The Nordic countries are traditionally strong in the application of new computer technology. This work represents the state of the art in some of the artificial intelligence areas currently subject to active R&D. International researchers present 24 papers in the following areas: automated reasoning; qualitative reasoning; machine learning; neural networks; and knowledge-based systems. Both basic and applied AI research are represented.
Artificial intelligence (AI) has featured widely in the news recently. It is vital to the continued development of computer science and informatics, and is indispensable for the effective functioning of a multitude of systems in fields such as medicine, economics, linguistics, philosophy, psychology and logical analysis, as well as industry. This book presents the proceedings of the 13th Scandinavian Conference on Artificial Intelligence (SCAI 2015), held in Halmstad, Sweden, in November 2015. SCAI is the main biennial conference for the AI research communities of Scandinavia, but also attracts the attendance of a wide range of international participants. The book features 17 accepted papers from the conference as well as extended abstracts describing the work of six Ph.D. students who presented their research-in-progress to a panel of experts in the doctoral symposium which forms part of the conference. A wide range of topics are covered, including machine learning, data mining, logical reasoning, robotics and planning, and the papers included here focus on both the theory and practical applications of AI. The book will be of interest to all those wishing to keep abreast of the latest developments in the field of AI.
Much has been said about managing herpesvirus infections since the discovery of acyclovir more than 15 years ago. This book aims to bring practical advice to the key clinician who is faced with managing these infections. It addresses questions like: there are antiviral treatments for many of these infections, but who should be getting these drugs and who should not? What are the advantages, if any, of the new drugs over the old ones? Which patients should be targeted for intervention? What is the clinical reality of antiviral resistance? Where do the up and coming vaccines fit into the picture? When should therapy be discontinued or reassessed? How are patients presenting other than chorioretinitis in AIDS or pneumonitis in transplantation? The contributing clinician scientists deal with these questions and many more. Listed by Biological Abstracts/RRM, BIOSIS, volume 48, issue 8, August 1995 Covered by Current Contents, Life Sciences (ISI), volume 39, no. 2, Januari 1996, p. 12
The theme of this book is Knowledge and Media in Learning Systems, and papers that explore the emerging roles of intelligent multimedia and distributed technologies as well as computer supported collaboration within that theme are included. The spread of topics is very wide encompassing both well- established areas such as student modelling as well as more novel topics such as distributed intelligent tutoring on the World Wide Web. Far from undermining the need to understand how learning and teaching interact, the newer media continue to emphasise the interdependence of these two processes. Collaboration and tools for collaboration are the major topics of interest. Understanding how human learners collaborate, how peer tutoring works and how the computer can play a useful role as either a more able of even a less able learning partner are all explored here.
Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs.
The major theme of this book is Intelligent Agents. An agent is a hardware or software system that is autonomous, interactive with and reactive to its environment and other agents. An agent can also be pro-active in taking the initiative in goal-directed behaviour. Intelligent Agents are one of the most important and exciting areas of research and development in computer science today.
Spatiotemporal models are emerging as a very important topic in several disciplines, including neurobiology and artificial neural networks. Many hard problems exist in this area. Examples include understanding the capabilities of nonlinear dynamical systems on a lattice and of networks of spiking neurons (both natural and artificial), training such systems, implementing them in hardware, understanding biological signals like the EEG, etc. Besides the state-of-the-art in the area of spatiotemporal models, the book also covers the neurobiological, and the artificial systems communities.
Information modelling is the essential part of information systems design. Design methods, specification languages, and tools tend to become application dependent, aiming at integration of methodologies stretching from traditional database design to knowledge bases, and including use of logical languages, and process oriented reactive systems description. The topics of the articles cover a wide variety of problems in the area of information modelling, information systems specification, and knowledge bases, ranging from foundations and theories to systems construction and application studies. The contributions are grouped into the following major categories: - Systems specification and information modelling schemes - User interfaces and multimedia - Knowledge organization database structuring - Formal systems - Knowledge and information - From conceptual modelling to software engineering - Description and organization of concepts and objects - Learning systems and applications This book is the eighth volume in the sub-series 'Information Modelling and Knowledge Bases'. This dates back to 1990 with annual publications now amounting to more than 200 reviewed articles. The current volume is intended for researchers, students and practitioners in the area of information systems.
Research on ontology is becoming increasingly widespread in the computer science community. While this term has been rather confined to the philosophical sphere in the past, it is now gaining a specific role in areas such as Artificial Intelligence, Computational Linguistics, and Databases. Its importance has been recognized in fields as diverse as knowledge engineering, knowledge representation, qualitative modeling, language engineering, database design, information integration, object-oriented analysis, information retrieval and extraction, knowledge management and organization, agent-based systems design. Current applications areas are disparate, including enterprise integration, natural language translation, medicine, mechanical engineering, electronic commerce, geographic information systems, legal information systems, and biological information systems. Various workshops addressing the engineering aspects of ontology have been held in the recent years. However, ontology by 'its very nature' ought to be a unifying discipline. Insights in this field have potential impact on the whole area of information systems (taking this term in its broadest sense), as testified by the interest recently shown by international standards organizations. In order to provide a solid general foundation for this work, it is therefore important to focus on the common scientific principles and open problems arising from current tools, methodologies, and applications of ontology.
