Intelligent Systems Weekly Report

Week One

This week is an introduction to Intelligent Systems class. This week we learned the terminologies like artificial intelligence and machine learning that we will learn in-depth later in the class. We also formed our group for the final project. In the lab class, we prepared our development environment and refreshed the basics of Python.

Week Two

This week, we learned how machines does searching. There are several searching methods that we had learned before like depth first search, breadth first search. But there are also new searching methods that we learned this week such as iterative deepening depth first search and UCS.

Iterative deepening depth first search does the searching process iteratively with a depth limit that will increase if the goal is not found on that layer. It solves the problem with regular depth first search that searches to the deepest node first then traverse its way back up even though the answer might be very close to the beginning.

UCS implementation uses priority queue to determine which node to traverse first. It will traverse to a node with the least weight first.

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