Bionically Inspired Information Representation
de Zeilinger, Heimo
État : Neuf
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This work focuses on the first ever realization of neuropsychoanalytic concepts for generating and processing mental data structures in cognitive science and compares said approach to established bionically inspired methodologies. An existing decision unit is supplemented with an information representation system. By use of a top-down design approach, the resulting adaptations are introduced into a new model whose implementation in embodied software agents produces the computational framework ARSi10. The multi-agent framework-based simulator 'Bubble World' is developed as a test-bed with predefined use cases, and the agents' abilities are evaluated through internal and external performance indicators. These show the benefits of the developed system. Internal and external sensor data are mapped to neuropsychoanalytically inspired data structures and used for the decision making process. This allows the agents to interact with their environment while keeping their system resources balanced and thus retaining their functional abilities.
Détails du produit
... started the PHD program at the Vienna University of Technology in 2003 and has been project assistant at the Institute of Computer Technology since 2006. His research includes safety critical voice communication systems as well as cognitive science and building automation where he obtains the doctroal degree in December 2010.
Nombre de pages:
Type de média:
Südwestdeutscher Verlag für Hochschulschriften
Données de base
Livre de poche
Date de publication:
5 septembre 2011
Dimensions du colis:
0.22 x 0.15 x 0.011 m; 0.34 kg