I keep seeing references to 'four types of agentic AI' in some white papers, but nobody seems to agree on what those types actually are. Some sources talk about reactive vs. proactive, while others talk about single-task vs. swarm intelligence.
Can someone clarify if there is a formal taxonomy for agentic systems? It makes it hard to compare tools when there isn't a shared vocabulary in the community. I would love to know how these different types map to real-world deployment needs.
Agentic AI lacks a formal, universally accepted taxonomy, leading to varied definitions that often reflect vendor-specific marketing rather than standardized architectural or functional classifications.
2 answers
There is no industry-standard taxonomy for agentic AI because the field is currently suffering from a severe case of marketing-led terminology inflation. You are seeing different frameworks because vendors are mapping these tools to their own specific product capabilities rather than any rigorous architectural or functional definition.
My advice is to stop hunting for a universal four-part taxonomy and start looking at the system's operational scope, such as whether it handles deterministic workflows or non-deterministic reasoning loops. If you want to compare tools, map them to your specific integration requirements rather than abstract labels.
Stop chasing a holy grail of taxonomies because in my experience, vendors just reinvent the wheel to make their specific tool sound like the next evolution. I remember back during the early RPA boom, everyone had a different name for attended versus unattended automation, and it caused total chaos in the procurement phase.
You see these varying classifications like reactive vs proactive or swarm intelligence because they are trying to solve different integration headaches. If you focus on whether the agent is autonomous or supervised, you will cut through the noise and get to the only question that matters for your ROI.
I apologize if I am overthinking this, Carolyn Lewis, but your point about autonomous versus supervised agents is very helpful. I was getting lost in the definitions, and I appreciate the clarity here.
Carolyn Lewis, that perspective on the RPA boom really resonates with my recent projects. I have been struggling to categorize these tools, but focusing on the supervision level makes much more sense now.