On the design of scientific awareness systems in the field of the history of mathematics using multi-agent technologies
https://doi.org/10.22405/2226-8383-2022-23-5-172-187
Abstract
It is well known that modern historians of the physical and mathematical sciences have to devote a lot of time and effort to routine work related to the formation of a thematic database in the chosen field of research, as well as the search for primary sources and for the historical-scientific content (memoirs, letters, articles for anniversaries, etc.). Another laborintensive part of the researcher’s activity (regardless of the sphere of interests) is related to
scientific-organizational and scientific-methodological nature’s questions, such as participation in conferences and seminars, search for journals for publication, search for grants for financial support, etc. The development of the theory of expert systems and neural network algorithms made it possible to build electronic systems of scientific awareness in the field of the history of science, performing a significant part of the above tasks. This will allow to spend more time
to the main work of the scientist – obtaining new results. In accordance with the principles of knowledge engineering, it is proposed to include trained electronic agents with artificial intelligence in the structure of the scientific awareness system of the historian of mathematics, which will allow solving complex search problems, as well as forming databases and knowledge bases in the relevant subject area. The authors present a variant of the interface of the system of scientific awareness in the field of the history of mathematics, which includes a learning subsystem containing lecture material and information of an encyclopedic nature, as well as the
following functional blocks
- search;
- formation of databases of publications and primary sources;
- seminars and conferences;
- forums and social networks of scientists;
- grant support;
- formation of a database of universities implementing educational programs in the field of
history of mathematics;
- joint work on scientific projects.
About the Authors
Egor Mikhailovich BogatovRussian Federation
Artyom Viktorovich Korenev
Russian Federation
Ilya Sergeyevich Mikhailov
Russian Federation
References
1. The Oral History Association, Available at: https:www.oralhistory.org (accessed 30.02.2022).
2. A Wiki calls for papers. Available at: http://www.wikicfp.com/cfp/ (accessed 10.03.2022).
3. Avdeeva, N. V., Nikulina, O. V. & others 2014: Scientific search: methods of thematicallyoriented
4. search for scientific information. XVI Vseross. nauch. konf. RCDL-2014 “Elektronnye
5. biblioteki: perspektivnye metody i tekhnologii, elektronnye kollekcii“, pp. 237-241.
6. Alexandrov, P. S. 1964: On some basic directions in general topology. Uspekhi Mat. Nauk,
7. :6(120), pp. 3–46.
8. Bogatov E. M., Korenev A. V., Mikhailov I. S., 2021, About designing a system of scientific
9. awareness in the history of mathematics field. Dickstein Forum 2021, Cracow, Poland. Book of
10. abstracts, p.39, Available at:http://pau.krakow.pl/zaproszenia/2021/Dickstein_Forum_2021_
11. _14-17_abstacts.pdf.
12. Bogatov, E.M., Korenev, A.V. & Mikhailov, I.S. 2021: About the modern tools and methods
13. of scientific research conducting in the field of the history of mathematics, Taurida Journal of
14. Computer Science Theory and Mathematics, no. 3 (52). pp. 35 -57.
15. Gajfullin, B. N. & Tumanov, V. E. 2012: Subject-oriented systems of scientific awareness in
16. science and education, Sovremennye informacionnye tekhnologii i IT-obrazovanie, no. 8, pp.
17. -750.
