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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

MASON Library


 Multi-AgentSimulationOfNeighborhoods or Networks (MASON) is a Java-based multi-agent simulation library that has a generic API library in order to easily simulate SI algorithms in particular and any general algorithm that explores the search space with the use of independent agents in general. This library is created by George Mason at the University's Center for Social Complexity and Department of Computer Science. It provides a fast and portable core written in Java programming language and is supported by visualization framework for hypothesis testing and visualization. It is a handy framework for modeling new architectures and algorithms. The design goals for the MASON library are:

  • Provide a large number of simulations and configurable experiments. The library is very easy to extend for additional simulations and use cases. 
  • High Degree of modularity and flexibility—the framework is built as a layered architecture and it deploys object oriented fundamentals for keeping the...
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