Relevant bibliographies by topics / Weak and Strong AI

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Weak and Strong AI'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Weak and Strong AI"

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Raikov, A. N. "Weak vs strong artificial intelligence." Informatization and communication, no. 1 (March 31, 2020): 81–88. http://dx.doi.org/10.34219/2078-8320-2020-11-1-81-88.

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It is proposed to distinguish between the traditional, so-called, weak, artificial intelligence (AI) and strong artificial intelligence, or artificial general intelligence (AGI). The latter is not considered as the evolutionary stage of the development of AI, but something else related to the construction of an informal and non-causal phenomenological space, as a kind of opposite to AI. AGI is determined by inverse problems solving on topologies, using analogies of quantum physics and optics, connecting aspects of relativistic theory. It is noted that the AGI continual power is tens of orders
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Kim, Jinsok. "The Problem of Distinction Between ‘weak AI’ and ‘strong AI’." Journal of The Society of philosophical studies 117 (June 30, 2017): 111–37. http://dx.doi.org/10.23908/jsps.2017.06.117.111.

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Tarasov, Alexey A. "The threat of convergence of “strong AI” and “weak AI”." Digital Scholar: Philosopher`s Lab 7, no. 1 (2024): 48–55. https://doi.org/10.32326/2618-9267-2024-7-1-48-55.

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The article is devoted to the hype that surrounds artificial intelligence (AI) today, which can be compared with a virus attack, or more precisely with the spread of a meme. So, Bruno Latour would definitely agree that the mutation of the virus is creativity. We usually do not recognize any intelligence behind viruses or bacteria. Only as a figure of speech. Thus, it is shown that the problem of AI is a problem of pantheism, that is, anti-intellectualism of AI. For example, today AI is implemented primarily in the form of constructing a “smart” environment in which more and more stupid people
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Li, Yongqi, Xin Miao, Mayi Xu, and Tieyun Qian. "Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 26 (2025): 27437–45. https://doi.org/10.1609/aaai.v39i26.34955.

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The super-alignment problem of how humans can effectively supervise super-human AI has garnered increasing attention. Recent research has focused on investigating the weak-to-strong generalization (W2SG) scenario as an analogy for super-alignment. This scenario examines how a pre-trained strong model, supervised by an aligned weak model, can outperform its weak supervisor. Despite good progress, current W2SG methods face two main issues: 1) The annotation quality is limited by the knowledge scope of the weak model; 2) It is risky to position the strong model as the final corrector. To tackle t
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Englert, Roman, and Jörg Muschiol. "Numerical Evidence That the Power of Artificial Neural Networks Limits Strong AI." Advances in Artificial Intelligence and Machine Learning 02, no. 02 (2022): 338–46. http://dx.doi.org/10.54364/aaiml.2022.1122.

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A famous definition of AI is based on the terms weak and strong AI from McCarthy. An open question is the characterization of these terms, i.e., the transition from weak to strong. Nearly no research results are known for this complex and important question. In this paper we investigate how the size and structure of a Neural Network (NN) limits the learnability of a training sample, and thus, can be used to discriminate weak and strong AI (domains). Furthermore, the size of the training sample is a primary parameter for the training effort estimation with the big O function. The needed trainin
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Kumar, Neeraj Sachdev, and Mehra Aryan. "An Exploration of Philosophical Ideas of Select Thinkers in Artificial Intelligence." International Journal of Social Science And Human Research 05, no. 12 (2022): 5455–57. https://doi.org/10.5281/zenodo.7417694.

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We attempt to explore the presence and working of philosophical ideas of select thinkers in the whole architecture of artificial intelligence. This exploration delves into the philosophical connections relating to the proof of the existence of artificial intelligence. It further examines the philosophical perspectives of strong and weak versions of artificial intelligence, language processing and the inner working of artificial intelligence itself.
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Dziatkovskii, A. "ERGONOMICS: THE POSSIBILITIES OF AI, ZKP AND ML." Norwegian Journal of development of the International Science, no. 107 (April 26, 2023): 69–70. https://doi.org/10.5281/zenodo.7878462.

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<strong>Abstract</strong> <strong>The directions of changes in ergonomics, which accompany the inclusion of artificial intelligence in the &quot;human-machine&quot; system, are considered. The problems of &quot;weak&quot; and &quot;strong&quot; artificial intelligence in ergonomics are presented.</strong>
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Lang, Hao, Fei Huang, and Yongbin Li. "Debate Helps Weak-to-Strong Generalization." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 26 (2025): 27410–18. https://doi.org/10.1609/aaai.v39i26.34952.

