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Publications in Math-Net.Ru |
Citations |
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2023 |
| 1. |
O. G. Grigoriev, D. A. Devyatkin, A. I. Molodchenkov, A. I. Panov, I. V. Smirnov, I. V. Sochenkov, N. V. Chudova, K. Yakovlev, “Artificial intelligence and cognitive modeling: creative heritage of G. S. Osipov”, Artificial Intelligence and Decision Making, 2023, no. 4, 3–15   |
| 2. |
A. K. Latyshev, A. I. Panov, “Methods of intrinsic motivation in model-based reinforcement learning problems”, Artificial Intelligence and Decision Making, 2023, no. 3, 84–97 |
| 3. |
K. V. Mironov, D. A. Yudin, M. Alhaddad, D. A. Makarov, D. S. Pushkarev, S. A. Linok, I. V. Belkin, A. S. Krishtopik, V. A. Golovin, K. Yakovlev, A. I. Panov, “STRL-Robotics: intelligent control for robotic platform in human-oriented environment”, Artificial Intelligence and Decision Making, 2023, no. 2, 45–63 |
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2022 |
| 4. |
A. I. Panov, “Simultaneous learning and planning in a hierarchical control system for a cognitive agent”, Avtomat. i Telemekh., 2022, no. 6, 53–71 ; Autom. Remote Control, 83:6 (2022), 869–883 |
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| 5. |
A. K. Kovalev, A. I. Panov, “Application of pretrained large language models in embodied artificial intelligence”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 94–99 ; Dokl. Math., 106:suppl. 1 (2022), S85–S90 |
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| 6. |
K. Yakovlev, A. Andreychuk, A. A. Skrynnik, A. I. Panov, “Planning and learning in multi-agent path finding”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 88–93 ; Dokl. Math., 106:suppl. 1 (2022), S79–S84 |
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| 7. |
I. V. Smirnov, A. I. Panov, A. A. Chuganskaya, M. I. Suvorova, G. A. Kiselev, I. A. Kuruzov, O. G. Grigoriev, “Personal cognitive assistant: Planning activity with scripts”, Inform. Primen., 16:1 (2022), 46–53 |
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2020 |
| 8. |
G. S. Osipov, A. I. Panov, “Rational behaviour planning of cognitive semiotic agent in dynamic environment”, Artificial Intelligence and Decision Making, 2020, no. 4, 80–100 ; Scientific and Technical Information Processing, 48:6 (2021), 502–516 |
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2019 |
| 9. |
I. V. Smirnov, A. I. Panov, A. A. Skrynnik, E. V. Chistova, “Personal cognitive assistant: Concept and key principals”, Inform. Primen., 13:3 (2019), 105–113 |
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2018 |
| 10. |
A. I. Panov, “Goal setting and behavior planning for cognitive agent”, Artificial Intelligence and Decision Making, 2018, no. 2, 21–35 ; Scientific and Technical Information Processing, 46:6 (2019), 404–415 |
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| 11. |
A. I. Panov, “Formation of an image component of knowledge of the cognitive agent with a sign-based model of worldview”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 4, 84–96 |
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| 12. |
G. A. Kiselev, A. I. Panov, “Sign-based approach to the task of role distribution in the coalition of cognitive agents”, Tr. SPIIRAN, 57 (2018), 161–187 |
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2017 |
| 13. |
G. S. Osipov, A. I. Panov, “Relationships and operations in agent's sign-based model of the world”, Artificial Intelligence and Decision Making, 2017, no. 4, 5–22 ; Scientific and Technical Information Processing, 45:5 (2018), 317–330 |
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2016 |
| 14. |
A. I. Panov, K. Yakovlev, “On interaction of strategic and tactical planning for the coalition of agents in dynamic environment”, Artificial Intelligence and Decision Making, 2016, no. 4, 68–78 |
| 15. |
N. V. Chudova, A. I. Panov, “Causal inference in psychological data in the case of aggression”, Artificial Intelligence and Decision Making, 2016, no. 4, 38–46 ; Scientific and Technical Information Processing, 44:6 (2016), 424–429 |
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2015 |
| 16. |
D. A. Makarov, A. I. Panov, K. Yakovlev, “Architecture of the multilayered intelligent control system for unmanned aerial vehicles”, Artificial Intelligence and Decision Making, 2015, no. 3, 18–33 |
| 17. |
A. I. Panov, A. V. Shvets, G. D. Volkova, “Method of extraction of causal relationships with optimized fact bases”, Artificial Intelligence and Decision Making, 2015, no. 1, 27–34 ; Scientific and Technical Information Processing, 42:6 (2015), 420–425 |
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2013 |
| 18. |
A. I. Panov, “Identifying the reasons and effects in data of psychological testing by logical methods”, Artificial Intelligence and Decision Making, 2013, no. 1, 24–32 ; Scientific and Technical Information Processing, 41:5 (2013), 275–282 |
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