Source note3 min read
CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
Source
arXiv
arxiv.org/abs/2608.09848v1
Source
- Source name: arXiv
- Source kind: paper
- Authors / organization: Aimilios Hadjiliasi, Louis Nisiotis
- Venue: arXiv: cs.AI
- Published: 2026-08-10
- Collected: 2026-08-11
- URL: http://arxiv.org/abs/2608.09848v1
- PDF: https://arxiv.org/pdf/2608.09848v1
- DOI: UNKNOWN
- Registry group: academic_apis_and_preprints
- Evidence role: canonical_academic_index
- Language: en
- Country / region: UNKNOWN
Plain-Language Brief
The paper proposes a modular cognitive architecture for developing intelligent virtual agents (IVAs) that can function effectively in real-time interactive virtual environments. The proposed architecture aims to bridge the gap between high-level agent reasoning models and real-time embodied execution, providing a template for deploying IVA 'brains' in 3D computing systems.
What the Document Says
- The paper addresses the challenge of developing cognitive embodied Intelligent Virtual Agents (IVAs) in real-time interactive virtual environments.
- Existing architectures are either focused on low-level reactive control systems or high-level reasoning models, with difficulties in implementing them in virtual worlds.
- The proposed architecture is modular and based on existing frameworks like the Sense-Think-Act paradigm and the Belief-Desire-Intention cognitive model.
- The goal is to provide a reusable implementation-oriented framework for deploying IVA 'brains' in 3D computing systems.
- The architecture aims to bridge the gap between high-level agent reasoning models and real-time embodied execution.
- The result should be scalable, adaptive, and explainable agents in complex interactive virtual environments.
Key Concepts Mentioned
- Intelligent Virtual Agents (IVAs)
- cognitive architecture
- modular framework
- Sense-Think-Act paradigm
- Belief-Desire-Intention cognitive model
Claims Made by the Document
- The development of IVAs in real-time interactive virtual environments remains a challenge.
- Existing architectures have limitations in implementing high-level reasoning models in virtual worlds.
Evidence Used
- Text states the current challenges and limitations in the development of IVAs.
Methods / Approach
- Proposing a modular cognitive architecture for deploying embodied, cognitive-capable IVAs
Limitations Stated by the Authors
- The paper does not provide details on how the proposed architecture will address the mentioned challenges.
- No information is given about the testing or implementation of the proposed architecture.
Limitations Noted by the Agent
Agent interpretation — not from the source.
- The text lacks information about the specific technical aspects of the proposed architecture.
- There is no context provided on the current state of IVA development and the role of this paper in advancing it.
Open Questions
- How will the proposed architecture address the challenges in implementing high-level reasoning models in virtual worlds?
- What specific technical details does the proposed architecture entail?
Notes for Future Q&A
May include interpretation. Labeled where it does.
- Ask about the technical aspects of the proposed architecture and how it aims to overcome the existing challenges.
- Inquire about any testing or implementation of the proposed architecture.
Raw Abstract / Excerpt
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.