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Common methods for aligning already-capable models with desired behavior rely on the ability of humans to provide supervision. However, future superhuman models will surpass the capability of humans. Therefore, humans will only be able to weakly supervise superhuman models. This expected deficiency of human evaluation would weaken the safety of future AI systems. Scalable oversight and weak-to-strong generalization are two complementary approaches to tackle this issue. In this paper, we attempt to combine the strengths of these two approaches to further improve alignment. Specifically, we inve
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Falev, Egor V. "The Concept of Artificial Intelligence and its Prospects from the Perspective of the Living Ethics’ Philosophy." Voprosy Filosofii, no. 10 (2021): 175–86. http://dx.doi.org/10.21146/0042-8744-2021-10-175-186.

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The article considers the concept of artificial intelligence (AI) using categories and basic principles of the consciousness theory developed in the Living Ethics (LE). The latter is a modern form of the ancient tradition of exploring conscious­ness in Indian philosophy and spiritual practice. Categorial apparatus of Indian philosophy contains rich variety of distinction which may be successfully imple­mented also in the modern cognitive researches. The article shows that more pre­cise definitions of the basic concepts allow to fulfill strict delimitation between “strong” and “weak” AI as well
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Kyrnis, Nataliia. "Application of Artificial Intelligence in the Restaurant Business." Restaurant and Hotel Consulting. Innovations 7, no. 1 (2024): 111–22. https://doi.org/10.31866/2616-7468.7.1.2024.305960.

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<strong>Actuality.</strong>&nbsp;Nowadays, the development of artificial intelligence affects the activities of all human life spheres, and the restaurant business as well. It can be explained by the fact that restaurant business enterprises are very sensitive to changes in the environment, and they need to constantly improve their activities for competitive functioning. It is artificial intelligence that will allow to work effectively in the market of restaurant services, influencing the demand and increasing the income. Therefore, the topic of application and implementation of artificial int
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Dissertations / Theses on the topic "Weak and Strong AI"

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Mergheim, Julia. "Computational modeling of strong and weak discontinuities." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=979173477.

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Chen, Tieling. "Weak and strong inequalities for Hardy type operators." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ58204.pdf.

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Creatore, Celestino. "Quantum well polaritons : strong and weak coupling regimes." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/54569/.

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The work described in this thesis is a theoretical investigation of the properties of exciton-polaritons in quantum wells (QWs). The polariton effect is first studied in the case of a completely coherent interaction between QW excitons and bulk photons, i.e. in the so called strong coupling limit. Then, an incoherent damping rate for the exciton states is included and the resulting modifications in the polariton dispersion are analyzed. A microscopic model which accounts for the scattering of QW excitons by random impurities is also proposed. In the strong coupling limit, a definitive and corr
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Hulcher, Zachary R. "Resolution effects in the hybrid strong/weak coupling model." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/111887.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Physics, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 33-34).<br>Within the context of a hybrid strong/weak coupling model of jet quenching, we study the consequences of the fact that the plasma produced in a heavy ion collision cannot resolve the substructure of a collimated parton shower within it to arbitrary resolution. We introduce a screening length parameter, LRes, proportional to the inverse of the local temperature in the plasma, estimating the value of the proportionalit
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Hulcher, Zachary R. "Resolution effects in the hybrid strong/weak coupling model." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111887.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Physics, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 33-34).<br>Within the context of a hybrid strong/weak coupling model of jet quenching, we study the consequences of the fact that the plasma produced in a heavy ion collision cannot resolve the substructure of a collimated parton shower within it to arbitrary resolution. We introduce a screening length parameter, LRes, proportional to the inverse of the local temperature in the plasma, estimating the value of the proportionalit
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Shaikh, Nida. "Role os Strong and Weak Ties : Entrepreneur’s Social Network." Thesis, Linköpings universitet, Projekt, innovationer och entreprenörskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141057.

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The role of social networking has widely been embraced in an entrepreneurial context due to its nature of providing easy access to information, support and other complementary resources needed for the creation and development of entrepreneurial venture (Omta et al., 2001; Johannisson,1990 cited in Song et al., 2017). The entrepreneurs’ network is affiliated with the study of social relations that can influence the creation and development of new business by shedding light on the functionality of social ties in the diffusion of resources that are vital for the establishment of firms (Greve, 199
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Bertoli, Chiara <1997&gt. "Weak and Strong States: Is Climate Change Increasing Inequalities?" Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/21261.

