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Artificial Intelligence with Python

You're reading from   Artificial Intelligence with Python A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786464392
Length 446 pages
Edition 1st Edition
Languages
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Author (1):
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Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (17) Chapters Close

Preface 1. Introduction to Artificial Intelligence FREE CHAPTER 2. Classification and Regression Using Supervised Learning 3. Predictive Analytics with Ensemble Learning 4. Detecting Patterns with Unsupervised Learning 5. Building Recommender Systems 6. Logic Programming 7. Heuristic Search Techniques 8. Genetic Algorithms 9. Building Games With Artificial Intelligence 10. Natural Language Processing 11. Probabilistic Reasoning for Sequential Data 12. Building A Speech Recognizer 13. Object Detection and Tracking 14. Artificial Neural Networks 15. Reinforcement Learning 16. Deep Learning with Convolutional Neural Networks

Building two bots to play Hexapawn against each other

Hexapawn is a two-player game where we start with a chessboard of size NxM. We have pawns on each side of the board and the goal is to advance a pawn all the way to the other end of the board. The standard pawn rules of chess are applicable here. This is a variant of the Hexapawn recipe given in the easyAI library. We will create two bots and pit an algorithm against itself to see what happens.

Create a new Python file and import the following packages:

from easyAI import TwoPlayersGame, AI_Player, \ 
        Human_Player, Negamax 

Define a class that contains all the methods necessary to control the game. Start by defining the number of pawns on each side and the length of the board. Create a list of tuples containing the positions:

class GameController(TwoPlayersGame): 
    def __init__(self, players, size = (4, 4)): 
        self.size = size 
        num_pawns, len_board = size 
        p = [[(i, j) for j in range(len_board)] \ 
  ...
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