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Andrzej Wodecki

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Artificial Intelligence in Management

Self-learning and Autonomous Systems as Key Drivers of Value Creation

Andrzej Wodecki

Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.
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Andrzej Wodecki

In this chapter we introduce main topics covered in this book, its motivation, and briefly describe the research methodology. We present the scope of each of the proceeding chapters, and comment on the most important bibliographical sources. I forms the ground for the Chapter 1, focused on fundamental concepts of Artificial Intelligence.

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Edited by Mitsuru Kodama

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Edited by Mitsuru Kodama

Illustrating the interdisciplinary implications for research on creativity development, this book focuses on the new concept of ‘knowledge differences’ that arise between people, organizations and various phenomena. It describes how these key differences create boundaries knowledge, a dynamic process that accelerates innovation.
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Edited by Mitsuru Kodama

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Alexander R. Bolinger and Julie V. Stanton

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Debby R. Thomas, Stacie F. Chappell and David S. Bright

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Alexander R. Bolinger and Julie V. Stanton

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Debby R. Thomas, Stacie F. Chappell and David S. Bright