Dominik Belter

2012 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence

Dr. Dominik Belter, Poznań University of Technology
Gait control of the six-legged robot on a rough terrain using computational intelligence learning and optimization methods
Supervisor: Prof. Piotr Skrzypczyński

The dissertation addresses the problem of planning the motion of a six-legged robot walking in rough and previously unknown environments. The robot does not have a map of the terrain in advance, thus it has to use a dedicated measurement system. The analytical methods which are used to control the robot are supported by computational intelligence learning and optimization methods.



Piotr Andruszkiewicz

Honourable mention in the competition for the 2012 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence

Dr. Piotr Andruszkiewicz, Warsaw University of Technology
Privacy Preserving Classification and Association Rules Mining over Centralised Data
Supervisor: Prof. Marzena Kryszkiewicz

The thesis is devoted to privacy preserving classification and association rules mining over centralised data distorted with randomisation-based methods which modify individual values at random to provide an expected level of privacy. The new privacy preserving solutions proposed in the thesis reduce time complexity of association rules mining, enable miners to use ordered attributes and achieve higher accuracy of classification.



Szymon Chojnacki

Honourable mention in the competition for the 2012 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence

Dr. Szymon Chojnacki, Institute of Computer Science, Polish Academy of Sciences
Analiza technicznych własności systemów rekomendujących za pomocą grafów losowych
Supervisor: Prof. Mieczysław Kłopotek

I evaluate technical properties of recommender systems. Such systems are used in e-commerce. Their task is to propose interesting items for a particular user. One of largest problems in using recommender systems is long time of preparing a recommendation. I evaluate this problem and propose new techniques of assessing the complexity of recommender systems. I also propose new methods of implementing the algorithms.



Przemysław Więch

Honourable mention in the competition for the 2012 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence

Dr. Przemysław Więch, Warsaw University of Technology
Distributed Default Reasoning in the Semantic Web
Supervisor: Prof. Henryk Rybiński

The dissertation presents a novel approach to distributed reasoning in a multi-agent system, in which the agents' knowledge bases are expressed in the language of description logic with defaults. The thesis proposes a formalism of default transformations, which can be used for passing messages containing transformed defaults between agents. This solution allows for efficient message passing and avoids reaching conclusions based on assumptions that are accepted too early.



 
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