An in-depth exploration of the four main types of artificial intelligence

Using artificial intelligence (AI) to make progress on important issues such as the environment, education and healthcare opens up new possibilities. Under certain circumstances, artificial intelligence can perform tasks more efficiently or systematically than humans.

For robots, the importance of education is somewhat insufficient. There are four main types of differences we need to eliminate between humans, robots and artificial intelligence. These differences include self-awareness, theory of mind, response mechanisms, and short-term memory

1, Reactive AI

Rewritten content: A reactive AI system is a memoryless, A task-oriented system that always responds to the same input in the same way. Most machine learning models are passive, providing personalized recommendations based on inputs such as a consumer’s search or purchase history. Reactive AI is often shown to be reliable and efficient in technologies such as self-driving cars

To accurately predict what is about to happen, we must provide accurate facts. However, humans have the ability to remember and learn, so most of their actions are not out of revenge

2. Limited memory artificial intelligence

Limited memory artificial intelligence is the next step in the development of artificial intelligence stage. The algorithm learns as it receives more training data because it mimics the way neurons in the human brain work together. Deep learning augments other forms of reinforcement learning and image recognition

Unlike reactive machines, limited-memory AI has the ability to see into the past and track specific objects or situations. However, due to memory limitations, this information is not stored in the memory of artificial intelligence as experience

3. Psychological artificial intelligence

Next, there is a more complex class of machines that not only Worlds can be created, and representations of other agents or entities can be created. These machines are crucial to our participation in social interactions because they influence how people build communities. However, if we don’t understand each other’s goals and objectives, and don’t take into account what others know about ourselves or our environment, then cooperation will become difficult or even impossible

4. Self-aware artificial intelligence

Designing artificial intelligence systems with self-awareness and conscious awareness will be the pinnacle of the development of artificial intelligence. Currently, this type of AI system has not achieved

This goes beyond psychological AI and understanding emotions, extending to self-awareness, state awareness and the ability to perceive or predict the emotions of others. For example, "I'm hungry" might become "I know I'm hungry", or "I want to eat lasagna because it's my favorite food", etc.

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