Knowledge representation system about planners of intelligent information agents

The article presents the reasons for the relevance of expanding knowledge about the action planners of intelligent information agents. The key areas for the necessary expansion in the context of the development of the digital economy are identified. The concept of forming a system for representing knowledge about the action planners of intelligent information agents is proposed. The basic components of the quality profiles of the considered artifacts are described. Classes of models of action planners and methods for their analysis are defined. The formed components of the knowledge representation system about typical action planners of intelligent information agents are considered

Keywords: intellectual technologies, intelligent agent, scheduler, representation of knowledge, profile, quality, model, method, system.

References

  1. S. Russell, N. Peter. Artificial Intelligence: A Modern Approach. Prentice Hall, 2007. 1408 p.
  2. L. K. Ptitsyna, S. M. Shestakov. Informatsionnye seti. Intellekyualnye informatsyonnye agenty: uchebnoe posobie [Informative networks. Intelligent informative agents: educational book]. Saint-Petersburg, 2008. 210 p.
  3. L. K. Ptitsyna, S. V. Dobretsov. Intellektualnye technologies’ i predstavlenie znanii. Planirovanie deistvii intellektualnykh agentov v informatsyonnykh setyakh: uchebnoe posobie [Intelligent technologies and knowledge representation. The planning of operations of intelligent agents in informative networks: educational book]. Saint-Petersburg, 2006. 172 p.
  4. L. K. Ptitsyna, El. Sabayar Shevchenko N., M. P. Belov, A. V. Ptitsyn. A neural network approach to overcoming a priori uncertainty in optimal action planning of intelligent information agents for soft architectures of service-oriented systems//In collection: «Proceedings of 2021 2nd International Conference on Neural Networks and Neurotechnologies», NeuroNT 2021. P. 31-34.
  5. L. K. Ptitsyna, A. A. Lebedeva, M. P. Belov. Development of model-analitical intellinge of information agents for reactive infocommunication environments//Proceedings of the XIX International Conference on Soft Computing and Measurements SCM-2016. 2016. P. 124-126.
  6. A. V. Ptitsyn, L. K. Ptitsyna. Ensuring information security based on the methodological basis of agent technologies//Bulletin of the Bryansk State Technical University. 2017. № 2 (55). P. 146-154.
  7. M. S. Kotkina, L. K. Ptitsyna. Formation of extended object-oriented models of action planners of information multi-agent systems//Trudy 8 Mezhdunarodnoy Nauchno Tekhnicheskoy I Nauchno Metodicheskoy Konferentsii «Aktual’nye Problemy Infotelekommunikatsii V Nauke I Obrazovaniya» [Proc. 8th. Int. Conf. «International conference on advanced infotelecommunication»]. St.Petersburg, 2019. P. 362-367.
  8. L. K. Ptitsyna, M. S. Kotkina. Analysis of extended object-oriented models of action planners of intelligent information agents//11 mezhdunarodnaya konferentsiya «Informatsionnaya bezopasnost' regionov Rossii» [Proc. of the 11th St. Petersburg regional conf. «Information security of Russian regions»]. St. Petersburg, 2019. P. 144-146.
  9. L. K. Ptitsyna, M. S. Kotkina. Researching of models of action planners for intelligent information agents//Papers of Regional informatics and information security. St. Petersburg, 2019. № 7. P. 123-126.
  10. L. K. Ptitsyna, A. O. Zharanova, N. A. Ptitsyn, M. P. Belov. Advanced object-oriented modeling of intelligent information agent planners//Proceedings of the XXV International Conference on Soft Computing and Measurements SCM (SCM-2022). St. Petersburg, 2022. P. 87-90.
  11. L. K. Ptitsyna, N. El Sabayar Shevchenko, A. V. Ptitsyn. Modeling of communication and computing processes of telecommunication systems with end-to-end combination of state diagrams and activity diagrams//Telecommunications. 2022. № 4. P. 32-40

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