Re: matching AI agents to protocols

It would be helpful if you provided further information as it isn’t very clear right now.

For instance, an agent that uses facts and rules wouldn’t use MCP which is a protocol for agents implemented with generative AI.  My current work on extending chunks & rules to swarms of agents uses chunks as the medium of communication, hiding the underlying protocols.  Chunks & rules isn’t logic based.

I suspect you are focusing on generative AI based agents, where the agent exploits pre-training and reinforcement learning with human feedback to determine its behaviour.

There is a lot more work needed to advance beyond generative AI. I have sketched out some ideas in my slides on sentient AI, e.g. continual learning based upon continual prediction, episodic memory and the role of type 2 cognition during learning.  This will have a big impact on agents.

> On 30 Jun 2025, at 05:32, Paola Di Maio <paola.dimaio@gmail.com> wrote:
> 
> Dave, and everyone
> 
> several years ago, when the AI KR CG and this CG were started
> Dave hinted in a post that AI would be largely agent based. 
> 
> I recalled  that prediction as I started to work on AI agents, from a KR point of view (categorization of AI agents, ontology driver agent modelling etc) and to develop categories of protocols 
> 
> In trying to create logical to ontological schemas to help us capture what is going on, I would welcome CogAI input/evaluation
> on the following table:
> 
> 
> <image.png>
> 

Dave Raggett <dsr@w3.org>