Prof. Dr. Rear Admiral (R) Nurhan Kâhyaoğlu penned an article for MarineDeal News readers entitled Artificial Intelligence Engineering and Sustainable Maritimization Model Based on Artificial Intelligence which deals with the relationship between artificial intelligence and maritime power
In order to understand Artificial Intelligence (AI) analysis, first of all let’s search the Turkish Linguistic Society (TDK) Dictionary and the Cambridge Dictionary online for to understand the meanings of the related terms.
Artificial: Made by human, often as a copy of something natural or produced by analogy with examples in nature.
Intelligence: All of human’s ability to think about things, to think to learn, understand the reason(s), perceive objective facts, judge and draw conclusions; intellect, acumen, ingenuity, foresight
Mind: Someone’s memory or their ability to think, the power of thinking, understanding and comprehension the reason; counsel, the recommended way; thought, idea; memory, feel emotions, and be aware of things.
I looked up this word because I was wondering why the term Artificial Mind is not used instead of Artificial Intelligence. I think the reason is that the expression ‘mind’ also means ‘opinion’, ’the result one believes’, ‘the thought believed’.
Computer: An electronic device that performs and concludes a task consisting of a large number of arithmetic or logical operations according to a given program, electronic brain. Here, although I do not agree with the definition of “electronic brain”, I consider that the Turkish word that best describes the word the “computer” is “computer”. In short; ‘Computer’ is an electronic machine that can store and arrange large amounts of information.
Artificial Intelligence-AI: According to Oracle; systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. For example: chat bots, smart assistants that extract critical information from large datasets to improve timing, recommendation engines, etc. In summary; AI is about super powered thinking and data analysis capability and process, designed to enhance human capabilities and human contributions to processes; not to replace humans in all matters. Therefore, it is a very valuable commercial element. So it may be related as ‘Artificial Intelligence’ is the study and development of computer systems that do jobs that previously needed human intelligence.
Let’s take a deep breath and release! AI, in other words computers or robots or machines are a business entity not designed to replace humans in all matters but make their job easier. It means that AI will not be able to take control of the world. The control will always be with us the humans. All joking aside, since AI, which is actually an engineering product, depends on huma’s will, it should be emphasized where and how it can be applied effectively. For this reason, AI and AI application examples should be well understood. The aim of this article is to give an idea about how AI can be applied, especially in holistic maritime power.
Now, let’s add a few more related terms and concepts to expand the subject; data science, databases, data mining, statistics, clustering analysis, artificial neural networks, deep learning, theory of algorithm, genetic algorithm, machine learning, artificial learning, smart machines, fuzzy logic, decision making theory, decision support systems, decision trees, multilayer sensors, classification systems, classification algorithm-Naive Bayes… You can improve this list. All these terms are associated with AI. The most influential aspect of AI is that the different applications of AI are based on only a few different algorithms.
For example, the Naive Bayes algorithm is used in the health sector with a holistic approach; it is discussed in open sources that there is a learning algorithm that can diagnose the patient in a very short time when disease symptoms, test results of the patient, and special information about the patient are used as data.
Let’s now discuss the relationship between AI and the sustainable maritimization. What is Maritime Power, what does it mean? Is it the state of being a sailor or the ability to sail the seas? Does sea power means the naval power? Why can’t the two notions be used together for the same concept? There are many valuable hypotheses and theories on this subject. Can we give the same answers for the same questions to those notions; e.g. “What is the difference between Maritime Power and Sea Power? Different people may give different answers for these questions. Is there or isn’t there a common definition or agreement? The answer to this question will not be unique. In the open literature, it is seen that there is no semantic unity of the definitions and put forward concepts related to maritime theory. It is noteworthy that there is a hidden ambiguity or semantic difference between these concepts. Some of the authors prefer to use the expressions “sea power” in the sense of “maritime power” or “naval power” in the sense of “sea power”. These differentiations make it difficult to reach a common understanding and to communicate between those who are interested in the subject. Some theorists have also developed “input-output” (artificial neural network) models to analyze and interpret the meaning of maritime components, maritime power to address maritime theory more broadly.
