scholarly journals Human-machine system as a control shell in the implementation of mooring operations

2021 ◽  
Vol 2061 (1) ◽  
pp. 012045
Author(s):  
S I Kondratyev ◽  
A L Boran-Keshishyan ◽  
A E Slitsan ◽  
V V Popov
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Human Factor ◽  
Mooring System ◽  
Mathematical Apparatus ◽  
Machine System ◽  
Complex Automation ◽  
Automatic Systems ◽  
Control Complex

Abstract Mooring is a complex and responsible process for a boat master, so modern trends determine the need to create automated and automatic systems for mooring vessels to minimize the human factor. The study researched the vessel ergatic control complex and the towing group with the use of mathematical apparatus in the implementation of mooring operations. The human-machine or “ergatic” system is the control shell under the active influences of the bridge complexes and is an auxiliary tool for the watchman on the navigation bridge. This is the essence – a human, as a controlling and observing link, is an integral part of the human-machine complex. Automation, even in systems with artificial intelligence, will not soon replace the flexibility of the human brain, despite possible and sometimes very serious human mistakes. Taking into account the fact that the automated mooring system applies all kinds of monitoring sensors to prevent docking impact, the control and responsibility for the mooring process still lie with the navigator operator.

The Oxford Handbook of Ethics of AI

2020 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Rapid Development ◽  
Data Driven ◽  
International Human Rights Law ◽  
Human Knowledge ◽  
Human Rights Law ◽  
Ai Ethics ◽  
And Behavior ◽  
Control Complex

This book explores the intertwining domains of artificial intelligence (AI) and ethics—two highly divergent fields which at first seem to have nothing to do with one another. AI is a collection of computational methods for studying human knowledge, learning, and behavior, including by building agents able to know, learn, and behave. Ethics is a body of human knowledge—far from completely understood—that helps agents (humans today, but perhaps eventually robots and other AIs) decide how they and others should behave. Despite these differences, however, the rapid development in AI technology today has led to a growing number of ethical issues in a multitude of fields, ranging from disciplines as far-reaching as international human rights law to issues as intimate as personal identity and sexuality. In fact, the number and variety of topics in this volume illustrate the width, diversity of content, and at times exasperating vagueness of the boundaries of “AI Ethics” as a domain of inquiry. Within this discourse, the book points to the capacity of sociotechnical systems that utilize data-driven algorithms to classify, to make decisions, and to control complex systems. Given the wide-reaching and often intimate impact these AI systems have on daily human lives, this volume attempts to address the increasingly complicated relations between humanity and artificial intelligence. It considers not only how humanity must conduct themselves toward AI but also how AI must behave toward humanity.

Predicting Graceful Extensibility of Human-Machine Systems: A New Analysis Method for Evaluating Extensibility Plots to Anticipate Distributed System Performance

2020 ◽  
Vol 64 (1) ◽  
pp. 313-318
Author(s):  
Dane A. Morey ◽  
Jesse M. Marquisee ◽  
Ryan C. Gifford ◽  
Morgan C. Fitzgerald ◽  
Michael F. Rayo
Keyword(s):  
Artificial Intelligence ◽  
Distributed System ◽  
System Performance ◽  
Healthcare Setting ◽  
Evaluation Methods ◽  
Performance Data ◽  
Analysis Method ◽  
Machine System ◽  
Machine Systems

With all of the research and investment dedicated to artificial intelligence and other automation technologies, there is a paucity of evaluation methods for how these technologies integrate into effective joint human-machine teams. Current evaluation methods, which largely were designed to measure performance of discrete representative tasks, provide little information about how the system will perform when operating outside the bounds of the evaluation. We are exploring a method of generating Extensibility Plots, which predicts the ability of the human-machine system to respond to classes of challenges at intensities both within and outside of what was tested. In this paper we test and explore the method, using performance data collected from a healthcare setting in which a machine and nurse jointly detect signs of patient decompensation. We explore the validity and usefulness of these curves to predict the graceful extensibility of the system.

scholarly journals Long- and Short-Term Conductance Control of Artificial Polymer Wire Synapses

Polymers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 312
Author(s):  
Naruki Hagiwara ◽  
Shoma Sekizaki ◽  
Yuji Kuwahara ◽  
Tetsuya Asai ◽  
Megumi Akai-Kasaya
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
High Speed ◽  
Conductive Polymer ◽  
Long Term Potentiation ◽  
Short Term ◽  
Synaptic Functions ◽  
Term Potentiation ◽  
Artificial Brain ◽  
External Stimuli

Networks in the human brain are extremely complex and sophisticated. The abstract model of the human brain has been used in software development, specifically in artificial intelligence. Despite the remarkable outcomes achieved using artificial intelligence, the approach consumes a huge amount of computational resources. A possible solution to this issue is the development of processing circuits that physically resemble an artificial brain, which can offer low-energy loss and high-speed processing. This study demonstrated the synaptic functions of conductive polymer wires linking arbitrary electrodes in solution. By controlling the conductance of the wires, synaptic functions such as long-term potentiation and short-term plasticity were achieved, which are similar to the manner in which a synapse changes the strength of its connections. This novel organic artificial synapse can be used to construct information-processing circuits by wiring from scratch and learning efficiently in response to external stimuli.

