SidConArena is a new multi-phase benchmark framework formalizing a partially observable stochastic game for evaluating LLM agents in open-ended positive-sum bargaining with negotiation, converter production, and sealed-bid auctions.
Simulating public administration crisis: A novel generative agent-based simulation system to lower technology barriers in social science research
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ETI lets LLM agents infer and track partners' psychological traits (warmth and competence) from histories, cutting payoff loss 45-77% in games and boosting performance 3-29% on MultiAgentBench versus CoT baselines.
An LLM-based agent simulation on census-derived spatial populations finds income and education as dominant drivers of self-reporting rates for illness, with smaller effects from geography and message framing.
A survey consolidating benchmarks, agent frameworks, real-world applications, and protocols for LLM-based autonomous agents into a proposed taxonomy with recommendations for future research.
The paper surveys LLM-based multi-agent systems, covering simulated domains, agent profiling and communication, mechanisms for capacity growth, and common benchmarks.
citing papers explorer
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SidConArena: An Environment Evaluating Agents in Open-Ended,Positive-Sum Bargaining Game
SidConArena is a new multi-phase benchmark framework formalizing a partially observable stochastic game for evaluating LLM agents in open-ended positive-sum bargaining with negotiation, converter production, and sealed-bid auctions.
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Explicit Trait Inference for Multi-Agent Coordination
ETI lets LLM agents infer and track partners' psychological traits (warmth and competence) from histories, cutting payoff loss 45-77% in games and boosting performance 3-29% on MultiAgentBench versus CoT baselines.
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An Infectious Disease Spread Simulation Based on Large Language Model Decision Making
An LLM-based agent simulation on census-derived spatial populations finds income and education as dominant drivers of self-reporting rates for illness, with smaller effects from geography and message framing.
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Large Language Model based Multi-Agents: A Survey of Progress and Challenges
The paper surveys LLM-based multi-agent systems, covering simulated domains, agent profiling and communication, mechanisms for capacity growth, and common benchmarks.