Agentic data science with the Data Agent Kit
cloud.google.com·8h ago
AI Research
arXiv CS.AI·Aug 11·5 min read
CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
TL;DR
A new modular cognitive architecture for Intelligent Virtual Agents (IVAs) is proposed, bridging the gap between high-level reasoning and real-time execution in interactive 3D environments. This framework aims to enhance the deployment of cognitive-capable IVAs, making them more scalable and adaptive.
✦ Why It Matters
Consider adopting this modular architecture to enhance your IVAs' cognitive capabilities in interactive environments.
Key Takeaways
- Explore the modular architecture for developing IVAs.
- Utilize the Sense-Think-Act framework for agent design.
- Implement cognitive models for improved agent reasoning.
- Focus on real-time execution for interactive applications.
How It Works
The proposed architecture integrates existing cognitive frameworks to create a modular system that allows for the seamless deployment of IVAs. By combining high-level reasoning models with real-time execution capabilities, it enables agents to respond dynamically to their environments while maintaining cognitive depth.