Enabling Tool Use and Planning in Agents
In the previous chapter, we looked into the intricate concepts of reflection and introspection in intelligent agents. These capabilities empower agents to reason about their own cognitive processes, learn from experiences, and dynamically modify their behaviors.
A significant step forward in AI agents comes from combining how agents plan and use tools. This chapter looks at how tools work, different planning algorithms, how they fit together, and real examples showing how useful they are in practice. We will explore the concept of tool use by intelligent agents that extend their capabilities beyond decision-making and problem-solving. We will look at different types of tools that agents can utilize, such as APIs, databases, and software functions. We will then delve into planning algorithms essential for agents, including state-space search, reinforcement learning, and hierarchical task network planning. We will discuss integrating tool use...
