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New algorithms tackle equilibria in concurrent stopping games

By PulseAugur Editorial · [1 sources] ·

Researchers have developed new algorithms for analyzing equilibria in concurrent stopping games, a model used for multi-agent systems. The constrained existence problem for Nash equilibria in these games is undecidable, even for simpler turn-based scenarios. The study proposes an approximate solution by considering ε-Nash equilibria, which is computationally intensive but polynomial in the bit-size of ε. Additionally, the research explores extreme risk-sensitive equilibria (XRSE), where players consider worst-case payoffs, and finds the constrained existence problem for XRSE to be NP-complete in concurrent games. AI

IMPACT Introduces new theoretical frameworks for multi-agent systems, potentially impacting future AI research in coordination and decision-making.

RANK_REASON Academic paper published on arXiv detailing new algorithms for game theory. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New algorithms tackle equilibria in concurrent stopping games

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Academic paper published on arXiv detailing new algorithms for game theory. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · K. S. Thejaswini ·

    Algorithms for Equilibria in Concurrent Stopping Games

    Concurrent games are a standard model for multi-agent systems, with Nash equilibrium as their central solution concept. The associated \emph{constrained existence problem}---does a game admit a Nash equilibrium whose expected payoff lies within a prescribed interval for every pla…

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