Thesis available on Categorizatio

[Adriaan Tijsseling]

 The following thesis is available by anonymous ftp from ftp.phil.ruu.nl:
 
 	A Hybrid Framework for Categorization
 
 a Master Thesis by:
 
 	Adriaan Tijsseling,
 	Dept. of Cognitive Artificial Intelligence,
 	Faculty of Philosophy,
 	Utrecht University.
 
 The thesis is in the directory /pub/papers/tijsseling-Cat94.ps.Z
 Login as "anonymous" or "ftp" and use your email address as password.
 The file is 900 Kb compressed, 131 pages long.
 
 ABSTRACT:
 
 The thesis proposes a hybrid framework for categorization based on the
 framework by Stevan Harnad. First an extensive review is given of the 
 state of the art in categorization and categorical perception research.
 The theory approach to categorization is argued to be the most promising
 paradigm. Second, Harnad's framework is treated in which categorical 
 perception and higher order categorization is combined in one explanation
 model. I suggest a way to incorporate the theory approach.
 Third, this framework is related to the symbolic/connectionist paradigms. 
 I argue that a hybrid approach together with a sensori-motor component is 
 a best option sofar in implementing the framework. 
 A second part of the thesis investigates the connectionist part of the hybrid
 framework. Here neural networks consisting of several CALM Map modules (based
 on the Categorization and Learning Module) are trained to learn to topologically
 orden lines of various orientations. It is shown that this network exhibits
 categorical perception.
 
 Adriaan Tijsseling