发表机构
University of Central Lancashire（中央兰开夏大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文探索利用SLMs与边缘计算支持CEAA的“思考”“记忆”组件，在NVIDIA Jetson Orin NX上用Qwen2.5模型开发边缘虚拟智能体网关，经模拟实验验证其可高效运行部分CEAA过程，助力沉浸式虚拟世界具身智能体开发。
AI 中文摘要
具身智能虚拟智能体有望在复杂虚拟世界与元宇宙中作为持久、自适应且感知上下文的实体运行，但在这类环境中实现具备认知能力的智能体面临概念与技术层面的双重挑战。在诸多设计方案与开发方法中，认知具身智能体架构（CEAA）已被开发为一种面向实现的框架，用于构建感知、记忆、推理、规划及具身动作等组件。鉴于边缘计算与生成式AI语言模型的近期进展，本文探索利用小型语言模型（SLMs）支持CEAA部分组件的边缘端运行，聚焦于作为虚拟智能体在交互式虚拟世界中认知协调与持久性核心过程的“思考”与“记忆”。本文开发了一种基于边缘的虚拟智能体网关系统，并在NVIDIA Jetson Orin NX平台上使用不同规模的Qwen2.5模型对其进行评估，探究该系统处理服务请求及处理记忆驱动对话的能力。一系列模拟实验评估了路由准确率、记忆读取性能与延迟，结果表明，由SLM驱动的原型智能体系统可部分实现选定的CEAA过程，以支持具身智能体的开发，这类智能体的认知“大脑”能在沉浸式虚拟世界的交互式体验中高效且结合上下文运行。
英文摘要
Embodied intelligent virtual agents are expected to operate as persistent, adaptive, and context-aware entities within complex virtual and Metaverse worlds. However, implementing cognitively capable agents in such environments is conceptually and technologically challenging. Among a range of blueprints and development approaches, the Cognitive Embodied Agent Architecture (CEAA) has been developed as an implementation-oriented framework for architecting components of perception, memory, reasoning, planning, and embodied action. Considering the recent advances in edge computing and generative AI language models, this paper explores the use of Small Language Models (SLMs) to support edge-based operation of selected CEAA components, focusing on "Think" and "Memory" as processes central to cognitive orchestration and persistence of virtual agents in interactive virtual worlds. An edge-based virtual agent gateway system was developed and evaluated on an NVIDIA Jetson Orin NX using Qwen2.5 models of different sizes, exploring the system's capability to process service requests and handle memory-driven conversations. A series of simulation experiments evaluated routing accuracy, memory-read performance, and latency, demonstrating an SLM-driven prototype agent system that partially implements selected CEAA processes to support the development of embodied agents whose cognitive "brain" can operate efficiently and contextually for interactive experiences in immersive virtual worlds.
