoff potential for strategies like escalation or retreat. In these cases, the asymmetry is purely informational and decoupled from any strategic advantage. A defining property of uncorrelated asymmetries is their failure to disrupt equilibrium symmetry. In symmetric games, equilibria retain their interchangeable nature across players, meaning that permuting strategies among players in an equilibrium profile produces another valid equilibrium with identical payoffs. This preservation occurs because the asymmetries do not bias strategy effectiveness or introduce payoff dependencies on player traits, ensuring that symmetric equilibria remain stable and focal. These asymmetries have practical implications for modeling scenarios involving indistinguishable agents, such as identical firms in settings. In symmetric games like the Cournot model, firm labels or positions represent uncorrelated asymmetries that do not impact production costs or market payoffs, allowing analysts to focus on symmetric equilibria where all firms select identical output levels. This approach captures real-world market dynamics, such as commodity production among equivalent competitors, by leveraging the game's to predict uniform behavior without needing to account for irrelevant distinctions.

Payoff-Neutral Asymmetries

Payoff-neutral asymmetries in symmetric games involve modifications to ' payoff functions through the addition of vectors or other affine transformations that do not alter the ordinal rankings of outcomes or the best-response correspondences. For instance, transforming a player's as u_i'(s_i, s_{-i}) = u_i(s_i, s_{-i}) + c_i, where c_i is a player-specific independent of strategies, introduces an apparent while leaving strategic incentives intact. Such transformations are payoff-neutral because they preserve the relative preferences over strategy choices, ensuring that the game's core strategic structure remains symmetric. The mathematical condition for neutrality requires that the argmax over a player's strategy set remains unchanged under the transformation for every fixed strategy profile of opponents: \arg\max_{s_i} u_i'(s_i, s_{-i}) = \arg\max_{s_i} u_i(s_i, s_{-i}) for all s_{-i}. This holds for positive affine transformations u_i'(s_i, s_{-i}) = a_i u_i(s_i, s_{-i}) + b_i with a_i > 0, as the scaling and shift do not affect the location of utility maxima. In symmetric games, these asymmetries thus maintain the interchangeability of players in terms of optimal play, without introducing substantive strategic differences. A representative example occurs when a fixed constant is added to all payoffs of one player in an otherwise symmetric base game, such as a lump-sum or independent of actions. This shifts the player's overall payoff by a constant amount but does not change their best-response strategy, as the addition is strategy-independent. The resulting game retains the same best responses and equilibria as the symmetric version, since no player has an incentive to deviate unilaterally after the shift. To see why neutrality preserves the equilibria set, note that best-response equivalence implies that any strategy profile that was a mutual best response in the original game remains so in the transformed game. Specifically, since \arg\max_{s_i} [u_i(s_i, s_{-i}) + c_i] = \arg\max_{s_i} u_i(s_i, s_{-i}), no player gains an incentive to deviate unilaterally after the shift. Thus, the Nash equilibria coincide exactly with those of the underlying symmetric game, confirming that payoff-neutral asymmetries do not disrupt equilibrium selection or stability.

Advanced Generalizations

N-Player Symmetric Games

In n-player symmetric games, the strategy sets for all are identical, and the payoff function for each is invariant under of the ' identities. Specifically, a game with n is (weakly) symmetric if, for any i and j, there exists a π of the player indices that swaps i and j such that the payoff to player i from strategy profile (s_1, ..., s_n) equals the payoff to player j from the permuted profile (s_{π(1)}, ..., s_{π(n)}), i.e., u_i(s_1, ..., s_n) = u_j(s_{π(1)}, ..., s_{π(n)}). This generalizes the two-player symmetric game by extending permutation invariance to all pairs of while preserving the core idea of identical roles. A stronger notion, total symmetry, requires invariance under every of the , ensuring the game structure remains unchanged regardless of how are relabeled. Payoffs in n-player symmetric games can be represented using symmetric n-way tensors, where the payoff for each player k is captured by a tensor that is symmetric in the k-th mode, meaning its entries are unchanged under swaps of indices corresponding to that player's strategy relative to others. For instance, in a game with finite strategy sets of equal size for each player, the payoff tensor for player k satisfies A^{(k)}{i_1 i_2 \dots i_n} = A^{(k)}{i_{\pi(1)} i_{\pi(2)} \dots i_{\pi(n)}} for any permutation π that fixes the k-th position, reflecting the invariance to player relabeling. This tensorial structure simplifies computation and analysis by reducing the dimensionality of the payoff space compared to asymmetric n-player games. Classic examples of n-player symmetric games include the n-player and s. In the n-player , each player chooses to cooperate or defect, with payoffs depending on the number of cooperators: a defector receives a high reward if others cooperate but a low punishment if all defect, while cooperators share the cost of provision but benefit collectively. This setup is symmetric because all players face identical incentives based on the aggregate choices, making it a for studying in multi-player settings. Similarly, in a , players decide how much to contribute to a , where the total contribution determines the benefit to all, but individual payoffs decrease with personal contributions; symmetry arises from equal access to the good and identical contribution costs. A key property of finite n-player symmetric games is the existence of symmetric equilibria, where all players adopt the same strategy. This follows as a special case of 's existence theorem, applied by restricting attention to the symmetric strategy subspace, which is compact and convex, allowing the use of fixed-point theorems like Brouwer's to guarantee such equilibria. In these equilibria, no player benefits from unilateral deviation while others play symmetrically, and the symmetry ensures that the equilibrium payoff is the same for all players. For totally symmetric games, any symmetric equilibrium is stable under player permutations, further simplifying equilibrium selection compared to asymmetric counterparts.

