Elements applications of artificial intelligence in transport and logistics - Dmitry Abramov, Alexander Korpukov

Elements applications of artificial intelligence in transport and logistics

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Abramov Dmitry, an innovative and talented individual currently studying at Moscow Polytechnic University. With a passion for technology and a keen eye for detail, Dmitry's projects and research contributions have garnered praise and recognition within the academic community.

Korpukov Alexander, a dedicated and ambitious student of Pirogov Russian National Research Medical University. Alexander's strong analytical skills and deep understanding of the medical field have propelled him to excel in his studies and research endeavors. His passion for improving healthcare has led him to actively participate in various projects aimed at advancing medical practices.

Shmal Vadim, a distinguished scholar hailing from the Federal State Autonomous Educational Institution of Higher Education "Russian University of Transport." Vadim's profound knowledge of transportation systems and logistics has positioned him as a respected authority in the field. His innovative solutions and strategic approaches have significantly contributed to the optimization and efficiency of transportation networks.

Minakov Pavel, an accomplished student also from the Federal State Autonomous Educational Institution of Higher Education "Russian University of Transport." Pavel's strong work ethic and problem-solving abilities have earned him recognition among his peers and professors. His extensive research in the field of transportation engineering has yielded practical and sustainable solutions that have positively impacted the industry.

Together, Abramov Dmitry, Korpukov Alexander, Shmal Vadim, and Minakov Pavel represent a diverse group of talented individuals from different educational institutions, each making their unique contributions to the academic and professional world. Their passion for learning, dedication to their respective fields, and innovative thinking make them valuable assets to the academia and beyond.

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© Dmitry Abramov, 2021

© Alexander Korpukov, 2021

© Vadim Shmal, 2021

© Pavel Minakov, 2021


ISBN 978-5-0055-6674-4

Created with Ridero smart publishing system

The emergence of the science of artificial intelligence

Artificial intelligence (AI) is intelligence displayed by machines, as opposed to natural intelligence displayed by humans and animals. The study of artificial intelligence began in the 1950s, when systems could not perform tasks as well as humans. Artificial intelligence is the overall goal of building a system that exhibits intelligence, consciousness and is capable of self-learning. The most famous types of artificial intelligence known as machine learning, which is a kind of artificial intelligence, and deep learning.

The development of artificial intelligence is a controversial area as scientists and policymakers grapple with the ethical and legal implications of creating systems that exhibit human-level intelligence. Some argue that the best way to promote artificial intelligence is through education to prevent it from bias against people and make it accessible to people from all socioeconomic backgrounds. Others fear that increased regulation and concerns over national security will hamper the development of artificial intelligence.

Artificial intelligence (AI) originated in the 1950s, when scientists believed that machines could not exhibit intelligent behavior that the human brain could not reproduce. In 1962, a team at Carnegie Mellon University led by Terry Winograd began work on universal computing intelligence. In 1963, as part of the MAC project, Carnegie Mellon created a program called Eliza, which became the first machine to demonstrate the ability to reason and make decisions like humans.

In 1964, IBM researcher JCR Licklider began research in the computer science and cognitive sciences with the goal of developing intelligent machines. In 1965, Licklider coined the term «artificial intelligence» to describe the entire spectrum of cognitive technologies that he studied.

Scientist Marvin Minsky introduced the concept of artificial intelligence in the book «Society of Mind» and foresaw that the field of development of science goes through three stages: personal, interactive and practical. Personal AI, which he considered the most promising, would lead to the emergence of human-level intelligence, an intelligent entity capable of realizing its own goals and motives. Interactive AI will develop the ability to interact with the outside world. Practical AI, which he believed was most likely, would develop the ability to perform practical tasks.

The term artificial intelligence began to appear in the late 1960s when scientists began to make strides in this area. Some scientists believed that in future, computers would take on tasks that were too complex for the human brain, thus achieving intelligence. In 1965, scientists were fascinated by an artificial intelligence problem known as the Stanford problem, in which a computer was asked to find the shortest path on a map between two cities in a given time. Despite many successful attempts, the computer was able to complete the task only 63% of the time. In 1966, Harvard professor John McCarthy stated that this problem «is as close as we can in computers to the problem of brain analysis, at least on a theoretical basis».

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