Center for Analysis and Design of Intelligent Agents public:t-622-arti-15-1
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2026-04-21T06:22:53+00:00Center for Analysis and Design of Intelligent Agents
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Lab 1 - Agents
Note: For this lab, you can work together in teams of up to 4 students. You can use Piazza to find team mates and discuss problems.
You will need a Java Development Kit (JDK) and a Java IDE (a text editor should do as well).
Problem Descriptiontext/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:lab_2_-_hashing_states
http://cadia.ru.is/wiki/public:t-622-arti-15-1:lab_2_-_hashing_states?rev=1714397608&do=diff
Lab 2 - Hashing States
Note: For this lab, you can work together in teams of up to 4 students. However, this is not a necessity. The assignment is small enough to do it alone in which case you may get more experience. You can use Piazza to find team members and discuss problems.text/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:lab_3_-_csps
http://cadia.ru.is/wiki/public:t-622-arti-15-1:lab_3_-_csps?rev=1714397608&do=diff
Lab 3 - Constraint Satisfaction Problems
Note: For this lab, you can work together in teams of up to 4 students. However, this is not a necessity. The assignment is small enough to do it alone in which case you may get more experience. You can use Piazza to find team members and discuss problems.text/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:lab_4_-_propositional_logic
http://cadia.ru.is/wiki/public:t-622-arti-15-1:lab_4_-_propositional_logic?rev=1714397608&do=diff
Lab 4 - Propositional Logic / Inference
Problem Description
(Based on “The Adventure of Silver Blaze,” an original Sherlock Holmes mystery by Arthur Conan Doyle)
A prize-winning racehorse named Silver Blaze has been stolen from a stable, and a bookmaker named Fitzroy Simpson has been arrested as the prime suspect by good old Inspector Gregory. Sherlock Holmes, however, after ample use of his magnifying glass and some of the strongest black tobacco this side of the Atlantic, finds the true thi…text/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:lab_5_-_bayesian_networks
http://cadia.ru.is/wiki/public:t-622-arti-15-1:lab_5_-_bayesian_networks?rev=1714397608&do=diff
Lab 5: Bayesian Networks
In this session we will look at some basic Bayesian Networks and you will solve two problems using a Bayesian Network simulator.
You can work together in groups. Hand in the results in MySchool.
Material
Here are two different Bayesian Network simulations that you can use:text/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:lab_6_-_learning_decision_trees
http://cadia.ru.is/wiki/public:t-622-arti-15-1:lab_6_-_learning_decision_trees?rev=1714397608&do=diff
Learning Decision Trees
Material:
* [java project]
* javadoc for the framework
The zip archive contains three data sets and Java code to learn a decision tree from those data sets. Your task is to check how well the learning algorithm performs on the given data sets.
Tasks:
* Change the existing code (changing the main method should do), so that it prints the necessary data for a learning curve to standard output. That is, change the code such that it learns trees for increasing numbe…text/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:lab_7_-_particle_filtering
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Lab 7: Particle Filter
In this session we will look at how to use particle filtering for localization of a robot.
Material
Download the following file:
It includes:
* Source code for a simple robot simulator
* A skeleton for a particle filter algorithm (ParticleFilter.java)text/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:main
http://cadia.ru.is/wiki/public:t-622-arti-15-1:main?rev=1714397608&do=diff
T-622-ARTI, Introduction to Artificial Intelligence, Spring 2015
Description
Artificial Intelligence (AI) is devoted to the computational study of intelligent behaviour, including areas such as problem solving, knowledge representation, reasoning, planning and scheduling, machine learning, perception and communication. This course gives an overview of the aforementioned AI subfields from a computer science perspective and introduces fundamental solution techniques for addressing them. An impor…text/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:prog1
http://cadia.ru.is/wiki/public:t-622-arti-15-1:prog1?rev=1714397608&do=diff
Programming Assignment 1 - Search
Use the Piazza page, if you have any questions or problems with the assignment. Start early, so you still have time to ask in case of problems!
You can work on this assignment in a group (up to 4 students per group).
Problem Descriptiontext/html2024-04-29T13:33:28+00:00Anonymous (anonymous@undisclosed.example.com)public:t-622-arti-15-1:prog2
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Programming Assignment 2 - Adversarial Search
Use Piazza or email me, if you have any questions or problems with the assignment. Start early, so you still have time to ask in case of problems!
Problem Description
Implement an agent that is able to play