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Some topics for BA and MA theses
Computational Storytelling using MultiAgent Simulation  
To model computational creativity in the domain of stories, one first needs to develop a computational representation for these multifaceted and dynamic works of ingenuity. We approach this by representing a narrative's storyworld and characters as a multiagent simulation system. The plot of a story, in this case, emerges from the (inter) actions of the system's agents in combination with the internal events in the agents' reasoning cycles: the plans, beliefs, desires and emotions that make them act and react in certain ways.

Heuristics for theory projection in analogical reasoning  
HeuristicDriven Theory Projection (HDTP) is a framework for analogical reasoning currently under development at the IKW. It works in two stages by first identifying common structures in the modelling of two different domains and then transferring knowledge und proposing new conclusions.  
The semantics of theory projection  
HeuristicDriven Theory Projection (HDTP) is based on an extended form of antiunification of logical theories. It introduces certain secondorder elements which seem to be wellfounded on a syntactic level but whose semantics needs to be further investigated. A thesis should develop a model theoretic semantics and show its applicability in the description of analogies.  
Design and implementation of the Structure Mapping Theory  
The structure mapping theory by D. Gentner is a wellknown psychological theory for finding analogies and making analogical inferences. Although it is today's most prominent approach for analogies, the existing implementation of the structure mapping theory from the 1980s uses rather old technology.  
A classification of analogies  types, fields of applications  
Humans use analogies in different situations and for different purposes. In science, new problems are understood and explained via analogies by wellknown phenomena. Analogies are also used in education: e.g. mathematical operations on polynomials can be explained via analogies to operations on natural numbers. Analogies and metaphors are very important stylistic devices in linguistics, e.g. in poems, tales and fairy stories. We use analogies in our everyday life to solve new problems.  
Comparing analogy models  
HeuristicDriven Theory Projection (HDTP) is a framework for analogical reasoning currently under development at the IKW. The representation is essentially logicbased. HDTP works in two stages by first identifying common structures in the modelling of two different domains and then transferring knowledge und proposing new conclusions.  
Analogical reasoning and learning  
Analogy making is the process by which humans extract operators used to solve one problem and map them onto a solution for another problem. The thesis shall investigate experimentally the human way of analogical reasoning and learning.  
Learning firstorder logical theories with neural networks in reasoning processes  
The wellknown gap in Cognitive Science and Artificial Intelligence between symbolic and subsymbolic modelings seems to be a hard problem. An approach developed at the IKW to bridge this gap in one direction uses a translation of logical theories to a semisymbolic representation, namely to socalled Topos theory. This representation is homogeneous, variablefree, and uses only one inherent operation (concatenation of arrows). The semisymbolic level can be used to train a feedforward neural network that is not only learning the logical input theory, but rather the logical closure of this theory, i.e. a model of the underlying theory.  
Comparing algebraic frameworks used in AI  
Rulebased and procedural approaches are dominating the field of reasoning in artificial intelligence. Examples are methods used for inductive, casebased, or qualitative reasoning. Alternatively, algebraic approaches can be used. Such approaches focus on structural representations and provide a powerful and formally sound foundation for inference algorithms. Examples are the usage of antiunification in analogy and induction or relational algebras for qualitative reasoning.  
Assessment of solutions for programming assignments in PROLOG and LISP  
Assessing assignments and exams produces a big workload for lecturers and tutors.  
Intensions as Algorithms  
Flexible Knowledge Basis for Heterogeneous Data  
With the Problem of handling big heterogeneous (Web based) data new approaches of storing, retrieving, 