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Hands-On Artificial Intelligence with Java for Beginners

You're reading from  Hands-On Artificial Intelligence with Java for Beginners

Product type Book
Published in Aug 2018
Publisher Packt
ISBN-13 9781789537550
Pages 144 pages
Edition 1st Edition
Languages
Author (1):
Nisheeth Joshi Nisheeth Joshi
Profile icon Nisheeth Joshi
Toc

Table of Contents (14) Chapters close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Introduction to Artificial Intelligence and Java 2. Exploring Search Algorithms 3. AI Games and the Rule-Based System 4. Interfacing with Weka 5. Handling Attributes 6. Supervised Learning 7. Semi-Supervised and Unsupervised Learning 1. Other Books You May Enjoy Index

An introduction to searching


Let's look at what it means to search. If we want to apply a search to any problem, we will need four pieces of input, which are referred to as the state space, and are as follows:

[S, s, O, G]

The preceding types of input can be described as follows:

  • S: A set of implicitly given states—all of the states that might be explored in a search process.
  • s: The start symbol—the starting point of the search.
  • O: The state transition operators, which indicate how a search should proceed from one node to the next and what transitions are available to the search. This is an exhaustive list. Therefore, the state transition operator keeps track of these exhaustive lists.
  • G: The goal node, pointing to where the search should end.

 

With the preceding information, we can find the following values:

  • The minimum cost transaction for a goal state
  • A sequence of transitions to a minimum cost goal
  • A minimum cost transaction for a minimum cost goal

Let's consider the following algorithm, which...

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