This article examines the problem of forming basic concepts in robots within the framework of the development of Artificial General Intelligence (AGI). The theories of concept formation in infants were reviewed. There is the consensus that in this early period of human cognitive development the basic concepts and reasoning are established that was named “common sense”. In the article common sense will be seen from two perspectives: individual and collective ones. This article is devoted to the formation of individual concepts of common sense in robots. In the set of individual concepts of common sense are being discussed here spatial and temporal conceptual domains prevail. Collective concepts of common sense will be mentioned briefly. In this phase of AGI development the proposed concepts formation procedure means mostly a-priori concepts that are preliminary designed as the software procedures and only “is grounded” in robot. But these “first concepts” create the basis for further learning procedures. As the platform for conceptualization procedure the cognitive architecture AGICA was considered. Cognitive architecture AGICA was represented by the author in 2023 on the base of “axiomatic approach” in AGI development. In cognitive architecture AGICA there were used the models of AGI-Consciousness, AGI-Individual Type, AGI-Collective Type in the framework of “grounded cognition”. AGI-Individual Type is based on “instinct of self-preservation” (survival instinct). AGI-Collective Type is based on “species preservation instinct”. Given that we are now far from a general theory of concepts, the development of transport robots is viewed as an application domain. This article does not claim to be comprehensive and can be viewed as some “engineering approach” for problem solving, - thus it is mostly addressed to the developers. In the main part of the article we will consider only perceptual/modal/concrete concepts. Amodal/abstract concepts will be out of the discussion.
| Published in | American Journal of Artificial Intelligence (Volume 9, Issue 1) |
| DOI | 10.11648/j.ajai.20250901.11 |
| Page(s) | 1-15 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Artificial General Intelligence (AGI), Cognitive Architecture, Concept, Reasoning, Individual Intelligence, Swarm Intelligence, Operating System, Common Sense
| [1] | Abburu, S. R., Alapati, M. L. P. R., Dadhich, A. S., & Rao, M. K. (2016). Determination of ranolazine in tablet formulations by high-performance thin-layer chromatography—mass spectrometry using reflectance scanning densitometry. JPC–Journal of Planar Chromatography–Modern TLC, 29, 190-194. |
| [2] | Peate, I. (2022). Angina–management of chest pain. British Journal of Healthcare Assistants, 16(3), 110-115. |
| [3] | Martínez López, I., Gómez Cerezo, J. F., Gámez, J. M., Egocheaga Cabello, I., Castellanos, M., Campuzano Ruiz, R.,... & Mostaza, J. M. (2024). Post-event follow-up costs in patients with atherosclerotic cardiovascular disease in Spain. Frontiers in cardiovascular medicine, 11, 1324537. |
| [4] | Tadrous, M., Shakeri, A., Hayes, K. N., Neville, H. L., Houlihan, J., Clement, F.,... & Gomes, T. (2021). Canadian trends and projections in prescription drug purchases: 2001–2023. Canadian Journal of Health Technologies, 1(11). |
| [5] | Rashid, A., Movio, G., & Lee, G. C. (2022). Nicorandil and ranolazine overdose management. BMJ Case Reports CP, 15(12), e245834. |
| [6] | Asendrych-Wicik, K., Zarczuk, J., Walaszek, K., Ciach, T., & Markowicz-Piasecka, M. (2023). Trends in development and quality assessment of pharmaceutical formulations-F2α analogues in the glaucoma treatment. European Journal of Pharmaceutical Sciences, 180, 106315. |
| [7] | Singh A, Afreen S & Dhirendra P, World J Pharm Pharm Sci, 6647 (2017) 1337. |
| [8] | Roy J, AAPs Pharm Sci Tech, 3 (2002) 1. |
| [9] | Pilaniya K, Chandrawanshi H K, Pilaniya U, Manchandani P, Jain P & Singh N, J Adv Pharm Tech, 1 (2010) 302. |
| [10] | Hoyt, E. M., Smith, L. O., & Crittenden, D. L. (2023). Simple, accurate, adjustable-parameter-free prediction of NMR shifts for molecules in solution. Physical Chemistry Chemical Physics, 25(14), 9952-9957. |
| [11] | Venkateswara Rao, G., Pindi, S. R., Hari Babu, B., & Khandapu, B. M. K. (2024). Synthesis of potential impurities of cloxacillin sodium drug substance. Journal of Heterocyclic Chemistry, 61(2), 341-346. |
APA Style
Kornieiev, S. (2025). Space of Reasoning of Individual Common Sense in Cognitive Architecture AGICA. American Journal of Artificial Intelligence, 9(1), 1-15. https://doi.org/10.11648/j.ajai.20250901.11
ACS Style
Kornieiev, S. Space of Reasoning of Individual Common Sense in Cognitive Architecture AGICA. Am. J. Artif. Intell. 2025, 9(1), 1-15. doi: 10.11648/j.ajai.20250901.11
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajai.20250901.11,
author = {Sergii Kornieiev},
