CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
2026-08-10 • Artificial Intelligence
Artificial Intelligence
AI summaryⓘ
The authors address the difficulty of creating virtual agents that think and act in real-time within virtual worlds. They note current systems either focus on simple reaction-based controls or complex thinking models that are hard to implement practically. To fix this, they propose a modular architecture combining well-known thinking frameworks to help build smarter virtual agents that work smoothly and adaptively in 3D environments. Their design aims to make it easier to develop and understand these agents by linking high-level reasoning with real-time actions.
Intelligent Virtual AgentsEmbodied AgentsSense-Think-Act ParadigmBelief-Desire-Intention ModelCognitive ArchitectureReal-time Interaction3D Virtual EnvironmentsAgent ReasoningModular FrameworkInteractive Systems
Authors
Aimilios Hadjiliasi, Louis Nisiotis
Abstract
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.