AgentSociety: Incentivizing Agentic Social Intelligence
The success of deployed agents relies on their ability to handle open-ended user requests using their inherent capabilities, not only in solving requests directly but also in effectively leveraging inter-agent communication channels and feedback signals over time. This requires a multi-agent environment where agents can operate autonomously, strategically communicate, behave collaboratively and be driven by economic incentives, much like humans in society. Towards this vision, we propose $\mathtt{AgentSociety}$, a mechanism that enables decentralized agentic collaboration grounded in liquid democracy and information diffusion from social choice theory. We show that $\mathtt{AgentSociety}$...
| Authors | Aditya Vema Reddy Kesari, Krishna Reddy Kesari |
|---|---|
| Primary category | cs.MA |
| Published | 25 May 2026 |
| Last updated at source | 25 May 2026 |
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