In the ViB you can find textbooks and interactive learning materials created by members of the CoAI JRC for fields that are fundamental for research in cooperative and cognition-enabled AI, including cognitive robotics, knowledge representation, ontology-based interpretation of natural language, linguistic linked data, human-robot interaction, child language development, and much more.
This open access book provides an introduction to meaningful AI, which investigates possibilities for constructing AI systems that rest on meaning and understanding. It includes a general introduction to the field, survey chapters on what understanding means in various human-centered research fields outside of AI, and discussion of key research topics for meaning-based human-centric AI. The book comes with benchmarks for short story generation with knowledge graphs, evaluating knowledge-based generated gossip stories, and understanding complex concepts. This is a valuable resource for anyone getting started in the field of human-centric AI and integrated intelligence.
Frühe Sprachentwicklung (“Early Language Development”) offers a thorough introduction to early language acquisition and development. Designed primarily for students of linguistics and education science, it provides a survey of contemporary debates about language development and an introduction to the neurophysiology of language acquisition. The book shows how children experience language and explores the way language develops in interaction with motor and cognitive capacities.
This is the virtual home of the open textbook Human-Robot Interaction – An Introduction, published by Cambridge University Press. Written by leading researchers in this developing field, this textbook is the first to provide a broad overview of the multidisciplinary topics central to modern HRI research. Here students and researchers from robotics, artificial intelligence, psychology, sociology, and design will find a freely accessible electronic version of the textbook, as well as a massive open online course (MOOC), podcasts, and more.
InteL4CoRo is an open interactive textbook and immersive learning environment for cognitive robotics, with curricula that can be reconfigured for different courses, final theses, team-based software development projects, and robot competitions.
Knowledge Graphs is an open access textbook that provides a comprehensive and accessible introduction to knowledge graphs, which are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics, and example code and associated resources are available in the Github repository for the book.
Lesekompetenz Fördern (“Promoting Reading Competence”) is an open-access presentation of the family literacy program LIFE (Lesen in Familie erleben) that offers a guide through nine learning activities that children and their parents can do in cooperation with their grade school or other educational institution. The activities and accompanying text are designed to simultaneously encourage children’s written language development and strengthen parents’ support capabilities. It is also a valuable resource for those who are interested in developing AI systems that learn new skills from humans the way humans learn from each other.
This is the first monograph in the emerging area of linguistic linked data, presenting a mix of background information on linguistic linked data and concrete implementation advice. It describes in detail how linked data principles can be applied to modelling and exploiting language resources, and is relevant for researchers and graduate students interested in topics at the crossroads of natural language processing / computational linguistics and the Semantic Web / linked data.
For machines, the task of interpreting natural language, especially grasping meaning beyond the literal content, has proven extremely difficult and requires a large amount of background knowledge. Ontology-Based Interpretation of Natural Language focuses on the interpretation of natural language with respect to specific domain knowledge captured in ontologies, putting ontologies at the center of the interpretation process. We highlight some of the challenges involved in the construction of ontology-based meaning representations, and show how ontologies can be exploited for ambiguity resolution and the interpretation of temporal expressions. We present a question answering system that combines all tools and techniques introduced throughout the book in a real-world application, and sketch how the presented approach can scale to larger, multi-domain scenarios in the context of the Semantic Web.
Ontology Learning and Population from Text introducees approaches for ontology learning from text, and is relevant for students and researchers in text mining, natural language processing, information retrieval, semantic web and ontologies. It contains introductory material and a quantity of related work, as well as detailed descriptions of algorithms and evaluation procedures. This book is suitable for both novices and experts in the field, as well as lecturers.
Robots in Education is an accessible introduction to the use of robotics in formal learning, encompassing pedagogical and psychological theories as well as implementation in curricula. Many communities across education are increasingly using robots as general classroom tutors, tools in STEM projects, and subjects of study. This volume explores how the unique physical and social-interactive capabilities of educational robots can generate bonds with students while freeing instructors to focus on their individualized approaches to teaching and learning. Authored by a uniquely interdisciplinary team of scholars, the book covers the basics of robotics and their supporting technologies; attitudes toward and ethical implications of robots in learning; research methods relevant to extending our knowledge of the field; and more.
Interactive adaptive systems increasingly become part of our everyday life. Which factors could shape this development and under which conditions will interactions with technical systems be deemed socially appropriate? This open-access book presents the FASA (Factors of Social Appropriateness) Model, which provides a structured approach to our understanding of social appropriateness in human-technology interaction, and serves to inform design choices for sociosensitive and socioactive artificial assistants. The book provides an overview of the FASA Model along with applications to different technical systems.
The open access book Wandel von Autonomie und Kontrolle durch neue Mensch-Technik Interaktionen (“Changes in Autonomy and Control through New Human-Technology Interactions”) investigates how the concepts of autonomy and control as they have long been understood in the philosophical tradition relate to more recent advances in technology and the development of new kinds of human-technology interactions. The book presents the results of the interdisciplinary WAK-MIT project, written in a jargon-free way that is intended to be accessible for researchers across disciplines who are interested in human-technology interaction research.