Llm-based agent society investigation: Collaboration and confrontation in avalon gameplay
This paper aims to investigate the open research problem of uncovering the social
behaviors of LLM-based agents. To achieve this goal, we adopt Avalon, a representative …
behaviors of LLM-based agents. To achieve this goal, we adopt Avalon, a representative …
The landscape of emerging ai agent architectures for reasoning, planning, and tool calling: A survey
T Masterman, S Besen, M Sawtell, A Chao - arXiv preprint arXiv …, 2024 - arxiv.org
This survey paper examines the recent advancements in AI agent implementations, with a
focus on their ability to achieve complex goals that require enhanced reasoning, planning …
focus on their ability to achieve complex goals that require enhanced reasoning, planning …
Large language model for participatory urban planning
Participatory urban planning is the mainstream of modern urban planning that involves the
active engagement of residents. However, the traditional participatory paradigm requires …
active engagement of residents. However, the traditional participatory paradigm requires …
Tell me more! towards implicit user intention understanding of language model driven agents
Current language model-driven agents often lack mechanisms for effective user
participation, which is crucial given the vagueness commonly found in user instructions …
participation, which is crucial given the vagueness commonly found in user instructions …
Computational experiments meet large language model based agents: A survey and perspective
Q Ma, X Xue, D Zhou, X Yu, D Liu, X Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Computational experiments have emerged as a valuable method for studying complex
systems, involving the algorithmization of counterfactuals. However, accurately representing …
systems, involving the algorithmization of counterfactuals. However, accurately representing …
Self-alignment of large language models via monopolylogue-based social scene simulation
Aligning large language models (LLMs) with human values is imperative to mitigate
potential adverse effects resulting from their misuse. Drawing from the sociological insight …
potential adverse effects resulting from their misuse. Drawing from the sociological insight …
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
The rapid advancement of large language models (LLMs) has paved the way for the
development of highly capable autonomous agents. However, existing multi-agent …
development of highly capable autonomous agents. However, existing multi-agent …
Investigate-consolidate-exploit: A general strategy for inter-task agent self-evolution
This paper introduces Investigate-Consolidate-Exploit (ICE), a novel strategy for enhancing
the adaptability and flexibility of AI agents through inter-task self-evolution. Unlike existing …
the adaptability and flexibility of AI agents through inter-task self-evolution. Unlike existing …
Emergence of Social Norms in Large Language Model-based Agent Societies
The emergence of social norms has attracted much interest in a wide array of disciplines,
ranging from social science and cognitive science to artificial intelligence. In this paper, we …
ranging from social science and cognitive science to artificial intelligence. In this paper, we …
Exploring the Potential of Large Language Models in Self-adaptive Systems
Large Language Models (LLMs), with their abilities in knowledge acquisition and reasoning,
can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the …
can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the …