This publication contains papers that present original results in business modeling and enterprise engineering, database research, data engineering, data quality and data analysis, IS engineering, Web engineering, and ...

For the past fifty years researchers have been striving to create machines that rival the thinking capacity of humans. In Artificial Intelligence learn how AI experts simulate the human brain and construct smart robots. ...

This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input ...

This book constitutes the refereed proceedings of the Third Hellenic Conference on Artificial Intelligence, SETN 2004, held at Samos, Greece in May 2004.The 54 revised full papers presented together with 2 invited contributions ...

Software is the essential enabler for the new economy and science. It creates new markets and new directions for a more reliable, flexible, and robust society. It empowers the exploration of our world in ever more depth. ...

In this unique contribution to philosophical debate, Craig DeLancey shows that our best understanding of emotion provides essential insight on key issues in philosophy of mind and artificial intelligence. DeLancey offers ...

Fighting Terror in Cyberspace is a unique volume, which provides, for the first time, a comprehensive overview of terrorist threats in cyberspace along with state-of-the-art tools and technologies that can deal with these ...

Currently, the structural complexity of information resources, the variety of abstraction levels of information, and the size of databases and knowledge bases are continuously growing. We are facing the complex problems ...

This book constitutes the thoroughly refereed joint post-proceedings of the 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and the 5th Conference on Technology Transfer, TTIA 2003, ...

This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used ...