Extensions to Infinite Strategy Sets

Symmetric games can be extended to settings with infinite sets, particularly continuous strategy spaces. In such frameworks, a symmetric game is defined over compact strategy spaces where each has the same strategy set, and payoff functions are continuous and invariant under permutations of players' strategies. This ensures that the game structure treats all players identically, allowing for the analysis of equilibria in non-discrete environments. Key results on equilibrium existence carry over from finite cases but leverage fixed-point theorems adapted to continuous spaces. Glicksberg's theorem (1952) establishes that any game with compact metric strategy spaces and continuous payoff functions admits a mixed-strategy . For symmetric games, this implies the existence of symmetric mixed-strategy equilibria, as the preserves the structure under the fixed-point mapping; furthermore, under additional assumptions like quasiconcave utilities, symmetric pure-strategy equilibria exist. These results rely on symmetric versions of , where the best-response correspondence is analyzed in the invariant subspace of symmetric strategies. Prominent examples illustrate these extensions. In the symmetric Cournot oligopoly, identical firms choose continuous output levels from a compact (e.g., [0, \bar{q}]) to maximize profits given a downward-sloping , leading to a unique symmetric pure-strategy where all firms produce the same quantity. The provides another case, where players select quitting times from a continuous [0, \infty), incurring linear costs over time until one yields a prize; symmetric mixed-strategy equilibria emerge, with strategies distributing quitting times to balance expected costs and benefits. Applications abound in evolutionary game theory, where symmetric games model interactions in large, homogeneous populations. Here, symmetry implies identical fitness functions across individuals, and dynamics are captured by the replicator equation: \dot{x}_i = x_i (f_i(x) - \bar{f}(x)), where x_i is the frequency of strategy i, f_i(x) is its symmetric fitness, and \bar{f}(x) is the average fitness; stationary points correspond to symmetric Nash equilibria. Modern developments include mean-field approximations for large-n stochastic symmetric games, where interactions approach a deterministic limit as population size grows, facilitating scalable analysis of equilibria in models of noisy or dynamic environments formalized by Lasry and Lions in 2007.

