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Artificial Intelligence By Example

You're reading from   Artificial Intelligence By Example Acquire advanced AI, machine learning, and deep learning design skills

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781839211539
Length 578 pages
Edition 2nd Edition
Languages
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Author (1):
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Denis Rothman Denis Rothman
Author Profile Icon Denis Rothman
Denis Rothman
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Table of Contents (23) Chapters Close

Preface 1. Getting Started with Next-Generation Artificial Intelligence through Reinforcement Learning 2. Building a Reward Matrix – Designing Your Datasets FREE CHAPTER 3. Machine Intelligence – Evaluation Functions and Numerical Convergence 4. Optimizing Your Solutions with K-Means Clustering 5. How to Use Decision Trees to Enhance K-Means Clustering 6. Innovating AI with Google Translate 7. Optimizing Blockchains with Naive Bayes 8. Solving the XOR Problem with a Feedforward Neural Network 9. Abstract Image Classification with Convolutional Neural Networks (CNNs) 10. Conceptual Representation Learning 11. Combining Reinforcement Learning and Deep Learning 12. AI and the Internet of Things (IoT) 13. Visualizing Networks with TensorFlow 2.x and TensorBoard 14. Preparing the Input of Chatbots with Restricted Boltzmann Machines (RBMs) and Principal Component Analysis (PCA) 15. Setting Up a Cognitive NLP UI/CUI Chatbot 16. Improving the Emotional Intelligence Deficiencies of Chatbots 17. Genetic Algorithms in Hybrid Neural Networks 18. Neuromorphic Computing 19. Quantum Computing 20. Answers to the Questions 21. Other Books You May Enjoy
22. Index

Adding fulfillment functionality to an agent

A dialog can quickly become boring in everyday life and even more so in a chatbot. When we begin to guess everything that an interlocutor has to say, our mind slowly drifts away. We cannot help it. Humans are a curious species. Fulfillment will change the perspective of dialog. That is what I call purpose beyond the pragmatic approach that says fulfillment adds business logic to a dialog.

To make the dialog sustainable, even from a practical point of view, it has to excite the user enough to want it to come back and discover more about your chatbot beyond obtaining business information from it.

If you look fulfilling up in a dictionary, you will find that it means providing happiness or satisfaction, which is exactly the feeling of purpose you want your chatbot to convey.

That being said, there is work to do in order to reach that goal. Dialogflow provides a wide array of tools to reach fulfillment for the user, the designer...

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