Teaching Human Reasoning to Artificial Intelligence in a Maritime Context: The convoy method
Minakova, Daria (2021)
Minakova, Daria
2021
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021062316600
https://urn.fi/URN:NBN:fi:amk-2021062316600
Tiivistelmä
Artificial intelligence (AI) is a complex system that requires the right approach for education. This thesis aims to propose a new idea of a learning environment for autonomous vessels. In other words, developing the convoy method based on the “mother” and “daughter” relationship inside the safe transit corridor. The purpose of the thesis is to research how suitable is the combination of convoy method approach inside the safe transit corridor. In other words, is a safe transit corridor a good option for the learning environment of AI, and in which regions this could be implemented.
Qualitative research and interviews were selected as the method for this thesis. Participants were interviewed individually via Teams. Firstly, a description of the proposed learning method was presented to them. The object was to familiarize them with the components, elements, and techniques of the proposed learning environment. Then all interviewees were asked the same questions, and they had the freedom to express their own opinion about the presented method.
The idea of this kind of learning environment received positive feedback. As a result, it was discovered that participants support the further development of the concept and would be glad to see it happening. Some aspects regarding the advantages and disadvantages of implementing the convoy method approach inside the safe transit corridor as the learning environment for AI were discussed. In conclusion, this idea of the learning method approach could become a starting point or provide the readers with new ideas.
Qualitative research and interviews were selected as the method for this thesis. Participants were interviewed individually via Teams. Firstly, a description of the proposed learning method was presented to them. The object was to familiarize them with the components, elements, and techniques of the proposed learning environment. Then all interviewees were asked the same questions, and they had the freedom to express their own opinion about the presented method.
The idea of this kind of learning environment received positive feedback. As a result, it was discovered that participants support the further development of the concept and would be glad to see it happening. Some aspects regarding the advantages and disadvantages of implementing the convoy method approach inside the safe transit corridor as the learning environment for AI were discussed. In conclusion, this idea of the learning method approach could become a starting point or provide the readers with new ideas.