Even before the deep learning revolution, the landscape of artificial intelligence (AI) was already changing drastically in the 90s. Embodied intelligence, it was proposed, must play a crucial role in the design of intelligent machines. This new wave was inspired by what is today known as Embodied and Enactive Cognitive Science or E-Cognition, which considers that cognitive activity does not reduce to the intellectual capacities of agents being able to represent their environments. E-cognition set AI and robotics in a new direction, in which intelligent machines are required to interact with the environment, and where this interaction does not reduce to explicit representations or prespecified algorithms. These ideas revolutionized the way we think about intelligent machines and cognition, but these theoretical advances are only partially reflected in modern approaches to AI and machine learning (ML). Despite deeply impressive achievements, AI/ML still struggles to recapitulate the kinds of intelligence we find in natural systems, whether we are considering individual insects (e.g. simultaneous localization and mapping), or swarm behaviour (e.g. forum sensing and ensemble inferences), and especially the kinds of flexibility and high-level reasoning characteristic of human cognition.

The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences. With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.

The robotics industry is growing rapidly, and to a large extent the development of this market sector is due to the area of social robotics – the production of robots that are designed to enter the space of human social interaction, both physically and semantically. Since social robots present a new type of social agent, they have been aptly classified as a disruptive technology, i.e. the sort of technology which affects the core of our current social practices and might lead to profound cultural and social change. Due to its disruptive and innovative potential, social robotics raises not only questions about utility, ethics, and legal aspects, but calls for “robo-philosophy” – the comprehensive philosophical reflection from the perspectives of all philosophical disciplines. This book presents the proceedings of the first conference in this new area, “Robo-Philosophy 2014 – Sociable Robots and the Future of Social Relations, held in Aarhus, Denmark, in August 2014. The short papers and abstracts collected here address questions of social robotics from the perspectives of philosophy of mind, social ontology, ethics, meta-ethics, political philosophy, aesthetics, intercultural philosophy, and metaphilosophy. Social robotics is still in its early stages, but it is precisely now that we need to reflect its possible cultural repercussions. This book is accessible to a wide readership and will be of interest to everyone involved in the development and use of social robotics applications, from social roboticists to policy makers.

From AI to Robotics: Mobile, Social, and Sentient Robots is a journey into the world of agent-based robotics and it covers a number of interesting topics, both in the theory and practice of the discipline. The book traces the earliest ideas for autonomous machines to the mythical lore of ancient Greece and ends the last chapter with a debate on a prophecy set in the apparent future, where human beings and robots/technology may merge to create superior beings – the era of transhumanism. Throughout the text, the work of leading researchers is presented in depth, which helps to paint the socio-economic picture of how robots are transforming our world and will continue to do so. This work is presented along with the influences and ideas from futurists, such as Asimov, Moravec, Lem, Vinge, and of course Kurzweil. The book furthers the discussion with concepts of Artificial Intelligence and how it manifests in robotic agents. Discussions across various topics are presented in the book, including control paradigm, navigation, software, multi-robot systems, swarm robotics, robots in social roles, and artificial consciousness in robots. These discussions help to provide an overall picture of current day agent- based robotics and its prospects for the future. Examples of software and implementation in hardware are covered in Chapter 5 to encourage the imagination and creativity of budding robot enthusiasts. The book addresses several broad themes, such as AI in theory versus applied AI for robots, concepts of anthropomorphism, embodiment and situatedness, extending theory of psychology and animal behavior to robots, and the proposal that in the future, AI may be the new definition of science. Behavior-based robotics is covered in Chapter 2 and retells the debate between deliberative and reactive approaches. The text reiterates that the effort of modern day robotics is to replicate human-like intelligence and behavior, and the tools that a roboticist has at his or her disposal are open source software, which is often powered by crowd-sourcing. Open source meta-projects, such as Robot Operating System (ROS), etc. are briefly discussed in Chapter 5. The ideas and themes presented in the book are supplemented with cartoons, images, schematics and a number of special sections to make the material engaging for the reader. Designed for robot enthusiasts – researchers, students, or the hobbyist, this comprehensive book will entertain and inspire anyone interested in the exciting world of robots.

Robot Operating Systems (ROS), Python, robotic basics, and the necessary software and tools are covered first in Artificial Intelligence for Robotics. Basic navigational abilities and decision-making knowledge in robots will be taught to you. The robots will be able to recognise and pick up an irregular item if you've gone through the chapters and taught them about object recognition & genetic algorithms. Throughout, you'll find plenty of real-world examples to employ as you dive into the worlds of natural language processing as well as machine learning to give your robot an edge. Path planning & goal-oriented programming are covered in the last chapters to assist your robot to prioritise its work. By the book's conclusion, you'll understand how to use artificial intelligence simulation to provide your robot with a distinct personality.

Even as simple a task as quenching thirst with a glass of water involves a sequence of perceptions and actions woven together by expectations and experience. What are the myriad links between perception and action, and what does cognition have to do with them? Intuitively we think that perception precedes action, but we also know that action moulds perception. The reciprocal links between perception and action are now accepted almost universally. The discovery of mirror neurons that encode observed actions has further emphasized the coupling of perception and action. The real aim of this research topic is to go beyond identifying the evidence for perception-action coupling, and study the cognitive entities and processes that influence the perception-action link. For example, the internal representations of perceived and produced events are created and modified through experience. Yet the perception action link is considered relatively automatic. To what extent is the perception-action link affected by representations and their manipulations by cognitive processes? Does selective attention modify the perception action coupling? How, and to what extent, does the context provide sources of cognitive control? The developmental trajectory of the perception-action link and the influence of cognition at various stages of development could be another line of important evidence. The responses to these and other such questions contribute to our understanding of this research area with significant implications for perception-action coupling.

Consciousness is arguably the most important interdisciplinary area in contemporary philosophy of mind, with an explosion of research over the past thirty years from philosophers, psychologists, and scientists. It is also perhaps the most puzzling aspect of the world despite the fact that it is familiar to each of us. Consciousness also seems resistant to any straightforward physical explanation. This book introduces readers to the contemporary problem of consciousness, providing a clear introduction to the overall landscape and a fair-minded critical survey of various theories of consciousness. Beginning with essential historical background to the problem of consciousness, Rocco Gennaro explores the following key topics and debates: the metaphysical problem of consciousness, including varieties of dualism and materialism; consciousness and neuroscience, particularly the question of whether consciousness can be reduced to brain activity or attentional mechanisms; representational and cognitive theories of consciousness; consciousness and psychopathology; animals, machines, and consciousness. Extensive use is made of interesting phenomena throughout the book, ranging from blindsight, synaesthesia, and change blindness to phantom limb syndrome, split-brain cases, and dissociative identity disorder (DID). The inclusion of chapter summaries, annotated further reading, and a glossary make this book essential reading for anyone seeking a clear and informative overview of the problem of consciousness, not only in philosophy but related fields such as psychology and cognitive science.