Summary
A new arXiv paper (2609.26927) by David Berga, published September 25, 2026, presents design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynamic worlds. The work, titled AGIMUD, connects the era of general AI/AGI, the proliferation of transformer-based conversational agents, and growing computational capabilities. Building on an overview of current and prior multi-agent theories of mind (socially and affectively aware agents), the author argues that integrative design of agent-to-agent and human-agent interaction is crucial for sustainability and governance in future human-agent reasoning systems. AGIMUD integrates three components: (A) socially aware reasoning and emotion in agent behavior and interactions; (B) multimodal human-computer interaction design spanning human users, AI agents, and the simulated world; and (C) network-distributed AI processing supporting multiple autonomous agents. Together these allow a dynamic world to be recreated as a multi-user dungeon (MUD), where agents and humans can interact simultaneously in real time. Source code is available via a URL in the paper.
Paper Overview
- Field: Machine Learning (ML)
- Author: David Berga
- Published: 2026-09-25
- arXiv: 2609.26927
Summary
The paper provides design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynamic worlds. It connects the current era of general artificial intelligence (AI/AGI), the proliferation of transformer-based conversational agents, and increased computational capabilities.
Given an overview of current and previous multi-agent theories of mind (socially and affectively aware agents), the author argues that an integrative design of agent interactions — with each other and with humans — is crucial for understanding how to create sustainability and governance in future human-agent reasoning systems.
AGIMUD Software
The proposed software, "AGIMUD", integrates three elements:
1. A. Socially aware reasoning and emotion in agent behavior and interactions.
2. B. Multimodal human-computer interaction design for human users, AI agents, and the simulated world.
3. C. Network-distributed AI processing to support multiple autonomous agents.
These integrations enable a dynamic world to be recreated as a multi-user dungeon (MUD), where agents and humans can interact simultaneously in real time.
Source code is available via a URL provided in the paper.
---
*Auto-collected on 2026-09-25*
This page is an English static mirror generated for search and AI citation.
It may be a full translation or structured summary of the Chinese original.
Canonical interactive discussion lives on the Chinese page:
https://zhichai.net/topic/178635173