Preface

Augmented intelligence is an alternate approach to artificial intelligence (AI), which emphasizes on AI’s assistive role, underlining the fact that cognitive technology is intended to improve human intelligence instead of replacing it. It enhances human skills of reasoning in a robotic system or software, including expectancy, educational Mining, and problem solving, recollection & sequencing, and decision-making capabilities. With the collaboration of Machine Learning, Deep Learning and Cognitive Computing it can be highly implemented technologies in the near future. It can overcome the human limitations that hinder effective research. This AI layer complements knowledge workers’ efforts and allows them to essentially automate or drastically reduce the time devoted to low-value tasks, while focusing more on higher impact issues. Augmented Intelligence can eliminate time-consuming tasks, freeing up teams to focus on higher value analysis.

There are many research problems which are NP-Complete. Being a research fellow, one has to provide an optimal solution to the hard-to-solve problems in different sectors of optimization problems. For such needs, this book will give helpful insight while identifying problem statements and then the idea to develop time-optimal strategies for such unresolved issues. This book is also helpful to write articles on various issues which involve Augmented Intelligence based on ML, DL, Cognitive Computing and its various applications in real life scenario. They can grab the opportunity from this book to devolve some new algorithms, models, patents based on Augmented Intelligence to design more robust, efficient, accurate models.

This book will be able to define the model which supports Knowledge Discovery, educational model design, self-learned system, logical reasoning, virtual learning, social network analysis, etc.