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)
24
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25
Index

Using search algorithms in games

Search algorithms are commonly used in games to figure out a strategy. The algorithms search through possible game moves and pick the best one. There are various parameters to consider when implementing these searches – speed, accuracy, complexity, and so on. These algorithms consider all possible game moves given a current game state and then evaluate each possible move to determine the best one. The goal of these algorithms is to find the optimal move that will eventually lead to winning the game. Also, every game has a different set of rules and constraints. These algorithms consider these rules and constraints when exploring the best moves.

Games without opponents are easier to optimize than games with opponents. Gameplay becomes more complicated with games that have multiple players. Let's consider a two-player game. For every move made by a player to try to win the game, the opposing player will make a move to prevent the player...