Artificial intelligence (AI) is all around us. From driver-less cars to game winning computers to fraud protection, AI is already involved in many aspects of life, and its impact will only continue to grow, in the future. Many of the world’s most valuable companies are investing heavily in AI research and development, and not a day goes by without news of cutting edge breakthroughs in AI and robotics. As the field of AI and Robotics continues to grow, the timely dissemination of emerging research and developments is increasingly important. This new book series serves as a publication venue for innovative technical contributions in AI and robotics, with coverage of both theoretical AI research and applied AI and robotics.
We are looking for a broad range of textbooks, reference books, and handbooks in the following areas: Knowledge Representation and Reasoning, Affective Computing, Deep Learning/Neural Networks, Natural Language Processing, AI Safety, Machine Ethics, Superintelligence, Technological Singularity, Multi-Agent Systems, Programming Languages for AI, Robot Navigation, Robotic Applications, and more. We are also willing to consider other relevant topics that may be proposed by potential contributors.
Introduction to Self-Driving Vehicle Technology
Virtual Humans: Today and Tomorrow
Artificial Intelligence for Autonomous Networks
Artificial Intelligence Safety and Security
Yasmina Bestaoui Sebbane
April 16, 2020
Multi-robot systems are a major research topic in robotics. Designing, testing, and deploying aerial robots in the real world is a possibility due to recent technological advances. This book explores different aspects of cooperation in multiagent systems. It covers the team approach as well as...
Maggi Savin-Baden, Victoria Mason-Robbie
April 02, 2020
Despite the range of studies into grief and mourning in relation to the digital, research to date largely focuses on the cultural practices and meanings that are played out in and through digital environments. Digital Afterlife brings together experts from diverse fields who share an interest in...
February 28, 2020
There are many myths and mistakes which make the topics of artificial intelligence complex and confusing. But the truth is that the foundations of AI are not rocket science. People do not need a PhD to understand how a basic neural network works. In fact, one does not even need computer skills to...
December 11, 2019
This book aims to teach the core concepts that make Self-driving vehicles (SDVs) possible. It is aimed at people who want to get their teeth into self-driving vehicle technology, by providing genuine technical insights where other books just skim the surface. The book tackles everything from...
Yunong Zhang, Dechao Chen, Chengxu Ye
March 20, 2019
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book...
David Burden, Maggi Savin-Baden
February 04, 2019
Virtual Humans provides a much-needed definition of what constitutes a ‘virtual human’ and places virtual humans within the wider context of Artificial Intelligence development. It explores the technical approaches to creating a virtual human, as well as emergent issues such as embodiment, identity...
October 02, 2018
Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting...
Roman V. Yampolskiy
August 23, 2018
The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make...
Michele Colledanchise, Petter Ögren
July 24, 2018
Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add...
Richard E. Neapolitan, Xia Jiang
May 16, 2018
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility...
April 26, 2018
The science of AI was born a little over 60 years ago, but for most of that time its achievements were modest. In 2012 it experienced a big bang, when a branch of statistics called Machine Learning (and a sub-branch called Deep Learning) was applied to it. Now machines have surpassed humans in...
Yasmina Bestaoui Sebbane
March 16, 2018
Intelligent Autonomy of UAVs: Advanced Missions and Future Use provides an approach to the formulation of the fundamental task typical to any mission and provides guidelines of how this task can be solved by different generic robotic problems. As such, this book aims to provide a systems...