Now the question is; ‘is it sufficient to have the characteristics specified in all these concepts known in the literature in order to become a maritime country?’ Should you have them all sufficiently or how you should have them all together?
Which should come first? Which is more important? The answer to these questions will not be unique and sufficient, because being a maritime country; it is not only possible to sail on the sea routes and/or to have the ability/opportunities to protect these roads and nearby coasts, but also by constantly developing, improving, arranging, renewing and expanding all the components of maritime. The process of becoming a maritime country/state is not a concept that can be completed and shelved at any time. For sustainable maritimization; instead of many components, a “holistic” model should be applied, which considers maritime power as a ‘stand-alone phenomenon’, including the interactions of each component with each other.
Holistic model, in the ‘Blue Homeland’ should cover everything related to the seas/waters, in the most general sense; geographically, oceanographically, geomorphologically, atmospherically; including the sea surface, the layer above the sea surface, and below the sea surface and the sea floor, including the deep sea bottom structure. In this context, one may define the sustainable maritime phenomenon as a resultant of the components ‘maritime economy’, ‘maritime vision’, ‘maritime culture’, ‘naval power’ and ‘maritime education’. The combination of these elements must be deemed as “puzzle game”. If any of these components and/or one of their subcomponents is missing, the model cannot be built. So the aim for a sustainable maritimization is to create a holistic single model instead of many models.
Therefore, a logical model in which the interaction of all components related to a sustainable maritimization can be evaluated simultaneously by an approach that includes all those concepts in the definition of maritimization and does not exclude any maritime-related concept, “The Holistic Maritimization Model”.
By this master model, the first results of studies with inferential statistical methods using the data obtained from the open literature for the components of maritimization showed that the main outputs of maritime power are enrichment, widening and deepening of security areas in seas/waters, and innovative- free thinking abilities. From the results, it is obvious that the countries that have created their maritime power with the components mentioned above holistically sustain their maritimization process (Çetin, Irak, Kâhyaoğlu, 2020).
As a conclusion; maritimization, which is the dominant dynamic of globalization, should be considered as a stand-alone phenomenon with a holistic approach. For this reason, it is necessary to have an integrative public authority such as the “Ministry of Maritime Affairs” for the development of maritime, which must be national ideal of any country for “Sustainable Maritimization”. However, for some coastal countries, it is understood that such a public authority could not be institutionally structured due to bureaucratic, political, economic and technical cyclical reasons.
In this respect, steps must be taken by the countries, with the support of scientists, academic and related institutions and organizations dealing with AI, all maritime-related institutions and organizations (including maritime components covering all capabilities). According to the data collected as input, information for a ‘Decision Support Master Algorithm for Sustainable Maritimization’ should then be developed based on artificial intelligence engineering which iteratively creates continuous improvement outputs (knowledge) by evaluating the evolving nature of the seas.
References:
- Oktay Çetin, Deniz Mehmet Irak & Nurhan Kahyaoğlu; ‘A Comprehensive Model for a Sustainable Maritimization: 3-Layer Holistic Maritimization Model’, Maritime Policy & Management 47:8, 1064-1081, DOI: 10.1080/03088839.2020.1744756, 2020.
- Kahyaoğlu, N., Master Algorithm for Sustainable Maritimization; Holistic Maritime Power and Maritimization Model,2022.
- https:// www.nkconsultum.com/blog n https://www.marinedealnews. com/yapay-zeka-ve-butuncul- denizcilik-alaninda-uygulanabilirligi- dijital-denizcilik-bakanligina- ilk-adim/
- https://www.oracle.com/en/ artificial-intelligence/what-is-artificial- intelligence
- https://sozluk.gov.tr/?kelime
- https://dictionary.cambridge. org/en/
- NOTE: All or part of this article cannot be used or published without showing the source. Even if the source is shown, it can be used by giving an active link. Legal action will be taken against those who publish without citing the source and without providing an active link.
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