A blueprint for autonomous brokers in an Agentic Mesh ecosystem
11 hours in the past
Current large funding by tech giants virtually assure that an ecosystem of autonomous brokers will quickly be upon us. However what’s an “autonomous agent”?
Sebastian Thielke, Platform Economics Lead at AWS, describes it like this (paraphrasing): “An autonomous agent reacts to environmental stimuli, is proactive in pursuit of a objective(s), has social interplay capabilities, and might repeatedly study and enhance”. Wikipedia provides the same definition: “autonomous brokers are computational techniques that inhabit some complicated dynamic surroundings, sense and act autonomously on this surroundings, and by doing so understand a set of objectives or duties for which they’re designed.” And in a earlier article, I supplied the next definition which I feel captures each: autonomous brokers use agentic AI (subtle reasoning and iterative planning) to independently plan and execute duties.
With that out of the best way, I wish to get to the first focus of this text: What does an autonomous agent (hereinafter referred to as an “agent”) structure appear like, and what are its main elements? What capabilities have to be in place to create a “sensible” agent that may plan and execute duties? And since no agent stands alone however quite works in an ecosystem of…
