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  • Book Overview & Buying Hands-On Artificial Intelligence for Search
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Hands-On Artificial Intelligence for Search

Hands-On Artificial Intelligence for Search

By : Patel
4 (1)
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Hands-On Artificial Intelligence for Search

Hands-On Artificial Intelligence for Search

4 (1)
By: Patel

Overview of this book

With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take.
Table of Contents (5 chapters)
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The priority queue data structure

A priority queue is a queue in which each element has a priority. For example, when passengers are waiting in a queue to board a flight, families with young children and business class passengers usually take priority and board first; then, the economy class passengers board. Let's look at another example. Suppose that three people are waiting in a queue to be attended to at a service counter, and an old man steps in at the end of the queue. Considering his age, the people in the queue might give him a higher priority and allow him to go first. Through these two examples, we can see that the elements in a priority queue have priorities, and they are processed in order of those priorities.

Just like in queuing, we have operations to insert elements into a priority queue. The insert operation inserts an element with a specific priority. Consider...

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