Artificial Intelligence II: The Human Factor

10.1111/an.6 ◽  
2016 ◽  
Vol 57 (6) ◽  
pp. e62-e63
Author(s):  
Vincent C. Paladino
Keyword(s):  
Artificial Intelligence ◽  
Human Factor

scholarly journals KECERDASAN BUATAN MANUSIA (ARTIFICIAL INTELLIGENCE); TEKNOLOGI IMPIAN MASA DEPAN

2018 ◽  
Vol 9 (2) ◽  
pp. 257-274
Author(s):  
Ririen Kusumawati
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Human Brain ◽  
Computer Technology ◽  
Computer Software ◽  
Software Tool ◽  
Human Form ◽  
Natural Approach ◽  
Collaborative Art ◽  
Software And Hardware

The computer technology has incredibly increased. Computer software and hardware compete to meet the customer's needs. The research intends to spread the knowledge of information technology, specifically, on the artificial intelligence. The concept of artificial intelligence is adopting and imitating human form, character, and habit which to be implemented on the computer. Using natural approach, the research aims to investigate whether artificial intelligence (AI) will produce the duplication of God's creation. Another important reason of other reseaches on AI is to create a computer which is smart and able to understand human brain working system. Hence, AI has been designed into more practical with faster CPU, cheaper mass memory, and sophisticated software tool. The concept of integrating AI science or collaborative art among sub-fields of technology will stimulate and lead to further AI researches, and it will be an interesting topic for AI researchers for developing AI technology in the future.

scholarly journals The next step for Artificial Intelligence in a globally connected economy

2021 ◽  
Vol 129 ◽  
pp. 04001
Author(s):  
Dumitru Alexandru Bodislav ◽  
Florina Bran ◽  
Carol Cristina Gombos ◽  
Amza Mair
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Factor ◽  
Value Added ◽  
Point Of View ◽  
Business Analytics ◽  
Economic Point ◽  
Technological Breakthrough ◽  
Big Picture ◽  
The Difference

Research background: This research paper represents an overview of what artificial intelligence is, what are its roots, and what is the next big thing regarding the domain. In this paper we try to highlight how the domain is growing and what is the difference between the ideology, the business factor and the human factor. We try to create a big picture on the entire phenomenon by creating a parallel between machine learning, artificial intelligence and the influence of technological breakthrough from a hardware perspective. Purpose of the article: The paper is built as a tool in understanding technology, globalization and the pathway to success and scientific glory for what can be seen as the industry of artificial intelligence. The tools presented in the research have the purpose to create an easier path to how we can develop this domain by accelerating theoretical processing and business analytics that come together to form the next level of machine learning/artificial intelligence; research and development, everything being filtered from an economic point of view. Methods: The used research method is based on fundamental analysis of the artificial intelligence domain and its purpose in the complexity of globalization and economic development. Findings & Value added: The paper tries to offer a tool for building a better understanding of the next decade in the domain of artificial intelligence.

Diagnosis and Evaluation

2017 ◽  
pp. 138-181
Author(s):  
Yury N. Kovalyov
Keyword(s):  
Decision Making ◽  
Complex Systems ◽  
Human Activity ◽  
Model Theory ◽  
Human Factor ◽  
Open Systems ◽  
Wave Model ◽  
Mathematical Apparatus ◽  
Accident Rate ◽  
Technical Systems

The accident free work of complex systems depends of the compatibility of their components. When it comes to socio-technical, this means the compatibility of the human factor with the environment and equipment, organized through a specific interface. At the same time, there is a certain contradiction: the modeling and design of equipment and interface is based on a classical mathematical apparatus, whereas its use for understanding human activity is confronted with the non-formalizability of many aspects of perception and decision-making. Elimination of this contradiction on the basis of the modeling apparatus, equally suitable for modeling all components of socio-technical systems, will open the way to improving the compatibility of components and reducing the accident rate. Therefore, the development of such a mathematical apparatus is an important problem. In this chapter is presented the modelling instrument, which is adequate to the composite open systems properties – axiomatic wave model, theory of self-organization, practical examples.

scholarly journals Processing Information in the Clouds

Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 25
Author(s):  
Mark Burgin ◽  
Eugene Eberbach ◽  
Rao Mikkilineni
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Human Brain ◽  
Incremental Learning ◽  
Computational Models ◽  
Higher Order ◽  
Turing Machines ◽  
New Paradigm ◽  
New Model ◽  
Processing Information

Cloud computing makes the necessary resources available to the appropriate computation to improve scaling, resiliency, and the efficiency of computations. This makes cloud computing a new paradigm for computation by upgrading its artificial intelligence (AI) to a higher order. To explore cloud computing using theoretical tools, we use cloud automata as a new model for computation. Higher-level AI requires infusing features of the human brain into AI systems such as incremental learning all the time. Consequently, we propose computational models that exhibit incremental learning without stopping (sentience). These features are inherent in reflexive Turing machines, inductive Turing machines, and limit Turing machines.

scholarly journals Automation and Robotization of Underground Mining in Poland

2020 ◽  
Vol 10 (20) ◽  
pp. 7221
Author(s):  
Łukasz Bołoz ◽  
Witold Biały
Keyword(s):  
Artificial Intelligence ◽  
International Research ◽  
Underground Mining ◽  
Mining Industry ◽  
Specific Character ◽  
Research Centers ◽  
Rescue Work ◽  
Machine System ◽  
Foreign Companies

The article concerns the condition of automation and robotization of underground mining in Poland. Attention has been focused on the specific character of the mining industry. This limits the possibility of using robotization, and sometimes even the mechanization of certain processes. In recent years, robotic and automated machines and machine system solutions have been developed and applied in Poland. They are autonomous to a various degree, depending on the branch. The type of automation and artificial intelligence depends on the specific use. Some examples presently being used include the MIKRUS automated longwall system and autonomous device(s) for breaking rocks or mining rescue work. In Poland, fully automated plow systems produced by foreign companies are also used. Companies in Poland and international research centers are also actively engaged in the development of underwater and space mining. where robotization is of key importance. Research is also being undertaken by Robotics in Mining, euRobotics and PERASPERA as well as Space Mining Conference.

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