title = {Space of Reasoning of Individual Common Sense in Cognitive Architecture AGICA
},
journal = {American Journal of Artificial Intelligence},
volume = {9},
number = {1},
pages = {1-15},
doi = {10.11648/j.ajai.20250901.11},
url = {https://doi.org/10.11648/j.ajai.20250901.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20250901.11},
abstract = {This article examines the problem of forming basic concepts in robots within the framework of the development of Artificial General Intelligence (AGI). The theories of concept formation in infants were reviewed. There is the consensus that in this early period of human cognitive development the basic concepts and reasoning are established that was named “common sense”. In the article common sense will be seen from two perspectives: individual and collective ones. This article is devoted to the formation of individual concepts of common sense in robots. In the set of individual concepts of common sense are being discussed here spatial and temporal conceptual domains prevail. Collective concepts of common sense will be mentioned briefly. In this phase of AGI development the proposed concepts formation procedure means mostly a-priori concepts that are preliminary designed as the software procedures and only “is grounded” in robot. But these “first concepts” create the basis for further learning procedures. As the platform for conceptualization procedure the cognitive architecture AGICA was considered. Cognitive architecture AGICA was represented by the author in 2023 on the base of “axiomatic approach” in AGI development. In cognitive architecture AGICA there were used the models of AGI-Consciousness, AGI-Individual Type, AGI-Collective Type in the framework of “grounded cognition”. AGI-Individual Type is based on “instinct of self-preservation” (survival instinct). AGI-Collective Type is based on “species preservation instinct”. Given that we are now far from a general theory of concepts, the development of transport robots is viewed as an application domain. This article does not claim to be comprehensive and can be viewed as some “engineering approach” for problem solving, - thus it is mostly addressed to the developers. In the main part of the article we will consider only perceptual/modal/concrete concepts. Amodal/abstract concepts will be out of the discussion.
},
year = {2025}
}
TY - JOUR T1 - Space of Reasoning of Individual Common Sense in Cognitive Architecture AGICA AU - Sergii Kornieiev Y1 - 2025/04/29 PY - 2025 N1 - https://doi.org/10.11648/j.ajai.20250901.11 DO - 10.11648/j.ajai.20250901.11 T2 - American Journal of Artificial Intelligence JF - American Journal of Artificial Intelligence JO - American Journal of Artificial Intelligence SP - 1 EP - 15 PB - Science Publishing Group SN - 2639-9733 UR - https://doi.org/10.11648/j.ajai.20250901.11 AB - This article examines the problem of forming basic concepts in robots within the framework of the development of Artificial General Intelligence (AGI). The theories of concept formation in infants were reviewed. There is the consensus that in this early period of human cognitive development the basic concepts and reasoning are established that was named “common sense”. In the article common sense will be seen from two perspectives: individual and collective ones. This article is devoted to the formation of individual concepts of common sense in robots. In the set of individual concepts of common sense are being discussed here spatial and temporal conceptual domains prevail. Collective concepts of common sense will be mentioned briefly. In this phase of AGI development the proposed concepts formation procedure means mostly a-priori concepts that are preliminary designed as the software procedures and only “is grounded” in robot. But these “first concepts” create the basis for further learning procedures. As the platform for conceptualization procedure the cognitive architecture AGICA was considered. Cognitive architecture AGICA was represented by the author in 2023 on the base of “axiomatic approach” in AGI development. In cognitive architecture AGICA there were used the models of AGI-Consciousness, AGI-Individual Type, AGI-Collective Type in the framework of “grounded cognition”. AGI-Individual Type is based on “instinct of self-preservation” (survival instinct). AGI-Collective Type is based on “species preservation instinct”. Given that we are now far from a general theory of concepts, the development of transport robots is viewed as an application domain. This article does not claim to be comprehensive and can be viewed as some “engineering approach” for problem solving, - thus it is mostly addressed to the developers. In the main part of the article we will consider only perceptual/modal/concrete concepts. Amodal/abstract concepts will be out of the discussion. VL - 9 IS - 1 ER -
Department of Research and Development, Zhejiang Tiger Technology Co., Ltd., Jiaxing, China
Information