References

  1. [1]
    GAMUT Games
    All players have the same actions available to them. If two players exchange actions, their payoffs are also exchanged and everyone else's payoffs remain the ...
  2. [2]
  3. [3]
    [PDF] Introduction to Game Theory Matrix Games and Lagrangian Duality
    Games such as Morra are said to be symmetric since their payoff matrix is skew symmetric, i.e., PT = −P. Symmetric games are always fair (why?).<|control11|><|separator|>
  4. [4]
    Symmetric Game - Game Theory .net
    Aug 12, 2005 · A game is symmetric if one player's payoffs can be expressed as a transpose of the other player's payoffs.
  5. [5]
    [PDF] Computing Equilibria in Multi-Player Games - Stanford CS Theory
    D ilemma, C hicken, coordination games, and so on. M ore recently, symmetric games have played a central role in evolutionary game theory (see e.g. [4 0]) ...
  6. [6]
    [PDF] Game Theory: Dominance, Nash Equilibrium, Symmetry
    May 23, 2008 · Thus, in a symmetric Nash equilibrium, all players choose the same strategy in equilib- rium. For example, consider the game in Fig. 31 (p. 33).
  7. [7]
    None
    ### Prerequisites
  8. [8]
    [PDF] The iterated Prisoner's Dilemma: good strategies and their dynamics
    The Prisoner's Dilemma is a two-person game that provides a simple model of a dis- turbing social phenomenon. It is a symmetric game in which each of the two ...
  9. [9]
    [PDF] Game Theory
    Symmtric games: A two-person zero-sum game is said to be symmetric if the payoff matrix B satisfies. B = −BT . In particular, this implies m = n. Proposition:We ...
  10. [10]
    [PDF] Pure Strategy Equilibria in Symmetric Two-Player Zero-Sum Games
    May 11, 2011 · On symmetric games, in: Kuhn,. H.W. and A.W. Tucker (eds.), Contributions to the theory of games, Annals of. Mathematics Studies, Princeton ...
  11. [11]
    [PDF] A note on papers-scissors-rock and the strong duality theorem
    Since paper-scissors-rock is a fair game, its value must be 0, and since the payoffs are symmetric, the optimal distribution must be [1/3,1/3,1/3] for either ...
  12. [12]
    Other Dilemmas
    Other Dilemmas. These dilemmas are examples of games in which both players share the same preferences. These games are known as symmetric games.
  13. [13]
    [PDF] Communication in stag hunt games: When does it really help?
    Sep 27, 2024 · The Stag Hunt games explored in the literature so far share a common feature: symmetric payoffs, where both players receive equal payoffs in ...
  14. [14]
    [PDF] Game Theory Chris Georges Some Examples of 2x2 Games
    Battle of the Sexes: This is an asymmetric coordination game. A couple is trying to agree on what to do this evening. They have narrowed the choice down to ...
  15. [15]
    Asymmetric games on networks: Towards an Ising-model ...
    The Battle of the Sexes is an asymmetric game, which means that the same choice combination can have a different payoff for different players. Therefore we need ...
  16. [16]
    [cs/0312005] A Cartography for 2x2 Symmetric Games - arXiv
    Dec 2, 2003 · Abstract: A bidimensional representation of the space of 2x2 Symmetric Games in the strategic representation is proposed.
  17. [17]
    [PDF] An Introduction to Game Theory - Course Websites
    Dec 10, 2018 · ... to consider a symmetric two-player game with payoff functions u1 and u2. The symmetry means. S1 = S2 and for any strategy profile (x, y), u1 ...
  18. [18]
    a novel approach to classification of symmetric $$2\times 2$$ games
    Aug 6, 2025 · In this paper, we provide a detailed review of previous classifications of 2 × 2 2\times 2 2 × 2 games and suggest a mathematically simple ...
  19. [19]
    (PDF) Classification of 2X2 Games and Strategic Business Behavior
    Aug 7, 2025 · This note discusses the classifications of general symmetric and anti-diagonally symmetric 2×2 games, illustrated with business-related ...
  20. [20]
    [PDF] John von Neumann's Conception of the Minimax Theorem
    The first purpose of this paper is to tell the history of John von Neumann's devel- opment of the minimax theorem for two-person zero-sum games from his first ...
  21. [21]
    [PDF] An Introduction to Game Theory by Martin J. Osborne
    ... symmetric games and ... At a minimum, you should study Chapters 2 (Nash Equilibrium: Theory) and 5 (Extensive Games with Perfect Information: Theory).
  22. [22]
    [PDF] Notes on Equilibria in Symmetric Games - InK@SMU.edu.sg
    Without exploiting symme- try, the payoff matrix requires SN cells. This entails a huge computational cost just to store the payoff matrix. For ex- ample, for a ...<|control11|><|separator|>
  23. [23]
    [PDF] Notes on Equilibria in Symmetric Games - Strategic Reasoning Group
