Reinforcement and Systemic Machine Learning for Decision Making

Nonfiction, Science & Nature, Technology, Electronics
Cover of the book Reinforcement and Systemic Machine Learning for Decision Making by Parag Kulkarni, Wiley
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Author: Parag Kulkarni ISBN: 9781118271551
Publisher: Wiley Publication: July 11, 2012
Imprint: Wiley-IEEE Press Language: English
Author: Parag Kulkarni
ISBN: 9781118271551
Publisher: Wiley
Publication: July 11, 2012
Imprint: Wiley-IEEE Press
Language: English

Reinforcement and Systemic Machine Learning for Decision Making

There are always difficulties in making machines that learn from experience. Complete information is not always available—or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm—creating new learning applications and, ultimately, more intelligent machines.

The first book of its kind in this new and growing field, Reinforcement and Systemic Machine Learning for Decision Making focuses on the specialized research area of machine learning and systemic machine learning. It addresses reinforcement learning and its applications, incremental machine learning, repetitive failure-correction mechanisms, and multiperspective decision making.

Chapters include:

  • Introduction to Reinforcement and Systemic Machine Learning
  • Fundamentals of Whole-System, Systemic, and Multiperspective Machine Learning
  • Systemic Machine Learning and Model
  • Inference and Information Integration
  • Adaptive Learning
  • Incremental Learning and Knowledge Representation
  • Knowledge Augmentation: A Machine Learning Perspective
  • Building a Learning System With the potential of this paradigm to become one of the more utilized in its field, professionals in the area of machine and systemic learning will find this book to be a valuable resource.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Reinforcement and Systemic Machine Learning for Decision Making

There are always difficulties in making machines that learn from experience. Complete information is not always available—or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm—creating new learning applications and, ultimately, more intelligent machines.

The first book of its kind in this new and growing field, Reinforcement and Systemic Machine Learning for Decision Making focuses on the specialized research area of machine learning and systemic machine learning. It addresses reinforcement learning and its applications, incremental machine learning, repetitive failure-correction mechanisms, and multiperspective decision making.

Chapters include:

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