Four Main Types of AI
Based on the functionality of AI can be divided into the four types.
- Reactive Machines: These AI systems operate solely based on pre-defined rules and algorithms without the ability to form memories or learn from past experiences. They respond to specific inputs with fixed outputs.
- Limited Memory: Unlike reactive machines, these AI systems can store and learn from the past data to make informed decisions. However, their memory is limited, and they cannot form long-term memories.
- Theory of Mind: This hypothetical type of AI would have the ability to understand and predict the behavior of other agents by attributing mental states to them, such as beliefs, desires, and intentions.
- Self-Awareness: The highest level of AI, self-aware systems possess consciousness and the ability to understand their own existence. This concept remains largely speculative and is not yet achieved.
How does AI work?
Artificial Intelligence is a complex area of study with the number of technologies and methods combines in its structure making it rather vast field. What all of us should know about AI is its use of machine learning, deep learning, and neural networks cutting across. An AI systems generally apply a systematic approach that include data collection, preprocessing, model selection, training, evaluation, deployment, and iteration in order to ensure successful development and deployment. However, with this rapid progress of AI, how its workings are understood will become a highly significant matter for both individuals and organizations alike.