Computational experiments have emerged as a valuable method for studying complex
systems, involving the algorithmization of counterfactuals. However, accurately representing …

Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Large Language Models (LLMs) have achieved remarkable success across a wide array of
tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used …

Due to the powerful capabilities demonstrated by large language model (LLM), there has
been a recent surge in efforts to integrate them with AI agents to enhance their performance …

Recent advances on large language models (LLMs) enable researchers and developers to
build autonomous language agents that can automatically solve various tasks and interact …

Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

Recent large language models (LLMs) have demonstrated great potential toward intelligent
agents and next-gen automation, but there currently lacks a systematic benchmark for …

Recent advancements in large language models (LLMs) have revealed their potential for
achieving autonomous agents possessing human-level intelligence. However, existing …

Agent-based modeling and simulation has evolved as a powerful tool for modeling complex
systems, offering insights into emergent behaviors and interactions among diverse agents …