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数学与统计

概率、统计、博弈论与机器学习背后的数学,含完整例题。

Game Theory EN 更新于 2026-08-03

Economic Applications: Markets and Strategy

The concepts of Part I earn their keep in applications. This chapter analyzes the canonical models of imperfect competition and collective action—workhorses of industrial organization and public economics.

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Game Theory EN 更新于 2026-08-03

Bargaining

How is a surplus divided when two parties must agree to realize it? Bargaining theory has two complementary traditions: Nash's axiomatic approach (what properties should a solution have?) and Rubinstein's strategic appro

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Game Theory EN 更新于 2026-08-03

Repeated Games and the Emergence of Cooperation

The Prisoner's Dilemma predicts defection—yet cooperation among self-interested parties is everywhere: cartels hold, merchants extend credit, countries honor treaties, strangers leave tips at restaurants they'll revisit.

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Game Theory EN 更新于 2026-08-03

Bayesian Games: Incomplete Information

Until now, everyone knew everyone's payoffs. In reality, a bidder doesn't know rivals' valuations; an insurer doesn't know the applicant's risk; a poker player doesn't see opponents' cards. Modeling such incomplete infor

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Game Theory EN 更新于 2026-08-03

Dynamic Games with Incomplete Information: Signaling and Screening

When informed players move first, their actions speak: choices reveal, conceal, or distort private information. This chapter develops perfect Bayesian equilibrium and its two flagship applications—signaling and cheap tal

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Game Theory EN 更新于 2026-08-03

Zero-Sum Games and the Minimax Theorem

Pure conflict—what one wins, the other loses—is where game theory began, and where its theory is most complete. Zero-sum games also connect game theory to optimization (linear programming) and to machine learning (advers

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Game Theory EN 更新于 2026-08-03

Existence of Equilibrium and Refinements

This chapter supplies the rigorous core of non-cooperative theory: why equilibria exist, and how to discipline the multiplicity of equilibria in dynamic games.

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Game Theory EN 更新于 2026-08-03

Mechanism Design and Auction Theory

Mechanism design inverts game theory: instead of analyzing a given game, design the game so that self-interested equilibrium play produces the outcome you want. It is the theory behind spectrum auctions, ad exchanges, sc

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Game Theory EN 更新于 2026-08-03

Cooperative Game Theory

Cooperative (coalitional) theory abstracts from individual moves and asks two questions: which coalitions form, and how are the gains divided? Its solution concepts—the core and the Shapley value—are now everyday tools f

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Game Theory EN 更新于 2026-08-03

Evolutionary Game Theory

Maynard Smith's export of game theory to biology replaced rationality with selection: strategies that earn higher payoffs (fitness) reproduce faster. The resulting theory illuminates animal conflict, the evolution of coo

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Game Theory EN 更新于 2026-08-03

Algorithmic Game Theory

Computer science met game theory when the internet became a system of interacting selfish agents—routers, bidders, miners, platforms. Three founding questions organize the field (Nisan–Roughgarden–Tardos–Vazirani): Can e

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Game Theory EN 更新于 2026-08-03

Frontiers: Behavioral, Experimental, and Modern Directions

The final chapter surveys where game theory is being tested, revised, and extended. Each section states the core departure from the classical theory, the leading models, and pointers into the literature.

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Game Theory EN 更新于 2026-08-03

Preface

Game theory is the mathematical study of strategic interaction: situations in which the outcome for each participant depends not only on their own decisions but also on the decisions of others. Born in the 1940s from the

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Game Theory EN 更新于 2026-08-03

Solutions Part1

(a) Two players, three actions each, simultaneous, complete information. (b) Seller and buyer; seller moves first (set price / describe car), buyer accepts or not; sequential with incomplete information (quality is the s

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Game Theory EN 更新于 2026-08-03

Solutions Part2

If the rival bids v_j/2, bidding b wins with probability (v_j/2 < b) = 2b (for b 12); expected profit (v - b) 2b is maximized at b = v/2. Revenue: = 12 · 23 = 13 = , the second-price revenue—revenue equivalence verified.

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