Henry Hexmoor Livres

Exploring the role of autonomous robots in various environments, this book delves into how these machines can perform tasks too hazardous or monotonous for humans. It discusses the potential for robots to coexist with humans, enhancing our understanding of both natural and artificial settings. Through a structured approach, it covers foundational concepts, current advancements, and future applications, aiming to clarify the capabilities and limitations of robotics. The content serves as a guide for those interested in the evolving relationship between humans and robots.

The emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal discipline. Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research.