Kai-Uwe Kühnberger
Kai-Uwe Kühnberger, Ph.D. is Professor for Artificial
Intelligence at the University of Osnabrück.
Kai-Uwe is interested in logic, algebraic and coalgebraic methods,
theory of
neural networks, theory of anti-unification, heuristic-driven theory
projection, and information theory.
Applications he is interested in are: ontology design, analogical
reasoning,
neural-symbolic integration, knowledge representation, (non-classical)
inferences, natural language semantics, natural language processing,
ICALL systems, and philosophical foundations of AI.
He coauthored
Learning Symbolic Inferences with Neural Networks,
Ontological Aspects of Computing Analogies,
Explaining Effective Learning by Analogical Reasoning,
Aspects of Automatic Ontology Extension: Adapting and Regeneralizing
Dynamic Updates,
An Algebraic Framework for Solving Proportional and Predictive
Analogies,
Feature Constraint Logic and Error Detection in ICALL
Systems,
Automatic Ontology Extension: Resolving Inconsistencies,
Solving Predictive Analogy Tasks with Anti-Unification,
Using Gestalt Principles to Compute Analogies of Geometric
Figures, and
Sustainability of Text-Technological Resources.
Kai-Uwe earned his Ph.D. with the thesis
Formal Frameworks for Circular Phenomena. Possibilities of Modeling
Pathological Expressions in Formal and Natural Languages at
Universität Tübingen, Germany in 2001.
Watch
Catalyzing the Coming AGI Renaissance – AGI-08 Discussion
Session and
Learning from Inconsistencies in an Integrated Cognitive
Architecture.