Scandinavian Conference On Artificial Intelligence 89

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.

The Eighth Scandinavian Conference on Artificial Intelligence continues a tradition of being one of the most important regional AI conferences in Europe. Keith Downing focuses on the low road to artificial intelligence, that is, the development of AI through evolutionary artificial life approaches. The topics of the accepted papers range from multi-agent systems, robots, natural languages and machine learning to general knowledge-based systems and formal approaches to AI. This collection of papers together exemplifies the diversity of research in artificial intelligence today. Two of the invited speakers, both focus on vision, although each from slightly different viewpoints. One considers biological models for vision and its consequences for artificial vision, whereas the other considers the relation between real world objects and their internal representation in robots. The last keynote speaker, presents answer set programming, a new idea for declarative programming.

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.

Dealing with the theme of prospects for artificial inteligence as the general science of intelligence, this work covers a wide range of topics. It attempts to identify trends and projects into the future, instead of simply surveying past achievements.