1- A search problem can be defined formally by the following elements: States, initial state, actions, and goal States, initial state, actions, goal, and transition model States, initial state, actions, actors, goal, and transition model States, initial state, actions, goal, transition model, and action cost function 2- Deep learning uses Convolutional Neural Networks uses the deep analysis technique combines the deep analysis technique with the advanced learning technique is not yet technologically feasible. 3- Given a game tree, the optimal strategy can be determined by utilizing the A algorithm a Monte Carlo tree search the Hill Climbing method a minimax search

1- A search problem can be defined formally by the following elements: States, initial state, actions, and goal States, initial state, actions, goal, and transition model States, initial state, actions, actors, goal, and transition model States, initial state, actions, goal, transition model, and action cost function 2- Deep learning uses Convolutional Neural Networks uses the deep analysis technique combines the deep analysis technique with the advanced learning technique is not yet technologically feasible. 3- Given a game tree, the optimal strategy can be determined by utilizing the A algorithm a Monte Carlo tree search the Hill Climbing method a minimax search

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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