Glossary
Intrinsic Motivation
Motivation driven by the information content or inherent interest of the task, rather than external rewards.
Definition
Intrinsic motivation in the context of artificial intelligence refers to the drive of an intelligent agent to perform actions based on the inherent satisfaction or informational content of the experience, rather than for external rewards or outcomes. This concept is inspired by human and animal psychology, where behaviors are often driven by internal desires such as curiosity, learning, and exploration, rather than external incentives like money or food.
In AI, intrinsic motivation is used to design agents that can explore and learn from their environment autonomously, improving their performance and adaptability by seeking out novel stimuli or challenges. This approach is particularly useful in complex or dynamic environments where predefined rewards may not effectively capture all valuable learning opportunities.
Examples / Use Cases
An example of intrinsic motivation in AI is an agent designed to play and explore video games without specific goals provided by human designers. Such an agent might be programmed to seek novel experiences within the game, such as exploring unvisited areas or experimenting with new game mechanics, driven by a built-in reward system that values information gain or novelty.
This can lead to the discovery of innovative strategies or solutions that were not explicitly programmed or anticipated by the developers. Another application is in robotic systems designed for autonomous exploration, such as Mars rovers, where the robot is programmed to investigate features of the environment that differ from previously encountered ones, thereby maximizing the scientific value of its mission by focusing on the most informative observations.