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36:30 Case Study: Drawing a CFD for a Meeting Scheduler Agent
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Classroom Contents
Systems Thinking and Complexity Theory for AI Architects
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- 1 0:00 The Urgent Problem: Complexity & The Tragedy of the Commons
- 2 1:25 Case Study: Unintended Consequences of Social Media
- 3 4:50 Causal Flow Diagrams CFD Explained
- 4 5:40 New AI Risks: Frontier Models & Fake Alignment
- 5 9:15 Automated Agents: CFD on Workload, Objectivity & Misconduct
- 6 15:00 Mapping AI Use Cases: Algorithm Aversion vs. Algorithmic Appreciation
- 7 18:50 Defining an Agent & How It Differs from Microservices
- 8 23:00 Multi-Agent Design Patterns RAG, Chain of Thought, Reflection
- 9 27:15 Agent Topologies: Orchestration vs. Decentralization Tradeoffs
- 10 30:00 The Cynefin Framework: Taming Complicated vs. Wicked Complex Problems
- 11 32:05 The Iceberg Metaphor: Events, Patterns, Structures, & Mental Models
- 12 36:30 Case Study: Drawing a CFD for a Meeting Scheduler Agent
- 13 40:55 Practical Tools for Behavioral Observation & Explainability LIME, SHAP
- 14 43:30 Architectural Boundaries: Human-in-the-Loop & Governance Agents
- 15 47:45 Q&A: The Ethics of Influencing Behavior vs. Solving Problems
