misio_labs

Metody Inteligencji Sztucznej i Obliczeniowej

This repository contains resources necessary to complete Artificial Intelligence courses (MISiO) at Poznan University of Technology.

Python Package

To run some of the tasks a special python package will be needed. To install it use:

git clone https://github.com/mihahauke/misio_labs
cd misio
sudo pip3 install

or:

sudo pip3 install git+https://github.com/mihahauke/misio_labs

or if you don't have root access:

pip3 install git+https://github.com/mihahauke/misio_labs --user

Grading

tl;dr:

you have to do all tasks
delays are penalized
cheating and sharing code will result in grade 2

Full

"Unless stated otherwise in the task description" applies to all of the following points.

each task has to be completed to pass the course; failure to do so will result in FAILING (getting grade 2) regardless of points gained from other tasks;
a task is considered completed if a solution is submitted and it scores at least 30% of achievable points (after potential delay penalty)
attendance is mandatory (as per Uni code); in case of any doubts about scoring/cheating lack of attendance may result in disadvantageous consideration
a solution has to be submited before a start of the next class; every started week of delay results in -20% penalty (sometimes you'll have 2 weeks for a task)
sharing your code or solutions is prohibited (you may however share your thoughts and ideas)
submitting someone else's solutions will result in grade 2/2 and any legal repercussions available

Lab1 Intelligent agents (10 pts)

Introduction to artificial intelligence basics: agents, environments, rationality etc. This task uses python's aima3 library for AIMA(Artificial Intelligence Modern Approach).