During this first week of the Intelligent Systems, we were introduced to what an AI and Machine Learning really is. The video that was presented in class helped me further understand what AI and Machine Learning really is and on what they actually do. The video explained that Machine Learning is a part of AI and that it is, like what the name itself implied, to make machine learn just like a human brain does.

The way Machine Learning is approached is that it is similar to the way how kids learn things, and also how humans learn which is by experience or a trial and error. The goal for Machine Learning is that so a machine can think rationally and make decisions by itself just like what a human does, which then results in an Artificial Intelligence (AI). The video also mentioned that if Machine Learning and AI is to advance to another level it could very well not be “Artificial” anymore rather, it is now “Intelligence” itself.

After the video, we learned more about AI and also its Intelligent Agent Design through the presentation presented during class by Ms. Nurul. It was mentioned that AI has many definitions and that it has 4 components which includes thinking like humans, thinking rationally, acting like humans, and acting rationally. The nature of AI isn’t only made through Computer Science, but there are also other aspects needed in order for them to fulfill the components of AI such as philosophy, psychology, etc.

Intelligent Agent consist of a sensor to help the AI to perceive the environment, which then allows them to take a certain action. There are plenty of Environmental Factors for the agent design, and also various Agent Types such as goal-based agent, utility-based agent, etc.