Behavioural modelling is the process of deriving actions that an intelligent agent should take given a set of environmental variables to reach a defined goal.
Behavioural modelling is used in various applications such as robotics, game playing, and autonomous driving. It helps in determining the optimal actions an agent should take to achieve its objectives.
The process involves training an agent using reinforcement learning, where the agent learns to make decisions by receiving rewards or penalties based on its actions. The agent learns to identify the best actions to take in different situations to maximize its cumulative reward.
For example, in a game-playing scenario, Behavioural Modelling might be used to train an agent to play chess by learning the best moves to make in different game states.
In a broad sense, behavioural modelling can be seen as a type of classification because the agent makes choices between sets of possible actions. However, it differs from traditional classification in that it aims to learn sequences of actions to reach a goal, and the range of possible actions may vary considerably based on the state of the environment.
Understanding and implementing behavioural modelling techniques is essential for developing intelligent agents that can make optimal decisions in complex environments.
- Related terms
- Reinforcement Learning Classification