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AI Agents with LangChain & Autonomous Workflows · Lesson

Cognitive Architectures for Agents

Delve into established cognitive architectures (e.g., SOAR, ACT-R) that model human-like reasoning and learning processes in AI agents.

Intro to Cognitive Agents

Welcome! Today, we'll explore Cognitive Architectures. These aren't just simple programs; they're frameworks designed to mimic human-like reasoning, learning, and decision-making in AI agents.

They bridge the gap between reactive agents and truly intelligent systems capable of complex problem-solving.

Why Cognitive Architectures?

Simple agents react to immediate percepts. But what if an agent needs to plan, learn from mistakes, or understand complex situations?

  • Human-like Intelligence: Model how humans think.
  • General Problem Solving: Tackle diverse tasks, not just one.
  • Learning & Adaptation: Improve performance over time.
  • Robustness: Handle unexpected situations.

All lessons in this course

  1. ReAct and Plan-and-Execute Agents
  2. Hierarchical Agent Designs
  3. Self-Correction & Reflection Agents
  4. Cognitive Architectures for Agents
  5. Multi-Agent Collaboration Patterns
  6. Hybrid Agent Systems
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