    In a symmetric game, every player is identical with re- spect to the game rules. We show that a symmetric 2- strategy game must have a pure-strategy Nash ...
  24. [24]
    [PDF] Non-Cooperative Games Author(s): John Nash Source
    Non-Cooperative Games. Author(s): John Nash. Source: The Annals of Mathematics, Second Series, Vol. 54, No. 2, (Sep., 1951), pp. 286-295. Published by: Annals ...
  25. [25]
    A FURTHER GENERALIZATION OF THE KAKUTANI FIXED POINT ...
    I. L. GLICKSBERG. Introduction. Kakutani's fixed point theorem [3]1 states that in. Euclidean «-space a closed point to (nonvoid) convex set map of a convex ...
  26. [26]
    Fixed-point and Minimax Theorems in Locally Convex Topological ...
    Theorems 7, 9and the construction on pages 270-271 in reference 9. FIXED-POINT AND MINIMAX THEOREMS IN LOCALLY. CONVEX TOPOLOGICAL LINEAR SPACES*. BY KY FAN.
  27. [27]
    Could there be multiple symmetric equilibriums in a symmetric games?
    Nov 13, 2014 · Yes. Consider the coordination game (A,B)=(I,I), where I is the n×n identity matrix. For this game there are 2n−1 symmetric equilibria of the ...
  28. [28]
    Evolutionary Stable Strategies (ESS) - SIUE
    A symmetric matrix can be simplified by writing only the payoffs of the row player, as those of the column player can be easily obtained by exploiting the ...
  29. [29]
    Equilibria in symmetric games: Theory and applications
    This article presents a new approach to analyze the equilibrium set of symmetric, differentiable games by separating multiple symmetric equilibria and ...
  30. [30]
    Bargaining and fairness - PNAS
    Jul 14, 2014 · It is a Nash equilibrium if each player uses the same evolutionary stable strategy in a symmetric game, but evolutionary processes in some games ...
  31. [31]
    The tracing procedure: A Bayesian approach to defining a solution ...
    Harsanyi, J.C. The tracing procedure: A Bayesian approach to defining a solution forn-person noncooperative games. Int J Game Theory 4, 61–94 (1975). https ...
  32. [32]
  33. [33]
    [PDF] Uniqueness and stability in symmetric games: Theory and Applications
    Next, note that, by symmetry, G2 must pass through a point A0 = G2(x2). By continuity of the best-response function there must be at least one symmetric ...
  34. [34]
    [PDF] Game Transformations That Preserve Nash Equilibria or Best ...
    It is a widely used fact that a positive affine (lin- ear) transformation of the utility payoffs neither changes the best-response sets nor the Nash equi-.
  35. [35]
    [PDF] Game theory (part I)
    Under standard utility theory, games are insensitive to any positive affine transformation of the payoffs. Replace each payoff xi by cxi + d, where c and d are ...
  36. [36]
    [PDF] Lecture 1 [2ex] Basic Concepts in Game Theory
    Suppose that we add some constants ci to the payoffs. ˜ℓi(s1,..., sn) = ℓi(s1,..., sn) + ci. Best responses and equilibria are unchanged ! The same holds if ...
  37. [37]
    [PDF] Second-price auctions with private entry costs - EconStor
    Sep 19, 2022 · Abstract: We study asymmetric second-price auctions under incomplete information. The bidders have two potentially different, commonly known ...
  38. [38]
    Symmetry in n-player games - ScienceDirect
    Recall, a two-player game is symmetric if the players share the same strategy space, S 1 = S 2 , and swapping the players' strategies also swaps their payoffs.
  39. [39]
    Computing Nash Equilibria for Multiplayer Symmetric Games Based ...
    May 12, 2023 · In this paper, we find that the payoff tensor of the player k in an m-person symmetric game is k-mode symmetric, and the payoff tensors of two different ...
  40. [40]
    Prisoner's Dilemma - Stanford Encyclopedia of Philosophy
    Sep 4, 1997 · In the latter, members of a population play one another repeatedly in prisoner's dilemma games and those who get higher payoffs “reproduce” more ...
  41. [41]
    Optimal strategies and cost-benefit analysis of the n-player ... - PMC
    The most studied n -player cooperative game is the public goods game (PGG), which is the n -player PD. PGG models a society where members benefit equally from ...
  42. [42]
    A Further Generalization of the Kakutani Fixed Point Theorem ... - jstor
    Kakutani showed that this implied the minimax theorem for finite games. The object of this note is to point out that Kakutani's theorem may be extended to ...
  43. [43]
    [PDF] On the Effects of Entry in Cournot Markets
    In the framework of symmetric Cournot oligopoly, this paper provides two minimal sets of assumptions on the demand and cost functions that imply ...
  44. [44]
    [PDF] the war of attrition in continubus time with complete information
    INTRODUCTION. In this paper, we present a general analysis of the War of Attrition in continu- ous time with complete information. In this game, each of two ...