18. Grattan-Guinness, I. 2003: Companion Encyclopedia of the History and Philosophy of the
19. Mathematical Sciences, 2 vols. Baltimore: J. Hopkins University Press, p. 1806.
20. Shtokalo, I. Z. 1966: Istoriya otechestvennoj matematiki. Vol. 1. Kiev: Naukova dumka, p. 493.
21. Shtokalo, I. Z. 1967: Istoriya otechestvennoj matematiki. Vol. 2. Kiev: Naukova dumka, p. 616.
22. Shtokalo, I. Z. 1968: Istoriya otechestvennoj matematiki. Vol. 3. Kiev: Naukova dumka, p. 726.
23. Shtokalo, I. Z. 1970: Istoriya otechestvennoj matematiki. Vol. 4. Kiev: Naukova dumka, p. 884.
24. Directory of Open Access Journals. Available at: https://doaj.org (accessed 16.12.2021).
25. Korenev, A. V. & Mikhailov, I. S. 2021: About the features of designing scientific awareness
26. systems in the field of the history of science. Innovacionnaya paradigma razvitiya sovremennoj
27. nauki: Sbornik statej II Mezhdunarodnoj nauchno-prakticheskoj konferencii. Petrozavodsk:
28. Mezhdunarodnyj centr nauchnogo partnerstva «Novaya Nauka», pp. 127-132.
29. Xi W., Fox E. A. 2001: Machine Learning Approach for Homepage Finding Task. Proceedings
30. of the Tenth Text REtrieval Conference (TREC 2001), pp. 686-698.
31. Matveev, M. G.; Sviridov, A. S. & Aleynikova, N. A. 2008: Models and methods of artificial
32. intelligence. Application in economics. Moscow: Infra-M, p. 446.
33. Vinogradov, I.M 1977: Mathematical Encyclopedia. In 5 volumes. Moscow: Sovetskaya
34. enciklopediya.
35. Molochkov, V. 2021: WordPress s nulya. SPb: Izd-vo BHV, p. 304.
36. Musin, O. R. 2015: Sperner’s Lemma: applications and generalizations. Lesson 1. Summer
37. School "Contemporary Mathematics", Available at: http://www.mathnet.ru/php/presentation.
38. phtml?option_lang=rus&presentid=12048 (accessed 30.12.2021).
39. Science Foundation Ireland, Available at: RL: https://grants.sfi.ie/ex/ex_viewreport.jsp?key=
40. &token=%40Gg4KSBgZeFpZQxZYSRxXQlNYZ1V8HnBv (accessed 16.12.2021).
41. Scientific forum dxdy, Available at: https://dxdy.ru/ (accessed 10.05.2022).
42. Scientific forum MATHEMATICA, Available at: URL https://math.stackexchange.com/
43. (accessed 11.05.2022).
44. CiteSeerX, Available at: https://citeseerx.ist.psu.edu/ (accessed 20.10.2021).
45. Robson, E.; Stedall, J. 2009: The Oxford Handbook of The History of Mathematics. Oxford:
46. Oxford University Press, p. 91.
47. Science intelligence system in physical chemistry of radical reactions, Available at: http://lion.
48. icp.ac.ru/ (accessed 20.04.2022).
49. Matematicheskoe Prosveshchenie. Third series, Available at: https://www.mccme.ru/freebooks/
50. matpros.html (accessed 30.11.2021).
51. Tumanov, V. E., Prohorov, A. I., Lazarev, D. Y., Solovyova, M. E. 2010: Development and
52. creation of a subject-oriented system of scientific awareness on the physical chemistry of radical
53. reactions. Informacionnye resursy Rossii, no. 5(117), pp. 16-21.
54. Hackathorn, R. 2005: Science Intelligence. Can a business Intelligence Approach Enable
55. «Smart»
56. Science? DM Review. Available at: http://www. DMReview.com (accessed 30.01.2022).
57. Hoff, G. & Mundhenk, M. 2001. Finding scientific papers with homepage search and MOPS.
58. Proceedings of the Nineteenth Annual International Conference of Computer Documentation,
59. Communicating in the New Millennium, pp. 201-207.
60. Chen M. 2012: Applying business intelligence in higher education sector: conceptual models and
61. users acceptance. MSc thesis. University of Bedfordshire. 157 p.
62. Yu. A. Shashkin, “Convex sets, extremal points, simplexes”, Itogi Nauki i Tekhn. Ser. Mat.
63. Anal., 11, VINITI, Moscow, 1973, 5–50; J. Math. Sci. (N. Y.), 4:6 (1975), 625–655.
64. Yanishevskaya, A. G. & Pesterev, P.V. 2018: Architecture of a multi-agent enterprise search
65. engine. Dinamika sistem, mekhanizmov i mashin, vol. 6, no. 2, pp. 94-101.
Review
For citations:
Bogatov E.M., Korenev A.V., Mikhailov I.S. On the design of scientific awareness systems in the field of the history of mathematics using multi-agent technologies. Chebyshevskii Sbornik. 2022;23(5):172-187. (In Russ.) https://doi.org/10.22405/2226-8383-2022-23-5-172-187