[Submitted on 22 Sep 2026]
Title:Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations
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Abstract: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 this https URL.
Comments: 37 pages, 27 figures, 42 tables
Subjects:
Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Computer Science and Game Theory (cs.GT); Human-Computer Interaction (cs.HC); Multiagent Systems (cs.MA)
ACM classes: I.2.11; I.2.7; H.5.1; J.4; C.2.4; F.2.0; G.2.2
Cite as: arXiv:2609.26927 [cs.AI]
(or arXiv:2609.26927v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2609.26927
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: David Berga [view email] [v1] Tue, 22 Sep 2026 18:21:08 UTC (5,821 KB)
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