Social Robots in Social Institutions

Proceedings of Robophilosophy 2022

Social institutions emerge from social practices which coordinate activities by the explicit statement of rules, goals, and values. When artificial social actors are introduced into the physical and symbolic space of institutions, will this affect or transform institutional structures and practices, and how can social robotics as an interdisciplinary endeavor contribute to the ability of our institutions to perform their functions in society?

This book presents the Proceedings of Robophilosophy 2022, the 5th event in the biennial Robophilosophy conference series, held in Helsinki, Finland, from 16 to 19 August 2022. The theme of this edition of the conference was Social Robots in Social Institutions, and it featured international multidisciplinary research from the humanities, social sciences, Human-Robot Interaction, and social robotics. The 63 papers, 41 workshop papers and 5 posters included in this book are divided into 4 sections: plenaries, sessions, workshops and posters, with the 41 papers in the ‘Sessions’ section grouped into 13 subdivisions including elderly care, healthcare, law, education and art, as well as ethics and religion. These papers explore the anticipated conceptual and practical changes which will come about in the course of introducing social robotics into public and private institutions, such as public services, legal systems, social and healthcare services, or educational institutions.

The research contributions collected here offer cutting edge explorations of the societal significance of social robots for the future of social institutions – they will be of interest to both researchers in Robophilosophy, Human-Robot Interactions, and robotics, as well as private companies and policy makers aiming to place artificial social agents in social institutions.
Editors: Hakli, R., Mäkelä, P., Seibt, J.
Pages: 798
Binding: softcover
Volume 366 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-374-4
ISBN online: 978-1-64368-375-1

Machine Learning and Artificial Intelligence

Proceedings of MLIS 2022

Machine learning (ML) and artificial intelligence (AI) applications are now so pervasive that they have become indispensable facilitators which improve the quality of all our daily lives.

This book presents the proceeding of MLIS 2022, the 4th International Conference on Machine Learning and Intelligent Systems, held as a virtual event due to the continued uncertainty caused by the Covid-19 pandemic and hosted in Seoul, South Korea from 8 to 11 November 2022. The aim of the annual MLIS conference is to provide a platform for the exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems, and to strengthen links in the scientific community in related research areas. Scientific topics covered at MLIS 2022 included data mining, image processing, neural networks, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. The book contains the 20 papers selected for acceptance after a rigorous peer review process from the more than 90 full papers submitted. Selection criteria were based on originality, scientific/practical significance, compelling logical reasoning and language, and the 20 papers included here all provide either innovative and original ideas or results of general significance in the field of ML and AI.

Providing an overview of the latest research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.
Editor: Kim, J.-L
Pages: 170
Binding: softcover
Volume 360 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-356-0
ISBN online: 978-1-64368-357-7

Proceedings of CECNet 2022

The 12th International Conference on Electronics, Communications and Networks (CECNet 2022), 4-7 November 2022

Electronics, communication and networks coexist, and it is not possible to conceive of our current society without them. Within the next decade we will probably see the consolidation of 6G-based technology, accompanied by many compatible devices, and fiber-optic is already an advanced technology with many applications.

This book presents the proceedings of CECNet 2022, the 12th International Conference on Electronics, Communications and Networks, held as a virtual event with no face-to-face participation in Xiamen, China, from 4 to 7 November 2022. CECNet is held annually, and covers many interrelated groups of topics such as electronics technology, communication engineering and technology, wireless communications engineering and technology and computer engineering and technology. This year the conference committee received 313 submissions. All papers were carefully reviewed by program committee members, taking into consideration the breadth and depth of research topics falling within the scope of the conference, and after further discussion, 79 papers were selected for presentation at the conference and for publication in this book. This represents an acceptance rate of about 25%. 

The book offers an overview of the latest research and developments in these rapidly evolving fields, and will be of interest to all those working with electronics, communication and networks.
Editor: Tallón-Ballesteros, A.J.
Pages: 694
Binding: softcover
Volume 363 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-368-3
ISBN online: 978-1-64368-369-0

Exploiting Environment Configurability in Reinforcement Learning

In recent decades, Reinforcement Learning (RL) has emerged as an effective approach to address complex control tasks. In a Markov Decision Process (MDP), the framework typically used, the environment is assumed to be a fixed entity that cannot be altered externally. There are, however, several real-world scenarios in which the environment can be modified to a limited extent. 

