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Artificial Intelligence for Big Data

You're reading from  Artificial Intelligence for Big Data

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Pages 384 pages
Edition 1st Edition
Languages
Authors (2):
Anand Deshpande Anand Deshpande
Profile icon Anand Deshpande
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (19) Chapters close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Big Data and Artificial Intelligence Systems 2. Ontology for Big Data 3. Learning from Big Data 4. Neural Network for Big Data 5. Deep Big Data Analytics 6. Natural Language Processing 7. Fuzzy Systems 8. Genetic Programming 9. Swarm Intelligence 10. Reinforcement Learning 11. Cyber Security 12. Cognitive Computing 1. Other Books You May Enjoy Index

Summary


In this chapter, we have seen an interesting aspect in building AI. Nature has the best algorithm when it comes to harmoniously managing an extremely complex ecosystem that has a massive scale. We take inspiration from nature and some of the smallest creatures that have tiny brains and hence a very small number of neurons compared to human beings. However, these small creatures are able to collectively achieve feats that are far bigger than the sum of their individual capabilities. The operating principles of these community creatures cannot be ignored when we are on a quest to build AI systems that complement and augment human capabilities.

In this chapter, we have seen some of the fundamental concepts of natural swarm intelligence and some of the principles we need to consider while developing modern systems based on SI. We have tried to represent the collective behaviors in a mathematical form and derive some of the patterns in developing the algorithmic behavior for the artificial...

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