Skip to Main Content
Game AI Pro 2
book

Game AI Pro 2

by Steven Rabin
April 2015
Beginner content levelBeginner
577 pages
17h 58m
English
A K Peters/CRC Press
Content preview from Game AI Pro 2

Chapter 24

Interest Search

A Faster Minimax

Jeff Rollason

24.1 Introduction

Minimax has been the dominant paradigm for many board games for so long, able to deliver either good or perfect solutions to many game problems. Such is this success that in many primary areas of human game intellect the best play is based on minimax-based AI. However, minimax has its limitations, and in some domains with great combinatorial complexity, minimax has been replaced by Monte Carlo tree search (MCTS) as the preferred solution. Where unscripted MCTS is rolling out to terminal nodes (the expected case), it sadly depends on spending most of its time assessing junk variations in the simulation phase in order to finally pick a “best” move. Note that in this case, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Game AI Pro 3

Game AI Pro 3

Steve Rabin
Game AI Pro

Game AI Pro

Steven Rabin

Publisher Resources

ISBN: 9781482254792