Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
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Analyzing geography

Let's use logic programming to build a solver to analyze geography. In this problem, we will specify information about the location of various states in the US and then query the program to answer various questions based on those facts and rules. The following is a map of the US:

Figure 5: Adjacent and coastal states example map

You have been provided with two text files named adjacent_states.txt and coastal_states.txt. These files contain the details about which states are adjacent to each other and which states are coastal. Based on this, we can get interesting information like "What states are adjacent to both Oklahoma and Texas?" or "Which coastal state is adjacent to both New Mexico and Louisiana?"

Create a new Python file and import the following:

from logpy import run, fact, eq, Relation, var

Initialize the relations:

adjacent = Relation()
coastal = Relation()

Define the input...