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计算机科学与博弈论:2025–2026 年度综述

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"2025–2026 年度综述"

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Author
Synergy Computer Science Team
Format
EBOOK
Print length
763 pages
Language
ZH-CN
Publisher
协同图书
Series
年度综述
SYBN
I82KB7C970
Product Information

Description

An annual survey of the cs.GT arXiv category, covering research published from September 2025 – August 2026. Built on a close-reading set of 108 papers and organised into 40 chapters, it maps the year by the field's research sub-directions.

Book framework (share of the year's output):

  • Cooperative Game Theory and Social Dilemma Mechanisms (71.5%) — Studies cooperative strategies, social dilemmas, and mechanism design for multi-agent systems with economic and social objectives.
  • Mechanism Design and Market Algorithmic Pricing (7.6%) — Develops algorithms and incentive mechanisms for markets, auctions, and bilateral trade with private information.
  • Fair Division of Indivisible Goods and Envy-Free Allocation (5.2%) — Focuses on fair allocation of indivisible items, envy-free notions, and online fair division with constraints.
  • LLM Agents and Human-AI Strategic Decision Making (5.0%) — Investigates large language models as strategic agents in games, matching markets, and decision-making processes.
  • Multi-Agent Learning and Strategic Reinforcement (4.3%) — Explores game-theoretic learning, strategic interactions, and reinforcement learning in multi-agent environments.
  • Equilibrium Computation and Dynamic Game Analysis (3.7%) — Computes Nash equilibria and analyzes dynamic games with complex utility functions and stochastic environments.
  • Repeated Auctions and Resource Allocation with Budgets (2.1%) — Addresses repeated auction mechanisms, budget constraints, and heterogeneous resource allocation in online platforms.
  • Online Decision Making and Prediction with Constraints (0.4%) — Studies online resource allocation, prophet inequalities, and decision-making under unknown parameters and capacity constraints.
  • Sequential Games and Risk-Averse Strategic Actions (0.2%) — Examines sequential games, timing strategies, and risk measures in data-driven game-theoretic models.

Each sub-direction is covered across three chapters — how it framed its questions, the strength of its key findings, and its open debates and frontiers — so the reader gets a traceable picture of what this part of the field actually produced over the year.

BOOK DETAILS

Product details

SYBN
I82KB7C970
Publisher
协同图书
Language
Chinese (Simplified) / Chinese (Traditional) / English
Print Length
763 pages
Dimensions
6 x 1.91 x 9 inches
Item Weight
2.84 pounds
Volumes
2
ABOUT THE AUTHOR
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Synergy Computer Science Team

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Additional Information

Source & tags

计算机 / 程序设计 / 算法数学 / 博弈论
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