Exploring the Design and Dynamics of AI Agents

Author(s): Veritas AI

Originally published on Towards AI.

AI (Artificial Intelligence) agents are self-sufficient systems programmed to take in information from the environment, make decisions, and take actions to achieve specific objectives. They represent a fundamental part of modern AI systems and provide many applications, such as virtual assistants and autonomous vehicles.

The progression of AI agents has moved rapidly from theoretical constructs to essential building blocks of multiple applications. This article describes AI agents in detail, reviewing their design and actions, as well as collaboration or interaction within the context of digital environments.

We address AI agents classifications, decision-making frameworks, and uses of AI agents in populations such as health care, finance, and autonomous systems of many forms.

AI agents, whether in software or hardware, act and make decisions autonomously in an environment to achieve predetermined goals. AI agents navigate their world while exercising perception, reasoning, learning, and acting — introducing them in many artificial intelligent applications. The notion of “AI agent” has been adapted from the artificial intelligence field, along with a substantial evolution in a more computational world with more advanced machine learning and robotics. This work includes a very brief overview of concepts of AI agents, design, and their uses in the world.

AI agents are… Read the full blog for free on Medium.

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Published via Towards AI