GTCRMAOct 1, 2019

Mistakes in Games

arXiv:1910.00225v34 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of identifying strategic errors in games for applications like cybersecurity, but it appears incremental as it builds on established game-theoretic concepts.

The paper introduces a new concept of 'mistake' strategies in game theory, analyzing its relationship to existing solution concepts and developing algorithms for computation, with potential applications in cybersecurity such as detecting cheating in games like poker.

We define a new concept of "mistake" strategies and actions for strategic-form and extensive-form games, analyze the relationship to prior main game-theoretic solution concepts, study algorithms for computation, and explore practicality. This concept has potential applications to cybersecurity, for example detecting whether a human player is illegally using real-time assistance in games like poker.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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