Machine Learning and Artificial Intelligence: The Basis of Intelligent Machines in the Cyber Economy

Roman V. Shamin () and Natalia B. Brazhnikova
Additional contact information
Roman V. Shamin: MIREA – Russian Technological University
Natalia B. Brazhnikova: RUDN University

A chapter in The Cyber Economy, 2019, pp 117-123 from Springer

Abstract: Abstract The chapter considers the issues of mathematical description and formalization of autonomous intelligent machines functioning in economic systems. A definition of intelligent machines in the cyber economy is given. It is shown that intelligent machines could be effectively used to solve various economic tasks. We employ the tools of finite-state machines and game theory to describe intelligent machines in the cyber economy and illustrate the importance of machine learning and the methods of AI. It is determined that the best AI method is conformation learning that fully corresponds to the architecture of intelligent machines in the cyber economy. The authors show the importance of the creation of unified standards for describing the interfaces of intelligent machines.

Keywords: Machine learning; Intelligent machines; Cyber economy; Finite-state machines; Game theory; Internet of Things; C630 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-3-030-31566-5_12

Ordering information: This item can be ordered from
http://www.springer.com/9783030315665

DOI: 10.1007/978-3-030-31566-5_12

Access Statistics for this chapter

More chapters in Contributions to Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().