Here are 6 Types of Artificial Intelligence Environments.
When designing artificial intelligence(AI) solutions, we spend a lot of time focusing on aspects such as the nature of learning algorithms [ex: supervised, unsupervised, semi-supervised] or the characteristics of the data [ex: classified, unclassified…]. However, little attention is often provided to the nature of the environment on which the AI solution operates. As it turns out, the characteristics of the environment are one of the absolutely key elements to determine the right models for an AI solution.
- Complete vs. Incomplete
- Fully Observable vs. Partially Observable
- Competitive vs. Collaborative
- Static vs. Dynamic
- Discrete vs. Continuous
- Deterministic vs. Stochastic