Action planning logic in intelligent IT systems using the example of bots
Authors:
- Sergii Telenyk,
- Grzegorz Nowakowski,
- Eduard Zharikov,
- Yevhenii Vovk,
- Olena P. Tokmenko
Abstract
The logic of action planning adopted in the adaptive technology Smart Plus is considered. The key features of the approach adopted here include distinguishing between two formalisms (action planning and organization of interaction); a two-level action planning formalism; sensory data; the possibility of dynamic type generation; and the assumption of a negative result from the actions performed. The proposed formal action planning system allows the user to define the process of choosing a behaviour as an action planning process. In the framework of the formal action planning system proposed in this paper, the concept of goal attainability is formalized in terms of plans, and a foundation is created for effective inference procedures. A general approach to the automated creation of bots based on logical and linguistic models has been proposed. A general scheme of the web-based system using the chatbot was developed. One of the key features of this solution is the automation of the chain of activities, the implementation of which leads to the fulfilment of the user's query.
- Record ID
- CUT1d701aaf99604ab8a1f2a67abb5a53d5
- Publication categories
- ; ;
- Author
- Pages
- [1-11]
- Other elements of collation
- schem.; Bibliografia (na s.) - [10-11]; Bibliografia (liczba pozycji) - 21; Oznaczenie streszczenia - Abstr.
- Book
- 2020 21st International Conference on Research and Education in Mechatronics (REM), Cracow, Poland, December 9th – 11th 2020, 2020, [S.l.], Institute of Electrical and Electronics Engineers, IEEE, [11] p., ISBN 978-1-7281-6224-9 (electronic)
- Keywords in English
- planning logic, IT systems, bots, mathematical logic
- DOI
- DOI:10.1109/rem49740.2020.9313874 Opening in a new tab
- URL
- https://ieeexplore.ieee.org/document/9313874/ Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Publication indicators
- Citation count
- 1
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT1d701aaf99604ab8a1f2a67abb5a53d5/
- URN
urn:pkr-prod:CUT1d701aaf99604ab8a1f2a67abb5a53d5
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.