Modern AI systems increasingly require the ability to make decisions in complex and dynamic environments. One promising approach is to create an agentic AI system that combines:
- Deductive Reasoning: Rule-based logic that guarantees conclusions when premises hold true.
- Inductive Reasoning: Data-driven inference that generalizes from specific cases to handle uncertainty.
By integrating these two methods, often referred to as neuro-symbolic AI, an agent can provide transparent, explainable decisions while also adapting to new data. This tutorial explains the concepts behind this approach and shows you how to build an edge-deployable ReAct agent using Deno.