#OFN Types of Intelligent Agents in #OFN

Reactive Agents: Respond directly to environmental stimuli without maintaining any internal state.

Model-Based Agents: Use internal models of the world to maintain a sense of history and predict future states.

Goal-Based Agents: Take actions to achieve specific objectives, utilizing search and planning algorithms.

Learning Agents: Continuously improve their behavior using machine learning, including reinforcement learning.

Collaborative Agents: Interact with other agents to solve complex problems by sharing knowledge and processing power.