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Chapter 18: Autonomous Agents

Learning Objectives​

By the end of this chapter, you will:

  • Understand autonomous agent architectures
  • Learn about behavior trees
  • Understand decision-making systems
  • Learn about multi-agent systems

Introduction​

Autonomous agents integrate all the concepts learned so far into systems that can make complex decisions independently.

Placeholder Content​

Topics to be covered:

  • Agent architectures (reactive, deliberative, hybrid)
  • Behavior trees
  • Planning and scheduling
  • Multi-agent coordination

Did You Know?​

Interesting autonomous systems fact.

Real-World Examples​

  1. Self-Driving Cars - Complex autonomous agents
  2. Warehouse Robots - Multi-robot coordination
  3. Space Rovers - Long-term autonomous operation

Key Takeaways​

  • To be added

Try It!​

Behavior tree simulation.

Exercises​

  1. Question
  2. Question
  3. Question

Further Reading​

  • Module 5: Real-World Applications & Ethics
  • Chapter 17: Reinforcement Learning

Next Module: Module 5: Real-World Applications & Ethics