Welcome to the InfoSci Platform
Towards Adaptive Enterprise: Adaptation and Learning

Towards Adaptive Enterprise: Adaptation and Learning

Harshad Khadilkar, Aditya Avinash Paranjape
Copyright: © 2020 |Pages: 26
ISBN13: 9781799801085|ISBN10: 179980108X|ISBN13 Softcover: 9781799801092|EISBN13: 9781799801108
DOI: 10.4018/978-1-7998-0108-5.ch007
Cite Chapter Cite Chapter

MLA

Khadilkar, Harshad, and Aditya Avinash Paranjape. "Towards Adaptive Enterprise: Adaptation and Learning." Advanced Digital Architectures for Model-Driven Adaptive Enterprises, edited by Vinay Kulkarni, et al., IGI Global, 2020, pp. 132-157. https://doi.org/10.4018/978-1-7998-0108-5.ch007

APA

Khadilkar, H. & Paranjape, A. A. (2020). Towards Adaptive Enterprise: Adaptation and Learning. In V. Kulkarni, S. Reddy, T. Clark, & B. Barn (Eds.), Advanced Digital Architectures for Model-Driven Adaptive Enterprises (pp. 132-157). IGI Global. https://doi.org/10.4018/978-1-7998-0108-5.ch007

Chicago

Khadilkar, Harshad, and Aditya Avinash Paranjape. "Towards Adaptive Enterprise: Adaptation and Learning." In Advanced Digital Architectures for Model-Driven Adaptive Enterprises, edited by Vinay Kulkarni, et al., 132-157. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0108-5.ch007

Export Reference

Mendeley
Favorite

Abstract

The key to a successful adaptive enterprise lies in techniques and algorithms that enable the enterprise to learn about its environment and use the learning to make decisions that maximize its objectives. The volatile nature of the contemporary business environment means that learning needs to be continuous and reliable, and the decision-making rapid and accurate. In this chapter, the authors investigate two promising families of tools that can be used to design such algorithms: adaptive control and reinforcement learning. Both methodologies have evolved over the years into mathematically rigorous and practically reliable solutions. They review the foundations, the state-of-the-art, and the limitations of these methodologies. They discuss possible ways to bring together these techniques in a way that brings out the best of their capabilities.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.