WALKING THROUGH THE AIR
Artificial Intelligence Research attempts to understand intelligent behaviour in a constructive way by building computational models of observing and learning, problem solving and decision making, planning and acting, natural language understanding and so on. My own research amounts to walking through some parts of AIR, namely those touching advanced forms of problem solving. This includes topics such as constraint satisfaction, explanation generation, preference modeling, and reasoning with and about preferences. The insights gained through these studies not only allowed me to build intelligent software systems for tasks such as configuration and scheduling, but also helped me to better understand processes and mechanisms in the social world around me. ►
Science
QuickXplain
AAAI 2004
Outer Branching
MOPGP 2006
Open World Preferences
ADT 2009
Preference Reversal
LNCS 9060
Services
- IJCAI-ECAI 2018
- IJCAI 2019
- AAAI 2020
- M-PREF 2020
- IJCAI 2020
DISCLAIMER
This web site expresses personal reflections about scientific topics with the purpose of contributing to discussions in scientific communities. As such, this content is not related to any organization, association, or employment.