Latest large 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 objective(s), has social interplay capabilities, and may constantly study and enhance”. Wikipedia gives an identical definition: “autonomous brokers are computational programs that inhabit some advanced dynamic setting, sense and act autonomously on this setting, and by doing so notice a set of targets or duties for which they’re designed.” And in a earlier article, I supplied the next definition which I feel captures each earlier definitions: autonomous brokers use agentic AI (refined reasoning and iterative planning) to independently plan and execute duties.
With that out of the way in which, 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 parts? What capabilities should be in place to create a “sensible” agent that may plan and execute duties? And since no agent stands alone however fairly works…