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DEVELOPMENT AND EXPERIMENTAL EVALUATION OF AN EMBODIED COGNITIVE MODEL FOR PILOTING OF AIR VEHICLES IN MISSION FLIGHTS
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TEZ-220323.pdf
Date
2023-2-27
Author
Kaygusuz, Yasin
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Various types of engineering methods have been successfully applied for the automated control of attitudes and flight of manned or unmanned air vehicles. Some of these methods included "pilot models," which are generally implemented in the form of transfer functions and are not necessarily cognitive in nature. Additionally, symbolic and connectionist pilot models have been developed to control the maneuvering of air vehicles. While some of these models have been successful, they are mostly focused on attitude control and do not take into account higher-level decisions such as attacking or chasing an opponent. The current modeling efforts in cognitive science do not provide enough information on the structure of those high-level decision-making processes. This study aims to create and test a dynamic cognitive fighter pilot model in a simulated environment that can make high-level decisions using the Neural Engineering Framework and employing spiking neuron models as encoding units. The model is connectionist, embodied, and situated and uses semantic pointers to decode the outputs into semantic wordings. The study also includes the comments and evaluation of real fighter pilots on the results of the model.
Subject Keywords
Spiking Neuron Networks, Neural Engineering Framework, NEF, Cognitive Pilot Model, Decision-making Model.
URI
https://hdl.handle.net/11511/102587
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Graduate School of Informatics, Thesis
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Y. Kaygusuz, “DEVELOPMENT AND EXPERIMENTAL EVALUATION OF AN EMBODIED COGNITIVE MODEL FOR PILOTING OF AIR VEHICLES IN MISSION FLIGHTS,” Ph.D. - Doctoral Program, Middle East Technical University, 2023.
