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CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems

arXiv 2608.09848 ↗First posted 10 Aug 2026cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 47 references that are in the map. First posted on arXiv 10 Aug 2026.

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6 of 47 references.

References · 6

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  2. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 634
  3. 2020A Survey of Behavior Trees in Robotics and AIcited by 55
  4. 2022An Analysis and Comparison of ACT-R and Soarcited by 12
  5. 2018Hierarchical and State-based Architectures for Robot Behavior Planning and Controlcited by 1
  6. 2024A Comparative Assessment of Technology Acceptance and Learning Outcomes in Computer-based versus VR-based Pedagogical Agentscited by 1

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  8. 2026Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents