Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations

The article presents design principles and a software architecture, AGIMUD, for enabling interaction between humans and multiple agents in dynamic simulated worlds. It integrates socially-aware reasoning, emotional agent behavior, a multimodal human interface, and distributed AI processing to support real‑time, multi‑user dungeon (MUD) environments. The work builds on current AI/AGI and transformer‑based conversational agents to create sustainable, governance‑aware human‑agent reasoning systems.

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• llms
• agents
• multimodal