This book, Exploiting Environment Configurability in Reinforcement Learning, aims to formalize and study diverse aspects of environment configuration. In a traditional MDP, the agent perceives the state of the environment and performs actions. As a consequence, the environment transitions to a new state and generates a reward signal. The goal of the agent consists of learning a policy, i.e., a prescription of actions that maximize the long-term reward. Although environment configuration arises quite often in real applications, the topic is very little explored in the literature. The contributions in the book are theoretical, algorithmic, and experimental and can be broadly subdivided into three parts. The first part introduces the novel formalism of Configurable Markov Decision Processes (Conf-MDPs) to model the configuration opportunities offered by the environment. The second part of the book focuses on the cooperative Conf-MDP setting and investigates the problem of finding an agent policy and an environment configuration that jointly optimize the long-term reward. The third part addresses two specific applications of the Conf-MDP framework: policy space identification and control frequency adaptation. 

The book will be of interest to all those using RL as part of their work.

Author: Metelli, A.M.
Pages: 376
Binding: softcover
Volume 361 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-362-1
ISBN online: 978-1-64368-363-8

Legal Knowledge and Information Systems

JURIX 2022: The Thirty-fifth Annual Conference, Saarbrücken, Germany, 14-16 December 2022

In recent years, interest within the research community and the legal industry regarding technological advances in legal knowledge representation and processing has been growing. This relates to areas such as computational models of legal reasoning, cybersecurity, privacy, trust and blockchain methods, among other things.

This book presents the proceedings of JURIX 2022, the 35th International Conference on Legal Knowledge and Information Systems, held from 14 –16 December in Saarbrücken, Germany, under the auspices of the Dutch Foundation for Legal Knowledge Based Systems and hosted by Saarland University. The annual JURIX conference has become an international forum for academics and professionals to exchange knowledge and experiences at the intersection of law and artificial intelligence (AI). For this edition, 62 submissions were received from 163 authors in 24 countries. Following a rigorous review process, carried out by a programme committee of 72 experts recognised in the field, 14 submissions were selected for publication as long papers, 22 as short papers and 5 as demo papers, making a total of 41 papers altogether and representing a 22.5% acceptance rate for long papers (66.1% overall). The broad array of topics covered includes argumentation and legal reasoning, legal ontologies and the semantic web, machine and deep learning and natural language processing for legal knowledge extraction, as well as argument mining, translation of legal texts, defeasible logic, legal compliance, explainable AI, alternative dispute resolution, legal drafting and smart contracts.

Providing an overview of recent advances, the book will be of interest to all those working at the interface between the law and AI.

Editors: Francesconi, E., Borges, G., Sorge, C.
Pages: 322
Binding: softcover
Volume 362 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-364-5
ISBN online: 978-1-64368-365-2

Deep Learning with Relational Logic Representations

Deep learning has been used with great success in a number of diverse applications, ranging from image processing to game playing, and the fast progress of this learning paradigm has even been seen as paving the way towards general artificial intelligence. However, the current deep learning models are still principally limited in many ways.

This book, ‘Deep Learning with Relational Logic Representations’, addresses the limited expressiveness of the common tensor-based learning representation used in standard deep learning, by generalizing it to relational representations based in mathematical logic. This is the natural formalism for the relational data omnipresent in the interlinked structures of the Internet and relational databases, as well as for the background knowledge often present in the form of relational rules and constraints. These are impossible to properly exploit with standard neural networks, but the book introduces a new declarative deep relational learning framework called Lifted Relational Neural Networks, which generalizes the standard deep learning models into the relational setting by means of a ‘lifting’ paradigm, known from Statistical Relational Learning. The author explains how this approach allows for effective end-to-end deep learning with relational data and knowledge, introduces several enhancements and optimizations to the framework, and demonstrates its expressiveness with various novel deep relational learning concepts, including efficient generalizations of popular contemporary models, such as Graph Neural Networks.

Demonstrating the framework across various learning scenarios and benchmarks, including computational efficiency, the book will be of interest to all those interested in the theory and practice of advancing representations of modern deep learning architectures.

Author: Šír, G.
Pages: 238
Binding: softcover
Volume 357 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-342-3
ISBN online: 978-1-64368-343-0

Fuzzy Systems and Data Mining VIII

Proceedings of FSDM 2022

Fuzzy logic is vital to applications in the electrical, industrial, chemical and engineering realms, as well as in areas of management and environmental issues. Data mining is indispensible in dealing with big data, massive data, and scalable, parallel and distributed algorithms.

This book presents papers from FSDM 2022, the 8th International Conference on Fuzzy Systems and Data Mining. The conference, originally scheduled to take place in Xiamen, China, was held fully online from 4 to 7 November 2022, due to ongoing restrictions connected with the COVID-19 pandemic. This year, FSDM received 196 submissions, of which 47 papers were ultimately selected for presentation and publication after a thorough review process, taking into account novelty, and the breadth and depth of research themes falling under the scope of FSDM. This resulted in an acceptance rate of 23.97%. Topics covered include fuzzy theory, algorithms and systems, fuzzy applications, data mining and the interdisciplinary field of fuzzy logic and data mining.

