The Role of Intelligent Agents in Artificial Intelligence

Intelligent agents play a crucial role in the field of artificial intelligence, as they are designed to perceive their environment and take actions to achieve specific goals or preferences.

Software agents, such as chatbots and human-robot interaction environments, exhibit human-like qualities and can interact with people in various ways.

Artificial General Intelligence (AGI) aims to create AI systems that outperform skilled adults in a wide range of tasks, with some models already showing promising results.

Agent-Based Models for Simulation

Agent-based models (ABMs) are computational models used to simulate the actions and interactions of autonomous agents, providing insights into system behavior and outcomes.

Agentic AI focuses on autonomous systems that can make decisions and perform tasks with limited human intervention, showcasing the advancements in AI technology.

Evolution of Intelligent Multi-Agent Systems

Data agents powered by Large Language Models (LLMs) are revolutionizing the AI landscape, enabling intelligent agent systems to plan, execute, adapt, and solve complex problems autonomously.

Agent-oriented programming, introduced by Yoav Shoham in 1990, centers software around the concept of an agent, paving the way for innovative AI solutions.