<s>[INST] What are the different models of artificial intelligence and which one would be the best suited to replicate human's behaviors? [/INST] There are several different models of artificial intelligence (AI), including:

Rule-based systems: These are systems that use a set of rules to make decisions. They are suitable for simple tasks but are limited by the regulations that have been programmed into them.

Decision trees: These models use a tree-like structure to represent decisions and their possible outcomes. They are suitable for simple decision-making tasks and can be easy to understand.

Neural networks: These are models inspired by the human brain's structure and function. They can be used for many tasks, including image recognition, speech recognition, and language translation.

Genetic algorithms: These models use the principles of natural selection and genetics to evolve solutions to problems. They are suitable for problems with many possible solutions and where finding the best solution is complex.

Reinforcement learning: These models learn through trial and error by receiving rewards or penalties for their actions. They are suitable for problems where an agent must make decisions in an environment.

A model that uses a combination of these models would be best suited to replicate human behavior. For example, a neural network could be used to replicate human decision-making and perception, while a reinforcement learning algorithm could replicate human learning. However, replicating human behavior accurately is still a challenge and is an active area of research in AI.</s>\ <s>[INST] what code would I write to do that? [/INST] Many artificial intelligence systems take a lot of code and technical expertise in order to write. To get started, any type of neural network is best written in Python because it has the largest support for ML using the PyTorch or Tensorflow libraries. 

Decision trees can be written in many ways, but the most common is writing a class for a node and extending the node for different functionalities.

Rule based systems are very much per-case code.</s>