AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making

• URL: http://arxiv.org/abs/2411.03865v1
• Date: Wed, 06 Nov 2024 12:19:01 GMT
• Title: AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
• Authors: Yizhe Huang, Xingbo Wang, Hao Liu, Fanqi Kong, Aoyang Qin, Min Tang, Xiaoxi Wang, Song-Chun Zhu, Mingjie Bi, Siyuan Qi, Xue Feng,
• Abstract summary: We introduce AdaSociety, a customizable multi-agent environment featuring expanding state and action spaces. As agents progress, the environment adaptively generates new tasks with social structures for agents to undertake. AdaSociety serves as a valuable research platform for exploring intelligence in diverse physical and social settings.
• Score: 45.179910497107606
• License:
• Abstract: Traditional interactive environments limit agents' intelligence growth with fixed tasks. Recently, single-agent environments address this by generating new tasks based on agent actions, enhancing task diversity. We consider the decision-making problem in multi-agent settings, where tasks are further influenced by social connections, affecting rewards and information access. However, existing multi-agent environments lack a combination of adaptive physical surroundings and social connections, hindering the learning of intelligent behaviors. To address this, we introduce AdaSociety, a customizable multi-agent environment featuring expanding state and action spaces, alongside explicit and alterable social structures. As agents progress, the environment adaptively generates new tasks with social structures for agents to undertake. In AdaSociety, we develop three mini-games showcasing distinct social structures and tasks. Initial results demonstrate that specific social structures can promote both individual and collective benefits, though current reinforcement learning and LLM-based algorithms show limited effectiveness in leveraging social structures to enhance performance. Overall, AdaSociety serves as a valuable research platform for exploring intelligence in diverse physical and social settings. The code is available at https://github.com/bigai-ai/AdaSociety.

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