This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems.&nbsp; Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems.&nbsp; The book&nbsp;presents examples of using this framework to define and evaluate in multiple domains including&nbsp; image recognition image-based open world learning,&nbsp; hand-writing and author analysis,&nbsp; CartPole Control,&nbsp; Image Captioning, and Monopoly.&nbsp; Chapters are written by well-known contributors to this new and emerging field.&nbsp; In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.&nbsp;&nbsp;<div><br></div><div><br></div><div><br></div><br> <p></p><div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</div>