CEAA：一種應用於互動式計算系統的認知具身智能體架構

摘要

即便在今日科技進展下，於即時互動虛擬環境中開發具備認知能力的具身智能虛擬代理（IVA）仍是一項挑戰。現有的架構往往專注於實作受商業遊戲引擎限制的低層級反應式控制系統，或著重於難以在虛擬世界中實作的高層級推理模型表徵。本文基於此概念，提出一個用於部署具身 IVA 的模組化認知架構。此架構建立在既有且已確立的框架之上，例如感知－思考－行動（Sense-Think-Act）範式與信念－慾望－意圖（Belief-Desire-Intention）認知模型等，旨在提供一個可重用、以實作為導向的框架，作為在互動式 3D 運算系統中部署 IVA「大腦」的模板。所提出的架構貢獻在於提供一個模組化、以實作為導向的框架，用於部署具身且具認知能力的 IVA，並彌合高層級代理推理模型與即時具身執行之間的鴻溝，從而在複雜的互動虛擬環境中實現可擴展、自適應且可解釋的代理。

English

The development of embodied Intelligent Virtual Agents (IVAs) that have cognitive capabilities in real-time interactive virtual environments remains a challenge, even with today's advancements in technology. Existing architectures are often focused on either the implementation of low-level reactive control systems that are constrained by commercial game engines, or high-level representations of reasoning models that can be difficult to implement in virtual worlds. This paper builds on that notion and proposes a modular cognitive architecture for deploying embodied IVAs. This architecture builds on existing, pre-established frameworks such as the Sense-Think-Act paradigm and the Belief-Desire-Intention cognitive model, among others, and aims to provide a reusable implementation-oriented framework as a template for deploying IVA "brains" in interactive 3D computing systems. The proposed architecture contributes by providing a modular, implementation-oriented framework for the deployment of embodied, cognitive-capable IVAs and bridges the gap between high-level agent reasoning models with real-time embodied execution, for scalable, adaptive, and explainable agents in complex interactive virtual environments.