A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems

Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult task. Interpretations may depend on a history of states and there may be more than one

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Editorial Board

H.-H. Bock, Aachen W. Gaul, Karlsruhe M. Vichi, Rome

Ph. Arabie, Newark D. Baier, Cottbus F. Critchley, Milton Keynes R. Decker, Bielefeld E. Diday, Paris M. Greenacre, Barcelona C. Lauro, Naples J. Meulman, Leiden P. Monari, Bologna S. Nishisato, Toronto N. Ohsumi, Tokyo O. Opitz, Augsburg G. Ritter, Passau M. Schader, Mannheim C. Weihs, Dortmund

Titles in the Series: E. Diday, Y. Lechevallier, and O. Opitz (Eds.) Ordinal and Symbolic Data Analysis. 1996

M. Schwaiger and O. Opitz (Eds.) Exploratory Data Analysis in Empirical Research. 2003

R. Klar and O. Opitz (Eds.) Classification and Knowledge Organization. 1997

M. Schader, W. Gaul, and M. Vichi (Eds.) Between Data Science and Applied Data Analysis. 2003

C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.-H. Bock, and Y. Baba (Eds.) Data Science, Classifaction, and Related Methods. 1998

H.-H. Bock, M. Chiodi, and A. Mineo (Eds.) Advances in Multivariate Data Analysis. 2004

I. Balderjahn, R. Mather, and M. Schader (Eds.) Classification, Data Analysis, and Data Highways. 1998

D. Banks, L. House, F.R. McMorris, P. Arabie, and W. Gaul (Eds.) Classification, Clustering, and Data Minig Applications. 2004

A. Rizzi, M. Vichi, and H.-H. Bock (Eds.) Advances in Data Science and Classification. 1998

D. Baier and K.-D. Wernecke (Eds.) Innovations in Classification, Data Science, and Information Systems. 2005

M. Vichi and O. Optiz (Eds.) Classification and Data Analysis. 1999

M. Vichi, P. Monari, S. Mignani, and A. Montanari (Eds.) New Developments in Classification and Data Analysis. 2005

W. Gaul and H. Locarek-Junge (Eds.) Classification in the Information Age. 1999 H.-H. Bock and E. Diday (Eds.) Analysis of Symbolic Data. 2000 H. A. L. Kiers, J.-P. Rasson, P.J.F. Groenen, and M. Schader (Eds.) Data Analysis, Classification, and Related Methods. 2000 W. Gaul, O. Opitz, M. Schader (Eds.) Data Analysis. 2000 R. Decker and W. Gaul (Eds.) Classification and Information Processing at the Turn of the Millenium. 2000 S. Borra, R. Rocci, M. Vichi, and M. Schader (Eds.) Advances in Classification and Data Analysis. 2000 W. Gaul and G. Ritter (Eds.) Classification, Automation, and New Media. 2002 K. Jajuga, A. Sokolowski, and H.-H. Bock (Eds.) Classification, Clustering and Data Analysis. 2002

D. Baier, R. Decker, and L. Schmidt-Thieme (Eds.) Data Analysis and Decision Support. 2005 C. Weihs and W. Gaul (Eds.) Classification - the Ubiquitous Challenge. 2005 M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger, and W. Gaul (Eds.) From Data and Information Analysis to Knowledge Engineering. 2006 V. Batagelj, H.-H. Bock, A. Ferligoj, and A. Žiberna (Eds.) Data Science and Classification. 2006 S. Zani, A. Cerioli, M. Riani, M. Vichi (Eds.) Data Analysis, Classification and the Forward Search. 2006 P. Brito, P. Bertrand, G. Cucumel, F. de Carvalho (Eds.) Selected Contributions in Data Analysis and Classification. 2007 R. Decker, H.-J. Lenz (Eds.) Advances in Data Analysis. 2007 C. Preisach, H. Burkhardt, L. Schmidt-Thieme, R. Decker (Eds.) Data Analysis, Machin