Poole D.L., Mackworth A.K. Python code for Artificial Intelligence: Foundations of Computational Agents

Artint.info, 2019. — 221 p.We use Python because Python programs can be close to pseudo-code. It is designed for humans to read. Python is reasonably efficient. Efficiency is usually not a problem for small examples. If your Python code is not efficient enough, a general procedure to improve it is to find out what is taking most the time, and implement just that part more efficiently in some lower-level language. Most of these lowerlevel languages interoperate with Python nicely. This will result in much less programming and more efficient code (because you will have more time to optimize) than writing everything in a low-level language. You will not have to do that for the code here if you are using it for course projects.Python for Artificial Intelligence.
Agents and Control.
Searching for Solutions.
Reasoning with Constraints.
Propositions and Inference.
Planning with Certainty.
Supervised Machine Learning.
Reasoning Under Uncertainty.
Planning with Uncertainty.
Learning with Uncertainty.
Multiagent Systems.
Reinforcement Learning.
Relational Learning.