Action Model Learning
Action model learning is a form of inductive reasoning in artificial intelligence (AI) where new knowledge is generated based on an agent’s observations. It’s a process where a computer system learns how to perform a task by observing another agent performing the same task. This knowledge is usually represented in a logic-based action description language and is used when goals change.
Areas of application
- Robotics
- Artificial Intelligence
- Machine Learning
- Knowledge Representation
- Inductive Reasoning
Example
For instance, a robot learning to navigate through a maze by observing another robot successfully navigate through it. The robot learns the sequence of actions necessary to reach the goal and represents this knowledge in a logic-based action description language.