{"slug": "building-socio-affective-artificial-intelligence-for-interactive-multi-agent", "title": "Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations", "summary": "Researchers published arXiv:2609.26927v1, a paper presenting design principles and a software architecture called AGIMUD for human interaction with multiple agents in simulated dynamic worlds. AGIMUD integrates socially-aware reasoning and emotion in agent behavior, a multimodal scheme for human users, artificial agents and simulated worlds, and distributed AI processing across a network to support multiple autonomous agents in real-time multi-user dungeon (MUD) environments. The code is available at https://github.com/dberga/AGIMUD.", "body_md": "arXiv:2609.26927v1 Announce Type: new \nAbstract: 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.", "url": "https://wpnews.pro/news/building-socio-affective-artificial-intelligence-for-interactive-multi-agent", "canonical_source": "https://arxiv.org/abs/2609.26927", "published_at": "2026-09-24 04:00:00+00:00", "updated_at": "2026-09-24 04:29:50.732291+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "ai-research", "large-language-models"], "entities": ["AGIMUD", "arXiv", "dberga", "GitHub"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/building-socio-affective-artificial-intelligence-for-interactive-multi-agent", "markdown": "https://wpnews.pro/news/building-socio-affective-artificial-intelligence-for-interactive-multi-agent.md", "text": "https://wpnews.pro/news/building-socio-affective-artificial-intelligence-for-interactive-multi-agent.txt", "jsonld": "https://wpnews.pro/news/building-socio-affective-artificial-intelligence-for-interactive-multi-agent.jsonld"}}