Socialgrid Embodied Multi Agent

---
name: socialgrid-embodied-multi-agent
description: 'Research paper: SocialGrid - A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems. Among Us-inspired environment for social reasoning evaluation.'
metadata:
  openclaw:
    emoji: "🎮"
    tags: ["research", "arxiv", "multi-agent", "social-reasoning", "embodied", "benchmark", "planning"]
---

# SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems

**arXiv ID:** 2604.16168  
**Published:** 2026-04-18  
**Authors:** Hikaru Shindo, Hanzhao Lin, Lukas Helff  
**Categories:** cs.AI, cs.LG, cs.MA  
**Utility Score:** 0.99

## Abstract

As Large Language Models (LLMs) transition from text processors to autonomous agents, evaluating their social reasoning in embodied multi-agent settings becomes critical. We introduce SocialGrid, an embodied multi-agent environment inspired by Among Us that requires agents to perform complex social reasoning.

## Key Contributions

1. **Social Reasoning Benchmark**: First benchmark for social reasoning in embodied multi-agent systems
2. **Among Us Environment**: Game-inspired setting requiring deception detection and trust evaluation
3. **Embodied Multi-Agent**: Combines physical embodiment with social interaction

## Relevance to AI Agent Systems

- **Multi-Agent Systems**: Social dynamics in multi-agent environments
- **LLM Agents**: Evaluating LLMs as social agents
- **Reasoning**: Social and strategic reasoning capabilities
- **Planning**: Long-horizon planning in social contexts

## Technical Keywords

multi-agent, llm agent, reasoning, planning, benchmark, evaluation, autonomous

## URL

http://arxiv.org/abs/2604.16168

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**Tracked:** 2026-04-20  
**Source:** arXiv Paper Tracker