π€ AI Summary
Current intelligent virtual agents struggle to simultaneously support high-level cognitive reasoning and real-time embodied execution, limiting their deployment in interactive virtual environments. This work proposes a modular cognitive architecture that, for the first time, deeply integrates the Belief-Desire-Intention (BDI) model with the Sense-Think-Act paradigm to create a scalable, adaptive, and interpretable βbrainβ template. Through a modular design, the architecture unifies cognitive reasoning and behavioral control within a general-purpose 3D interaction platform, enabling the realization of cognitively embodied agents capable of real-time responsiveness, autonomous decision-making, and behavior explanation. The approach effectively bridges the gap between theoretical models and practical deployment, demonstrating both feasibility and broad applicability.
π 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.