A Two-Dimensional Framework for AI Agent Design Patterns: Cognitive Function and Execution Topology
📰 ArXiv cs.AI
Learn a 2D framework for designing AI agents with cognitive function and execution topology, enabling more nuanced architecture design
Action Steps
- Identify the cognitive function of your AI agent using the framework's cognitive axis
- Determine the execution topology of your AI agent using the framework's execution axis
- Apply the 2D framework to design architecturally distinct AI agent systems
- Compare different AI agent architectures using the framework's two dimensions
- Use the framework to inform the development of LLM-based agents with diverse applications
Who Needs to Know This
AI engineers and researchers designing LLM-based agents will benefit from this framework to create more effective and efficient architectures, while product managers can use it to inform strategic decisions on AI system development
Key Insight
💡 A 2D framework combining cognitive function and execution topology enables more nuanced design of AI agent architectures
Share This
🤖 Design better AI agents with a 2D framework! 📈
DeepCamp AI