It is essential for developers to understand how neural networks simulate intelligent decision-making as well as learning techniques. Describe a Python program that implements a decision network:The action should be of three kinds (e.g., walk, run slowly, run fast).The Bayes net should include 3 elements with a chain of conditional probabilities.Instantiate the appropriate variables and probabilities.Show the MEU equation.Calculate the MEU and interpret.

Answered: It is essential for developers to…

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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It is essential for developers to understand how neural networks simulate intelligent decision-making as well as learning techniques.

Describe a Python program that implements a decision network:

The action should be of three kinds (e.g., walk, run slowly, run fast).
The Bayes net should include 3 elements with a chain of conditional probabilities.
Instantiate the appropriate variables and probabilities.
Show the MEU equation.
Calculate the MEU and interpret.

Expert Solution

Step 1: Here is the conceptual introduction:

Creating a full-fledged Bayes net with a decision network and calculating the Maximum Expected Utility (MEU) for a given scenario can be quite complex and beyond the scope of a brief response. Below is the scenario for the decision network using Python and it is also demonstrate the calculation of the Maximum Expected Utility (MEU) using the information on the given question.

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