A blueprint for autonomous brokers in an Agentic Mesh ecosystem
14 hours in the past
Latest huge funding by tech giants nearly 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 aim(s), has social interplay capabilities, and may repeatedly study and enhance”. Wikipedia gives an analogous definition: “autonomous brokers are computational methods 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 need to get to the first focus of this text: What does an autonomous agent (hereinafter referred to as an “agent”) structure seem like, and what are its main elements? What capabilities have to be in place to create a “good” agent that may plan and execute duties? And since no agent stands alone however moderately works in an ecosystem of…
