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

Collective intelligence underpins the success of groups, organizations, markets and
societies. Through distributed cognition and coordination, collectives can achieve outcomes …

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 …

Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …

Significant advancements have occurred in the application of Large Language Models
(LLMs) for various tasks and social simulations. Despite this, their capacities to coordinate …

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

In an era where artificial intelligence is increasingly interfacing with diverse cultural contexts,
the ability of language models to accurately represent and adapt to these contexts is of …

Text-attributed graphs (TAGs) are prevalent on the web and research over TAGs such as
citation networks, e-commerce networks and social networks has attracted considerable …

Rationality is characterized by logical thinking and decision-making that align with evidence
and logical rules. This quality is essential for effective problem-solving, as it ensures that …

We discuss the emerging new opportunity for building feedback‐rich computational models
of social systems using generative artificial intelligence. Referred to as generative agent …