Autonomy and Artificial Intelligence: A Threat or Savior?

Nonfiction, Science & Nature, Technology, Robotics, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Autonomy and Artificial Intelligence: A Threat or Savior? by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319597195
Publisher: Springer International Publishing Publication: August 24, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319597195
Publisher: Springer International Publishing
Publication: August 24, 2017
Imprint: Springer
Language: English

This book explores how Artificial Intelligence (AI), by leading to an increase in the autonomy of machines and robots, is offering opportunities for an expanded but uncertain impact on society by humans, machines, and robots. To help readers better understand the relationships between AI, autonomy, humans and machines that will help society reduce human errors in the use of advanced technologies (e.g., airplanes, trains, cars), this edited volume presents a wide selection of the underlying theories, computational models, experimental methods, and field applications. While other literature deals with these topics individually, this book unifies the fields of autonomy and AI, framing them in the broader context of effective integration for human-autonomous machine and robotic systems.

The contributions, written by world-class researchers and scientists, elaborate on key research topics at the heart of effective human-machine-robot-systems integration. These topics include, for example, computational support for intelligence analyses; the challenge of verifying today’s and future autonomous systems; comparisons between today’s machines and autism; implications of human information interaction on artificial intelligence and errors; systems that reason; the autonomy of machines, robots, buildings; and hybrid teams, where hybrid reflects arbitrary combinations of humans, machines and robots.

The contributors span the field of autonomous systems research, ranging from industry and academia to government. Given the broad diversity of the research in this book, the editors strove to thoroughly examine the challenges and trends of systems that implement and exhibit AI; the social implications of present and future systems made autonomous with AI; systems with AI seeking to develop trusted relationships among humans, machines, and robots; and the effective human systems integration that must result for trust in these new systems and their applications to increase and to be sustained.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book explores how Artificial Intelligence (AI), by leading to an increase in the autonomy of machines and robots, is offering opportunities for an expanded but uncertain impact on society by humans, machines, and robots. To help readers better understand the relationships between AI, autonomy, humans and machines that will help society reduce human errors in the use of advanced technologies (e.g., airplanes, trains, cars), this edited volume presents a wide selection of the underlying theories, computational models, experimental methods, and field applications. While other literature deals with these topics individually, this book unifies the fields of autonomy and AI, framing them in the broader context of effective integration for human-autonomous machine and robotic systems.

The contributions, written by world-class researchers and scientists, elaborate on key research topics at the heart of effective human-machine-robot-systems integration. These topics include, for example, computational support for intelligence analyses; the challenge of verifying today’s and future autonomous systems; comparisons between today’s machines and autism; implications of human information interaction on artificial intelligence and errors; systems that reason; the autonomy of machines, robots, buildings; and hybrid teams, where hybrid reflects arbitrary combinations of humans, machines and robots.

The contributors span the field of autonomous systems research, ranging from industry and academia to government. Given the broad diversity of the research in this book, the editors strove to thoroughly examine the challenges and trends of systems that implement and exhibit AI; the social implications of present and future systems made autonomous with AI; systems with AI seeking to develop trusted relationships among humans, machines, and robots; and the effective human systems integration that must result for trust in these new systems and their applications to increase and to be sustained.

More books from Springer International Publishing

Cover of the book Computational Science/Intelligence & Applied Informatics by
Cover of the book Particle Confinement in Penning Traps by
Cover of the book Developments in Language Theory by
Cover of the book Neuropsychological Assessments of Dementia in Down Syndrome and Intellectual Disabilities by
Cover of the book Credit Rating Agencies by
Cover of the book Database and Expert Systems Applications by
Cover of the book Epigenetics in Plants of Agronomic Importance: Fundamentals and Applications by
Cover of the book Uncertainty in Economics by
Cover of the book Applied Jewish Values in Social Sciences and Psychology by
Cover of the book Match-Fixing in International Sports by
Cover of the book Spectroscopy and Optical Diagnostics for Gases by
Cover of the book Jet Quenching in Relativistic Heavy Ion Collisions at the LHC by
Cover of the book Temperature- and Supply Voltage-Independent Time References for Wireless Sensor Networks by
Cover of the book Memorized Discrete Systems and Time-delay by
Cover of the book Statistical Physics of Nanoparticles in the Gas Phase by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy