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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

Cognitive science


In our quest to build intelligent machines, we are attempting to build capabilities that match and for the most part mimic the human brain and the sensory organs. There are five senses and primary organs corresponding to each through which we perceive this world. The goal of cognitive science is to build these sensory capabilities in intelligent machines so that the interactions with them are natural and seamless:

  • Vision: To see the objects, understand their position in three primary dimensions, and also their movement along with time as the fourth dimension. While we use our eyes as an external interface for vision, everything else happens within the brain. By deploying principles of cognitive science, we are able to build intelligent systems that can see the objects and their movements with video cameras and create a mathematical model for converting the visual signal into a knowledge. 
  • Audition: With this sense, we hear various audio signals. The external interface to...
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