Services aux conférences Mandl

Résumé: Negotiation is a complex and sometimes emotional decision-making process aiming to reach an agreement to exchange goods or services. Although a daily activity, extensive research has shown that few people are effective negotiators. Current state of the art negotiation support systems can help make a significant improvement in negotiation performance. In particular, when the negotiation space is well-understood such systems can make a difference, partly because machines can much better deal with the computational complexity involved. However, the negotiation space can only be properly developed if the human parties jointly explore their interests. The inherent semantic problem and the emotional issues involved make that negotiation cannot be handled by artificial intelligence alone, and a human-machine collaborative system is required. Such systems are not only to support humans in providing strategic advice but also in coping with emotions and moods in human-human interactions.

In order to develop human-machine collaborative negotiation support systems there is a need for the development of computational models, frameworks, and experimental and user-centred methods that enable the engineering of negotiation support systems. It is important for this purpose to study the role of human factors in negotiation as well as computational models to enable intelligent support for negotiation. To develop the next generation of negotiation support systems there are still many, diverse challenges: models of (qualitative, incomplete) preferences, preference change and strategies, preference elicitation, assessment methods for negotiation performance, learning and adaptativeness in negotiation, models of emotion and user awareness, the use and creation of domain knowledge, user interfaces for negotiation support, human-supported assessment of opponent, conflict handling styles, experimental methods.

Résumé: The 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL-09) covers a broad spectrum of disciplines working towards enabling intelligent systems to interact with humans using natural language, and towards enhancing human-human communication through services such as speech recognition, automatic translation, information retrieval, text summarization, and information extraction.

Résumé: The 34th ICASSP will be held in Taiwan April 19-24, 2009. The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.

Résumé: Since the end of the Cold War, the threat of large scale wars has been substituted by new threats: terrorism, organised crime, trafficking, smuggling, proliferation of weapons of mass destruction. To react to them, a security strategy is necessary, but in order to be effective it requires several instruments, including technological tools. Consequently, research and development in the field of security is proving to be an ever-expanding field all over the world.

In the last few years, several public initiatives involving data mining in security research have been proposed both in the USA and in Europe, after a series of European Commission initiatives.

The International Conference on Data Mining started in 1999 and since then has evolved to take into account these new initiatives. In fact, data mining is seen more and more not only as a key technology in business, engineering and science but as one of the key features in security. To stress that all these technologies must be seen as a way to improve not only the security of citizens but also their freedom, special attention will be given to data protection research issues.