Klementinus Kennyvito Salim

This week we studied about uninformed search. There are a lot of types, including: BFS, DFS, FLS, UCS, and IDS. Breadth First Search and Depth First Search were just a review as we had learnt that subject before, whereas the other three search strategies were completely new to us.

These uninformed search strategies had different results and also different optimal results for each search. Therefore, we learned a lot of the different uninformed search strategies. We were also given an exercise to practise the uninformed search strategies.

During this first week and first meeting, we were introduced about what is AI and machine learning. A video about AI and machine learning and its differences was showed to the class. We are often confused upon what is AI and what is machine learning.

After the video, now I understand what are AI and Machine Learning respectively. It turns out that AI is to help humans’ life become easier and more practical, whereas Machine Learning is how AI is trained and became “smarter” so that AI can think like a human does.

There are a lot of factors and environment that affects the “learning” of the AI. It must know what environment they are in and what is the purpose of them, so that they are capable of helping humans and solving problem.