Offering an overview of current research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.

Editor: Tallón-Ballesteros, A.J.
Pages: 438
Binding: softcover
Volume 358 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-346-1
ISBN online: 978-1-64368-347-8

Advanced Tools and Methods for Treewidth-Based Problem Solving

This book, Advanced Tools and Methods for Treewidth-Based Problem Solving, contains selected results from the author’s PhD studies, which were carried out from 2015 to 2021. For his PhD thesis, Markus Hecher received the EurAI Dissertation Award 2021 and the GI Dissertation Award 2021, amongst others.

The aim of the book is to present a new toolkit for using the structural parameter of treewidth to solve problems in knowledge representation and reasoning (KR) and artificial intelligence (AI), thereby establishing both theoretical upper and lower bounds, as well as methods to deal with treewidth efficiently in practice. The key foundations outlined in the book provide runtime lower bounds – under reasonable assumptions in computational complexity – for evaluating quantified Boolean formulas and logic programs which match the known upper bounds already published in 2004 and 2009.

The general nature of the developed tools and techniques means that a wide applicability beyond the selected problems and formalisms tackled in the book is anticipated, and it is hoped that the book will serve as a starting point for future theoretical and practical investigations, which will no doubt establish further results and gain deeper insights.

Author: Hecher, M.
Pages: 250
Binding: softcover
Volume 359 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-344-7
ISBN online: 978-1-64368-345-4

Augmenting Human Intellect

Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence

Hybrid human-artificial intelligence is a new research area concerned with all aspects of AI systems that assist humans, and vice versa. The emphasis is on the need for adaptive, collaborative, responsible, interactive and human-centered artificial intelligence systems that can leverage human strengths and compensate for human weaknesses while taking into account social, ethical and legal considerations. The challenge is to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in a variety of social settings.

This book presents the proceedings of the 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI2022), held in Amsterdam, The Netherlands, from 13 -17June 2022. HHAI2022 was the first international conference focusing on the study of AI systems that amplify rather than replace human intelligence by cooperating synergistically, proactively, responsibly and purposefully with humans. Scholars from the fields of AI, human computer interaction, cognitive and social sciences, computer science, philosophy, and others were invited to submit their best original work on hybrid human-artificial intelligence. The book contains 24 main-track papers, 17 poster and demo papers, and 1 Hackathon paper, selected from a total of 96 submissions, and topics covered include human-AI interaction and collaboration, co-learning and co-creation; learning, reasoning and planning with humans and machines in the loop; integration of learning and reasoning; law and policy challenges around human-centered AI systems; and societal awareness of AI.

The book provides an up-to-date overview of this novel and timely field of study, and will be of interest to all those working with aspects of artificial intelligence, in whatever field.

Editors: Schlobach, S., Pérez-Ortiz, M., Tielman, M.
Pages: 346
Binding: softcover
Volume 354 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-308-9
ISBN online: 978-1-64368-309-6

Artificial Intelligence Research and Development

Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence

Artificial intelligence has become an integral part of all our lives. Development is rapid in this exciting and far-reaching field, and keeping up to date with the latest research and innovation is crucial to all those working with the technology.

This book presents the proceedings of the 24th edition of CCIA, the International Conference of the Catalan Association for Artificial Intelligence, held in Sitges, Spain, from 19 – 21 October 2022. This annual event serves as a meeting point not only for researchers in AI from the Catalan speaking territories (southern France, Catalonia, Valencia, the Balearic Islands and Alghero in Italy) but for researchers from around the world. The programme committee received 59 submissions, from which the 26 long papers and 23 short papers selected for presentation at the conference by the 62 experts who make up the committee are included here. The book is divided into the following sections: combinatorial problem solving and logics for artificial intelligence; sentiment analysis and tekst analysis; data science, recommender systems and decision support systems; machine learning; computer vision; and explainability and argumentation. This book also includes an abstract of the invited talk given by Prof. Fosca Giannotti.

Providing a comprehensive overview of research and development, this book will be of interest to all those working in the field of Artificial Intelligence.

Editors: Cortés, A., Grimaldo, F., Flaminio, T.
Pages: 388
Binding: softcover
Volume 356 of Frontiers in Artificial Intelligence and Applications
ISBN print: 978-1-64368-326-3
ISBN online: 978-1-64368-327-0


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