👉 Episode computing is an approach to artificial intelligence that focuses on creating intelligent systems by breaking down complex tasks into smaller, sequential episodes or steps. Each episode represents a distinct phase in the problem-solving process, where an AI agent learns and refines its behavior through interaction with an environment. These episodes are designed to be manageable, allowing the AI to focus on mastering specific skills or tasks before moving on to more complex ones. By structuring learning in this way, episode computing enables the development of systems that can handle intricate and dynamic tasks, such as natural language understanding, robotics, or game-playing, by gradually building up expertise through iterative learning and feedback. This modular approach facilitates the transfer of knowledge across different episodes, enhancing the overall adaptability and efficiency of AI solutions.
