Claus-Rainer Rollinger

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This paper presents a model-dr iven method for machine learn ing of inference r u l e s , which involves bo th : ' l e a r n i n g by i n d u c t i o n ' and ' l e a r n i n g by being t o l d ' . By the use of higher concepts ( l i k e t r a n s i t i v i t y and convers i ty ) a t t r i b u t e s of and r e l a t i o n s among two-place predicates are(More)
Two topics are treated here First, we present a user model pattcrncd after the stereotype approach (Rich, 1979) This model surpasses Rich’s model with respect to its greater flexibility in the construction of user profiles, and its trcat,ment of positive and negative arguments. Second, we present an inference machine This machine treats uncertain knowledge(More)
In the first section we give a very short survey on current research on web-based ucational systems and related problems. Inthe second section we argue that knowledge r presentation and ontologies may offer solutions to basic problems inthis area. Since a wellfounded system of concepts, i.e. an ontology, will significantly advance knowledge sharing and(More)
The Dirty Dozen team consists of the player agents and an online coach. The players’ low-level-skills and world-model are based on the publicly available code of the CMU-99 team [1]. The team behavior is specified using a new strategy formalization language (SFL), an extension of the standard coach language. This allows to modify the behavior easily and(More)
Am Ende meiner Zeit als verantwortlicher Herausgeber der KI-Zeitschrift schrieb ich in der Ausgabe 4-98 in meinem letzten Editorial: „Ich kann nicht sagen, daß es mir mit der KI-Zeitschrift langweilig geworden ist. Sie hat – insbesondere in Verbindung mit dem FB KI – immer wieder für Überraschungen und Abwechslungen in meinem Leben gesorgt; auch zählten die(More)