Summary
In this chapter, we explored the intriguing world of agentic systems and intelligent agents, delving into the core concepts of agency, autonomy, and the characteristics that define an ideal agent. We studied various architectural patterns for designing and implementing such systems, including deliberative, reactive, and hybrid approaches. Additionally, we examined MASs, where multiple agents collaborate and coordinate to achieve collective goals through mechanisms such as cooperation, coordination, and negotiation.
The knowledge gained from this chapter provides a solid foundation for developing intelligent and autonomous systems capable of operating effectively in complex, unpredictable environments. You should now be able to decide which agentic system architecture best suits any particular use case, and be able to craft a mental model of a MAS that gives you the foundation of your agentic system. In the next chapter, we will dive deeper into the essentials of an agentic...
