Love Ekenberg's main research has been on finding models and computational procedures for the representation and evaluation of vague and numerically imprecise information. One of the issues has been to find procedures for enabling sets of autonomous agents to act rationally and co-operatively in order to achieve common goals. Whilst investigating the logical properties of such systems, he has also developed methods for handling semantic differences between sets of logic schemata, particularly in the context of goal conflicts. An area in connection with this has been finding ways to achieve transformations of process models into various extensions of first order logic, following which their various mathematical properties can be studied. Ekenberg has worked as project leader, manager and coordinator of major national and international IT projects, and has published numerous research papers on formal methods as well as risk and decision analysis. He is Ph.D. and Full Professor in Computer and Systems Sciences at Stockholm University as well as Full Professor in Computer Science at Mid Sweden University.

E-mail: lovek@dsv.su.se