=Paper=
{{Paper
|id=Vol-1869/abstract-2
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1869/abstract-2.pdf
|volume=Vol-1869
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==None==
Symbolic models and computational properties of
constructive reasoning in cognition and creativity
Tarek R. Besold
Digital Media Lab
Center for Computing and Communication Technologies (TZI)
University of Bremen, Germany
tarek.besold@uni-bremen.de
Abstract
Analogy is one of the most studied forms of non-classical reasoning
working across different domains, usually taken to play a crucial role
in creative thought and problem-solving. In the first part of the talk, I
will introduce general principles of computational analogy models (re-
lying on a generalisation-based approach to analogy-making). We will
then have a closer look at Heuristic-Driven Theory Projection (HDTP)
as an example for a theoretical framework and implemented system:
HDTP computes analogical relations and inferences for domains which
are represented using many-sorted first-order logic languages, apply-
ing a restricted form of higher-order anti-unification for finding shared
structural elements common to both domains. The presentation of
the framework will be followed by a few reflections on the cognitive
plausibility of the approach motivated by theoretical complexity and
tractability considerations. In the second part I will touch upon sev-
eral applications of HDTP to modeling important cognitive capacities,
including concept blending processes as current hot topic in Cognitive
Science.
Copyright c by the paper’s authors. Copying permitted for private and academic purposes.
In: A.M. Olteteanu, Z. Falomir (eds.): Proceedings of ProSocrates 2017: Symposium on Problem-solving, Creativity and Spatial
Reasoning in Cognitive Systems, at Delmenhorst, Germany, July 2017, published at http://ceur-ws.org