mlsanityData to 7 Oct 2026

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

arXiv 2609.26927 ↗First posted 22 Sep 2026cs.AI cs.CY cs.GTcited by 0

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Abstract (arXiv)

The objective of this article is to provide design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynamic worlds. This connects the current era of general artificial intelligence (AI/AGI) with the proliferation of transformer-based conversational agents and the increased computational capabilities. Given an overview of current and previous multi-agent theories of mind (socially and affectively-aware agents), the existence of an integrative design of agent interactions with themselves and with humans must be crucial for understanding how to create sustainable and governance in future human-agent reasoning systems. In this work is presented a software "AGIMUD" that integrates: A. socially-aware reasoning and emotion in agent behavior and interaction, B. a design of human multimodal scheme for human users, artificial agents and simulated worlds, and C. distributing the AI processing through the network to enable multiple autonomous agents. These integrations allow the dynamic world recreation as multi-user dungeons (MUDs) where both agents and humans can interact simultaneously in real time. Find the code online in https://github.com/dberga/AGIMUD.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 52 of its 169 references that are in the map. First posted on arXiv 22 Sep 2026.

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References · 52

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