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

构建用于交互式多智能体模拟的社会情感人工智能

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.

摘要： 本文旨在提供一套设计原则和软件架构，以实现人类与模拟动态世界中多个智能体之间的交互。这连接了当前通用人工智能（AI/AGI）时代与基于 Transformer 的对话智能体的普及，以及日益增强的计算能力。

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.

在概述了当前及以往的多智能体心智理论（具备社会和情感意识的智能体）之后，我们认为，建立一种智能体之间以及智能体与人类之间交互的集成设计，对于理解如何在未来的人机推理系统中实现可持续性和治理至关重要。

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.

本文介绍了一款名为“AGIMUD”的软件，它集成了以下功能：A. 在智能体行为和交互中融入社会意识推理与情感；B. 为人类用户、人工智能体和模拟世界设计多模态方案；C. 通过网络分发 AI 处理任务，以支持多个自主智能体。

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.

这些集成使得动态世界能够以多用户地下城（MUD）的形式进行重现，从而使智能体和人类能够实时同步交互。代码可在该链接中获取。