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La Linea di Brandt divide il mondo in due parti, ricchi e poveri. Oltre alle condizioni economiche, ci sono altri aspetti più complessi che oggi definiscono uno stato weak o strong, come ad esempio le sue condizioni politiche e sociali. In relazione a ciò, verrà condotta una ricerca ed uno studio sugli effetti del riscaldamento climatico sugli stati sviluppati ed in via di sviluppo. La questione principale, infatti, sarà se il riscaldamento climatico, contribuisce ad incrementare la disuguaglianza tra weak e strong states. Per dimostrare ciò, verrà condotta un’analisi relativa agli effetti cau
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Jang, Seungkwon. "Information and programming : strong and weak thinking in information technology." Thesis, Lancaster University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358922.

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Lekaveckas, Mindaugas. "Properties of quark gluon plasma at weak and strong coupling." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91391.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2014.<br>154<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 225-241).<br>In this thesis properties of probe particle traveling through quark gluon plasma as created in heavy ion collisions are investigated. In the first part, probability distribution P(k1 ) is calculated for an energetic parton that propagates for a distance L through a weakly coupled medium without radiating to pick up transverse momentum k1. Results for P(k1 ) in weakly coupled quark gluon plasma are compared
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Mota, Paulo Ricardo Tavares. "Weak and Strong Hysteresis in the Dynamics of Labor Demand." Doctoral thesis, Faculdade de Economia da Universidade do Porto, 2007. http://hdl.handle.net/10216/10766.

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Economia<br>Doctoral Programme in Economics<br>Estudos empíricos anteriores mostram que quando as decisões são tomadas num contexto de incerteza e quando existem custos de ajustamento lineares ou fixos (não convexos), as empresas não ajustam continuamente o nível de emprego de forma a acomodar choques da procura do seu produto. Consequentemente, emergem períodos de inércia o que é suficiente para produzir histerese. Nesta dissertação estuda-se a existência de histerese da dinâmica do emprego ao nível da empresa e ao nível agregado. Em primeiro lugar, efectua-se uma descrição do padrão de ajus
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Books on the topic "Weak and Strong AI"

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LeSourd, Leonard E. Strong men, weak men. Chosen Books, 1990.

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Butler, John G. Samson: The weak strong man. Berean Publications, 1992.

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Tillmans, Wolfgang. For when I'm weak I'm strong. Cantz, 1997.

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Schneider, Peter, Christopher S. Kochanek, and Joachim Wambsganss. Gravitational Lensing: Strong, Weak and Micro. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-30310-7.

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1939-, May R. J., Rudland Emily 1974-, and Pedersen Morten B, eds. Burma-Myanmar: Strong regime, weak state? Crawford House Publishing, 2000.

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McGraner, Sam. Let the weak say I am strong. Pathway Press, 1998.

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Marten, Kimberly Zisk. Warlords: Strong-arm brokers in weak states. Cornell University Press, 2012.

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Pauly, Christian. Strong and Weak Topology Probed by Surface Science. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-11811-2.

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Acemoglu, Daron. Politics and economics in weak and strong states. National Bureau of Economic Research, 2005.

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Peter, Dauvergne, and Australian National University. Dept. of International Relations., eds. Weak and strong states in Asia-Pacific societies. Allen & Unwin in association with the Dept. of International Relations, Research School of Pacific and Asian Studies, Australian National University, 1998.

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Book chapters on the topic "Weak and Strong AI"

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Nida-Rümelin, Julian. "Digital Humanism and the Limits of Artificial Intelligence." In Perspectives on Digital Humanism. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86144-5_10.

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AbstractThis chapter is programmatic in style and content. It describes some patterns and one central argument of that, what I take as the view of digital humanism and which we exposed in our book (Nida-Rümelin and Weidenfeld 2018). The central argument regards the critique of strong and weak AI. This chapter does not discuss the logical and metaphysical aspects of digital humanism that I take to be part of the broader context of the theory of reason (Nida-Rümelin 2020, Chaps. VI and VII).
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Weiß, Helmut, and Seyna Maria Dirani. "Strong or weak?" In Studies in Language Companion Series. John Benjamins Publishing Company, 2019. http://dx.doi.org/10.1075/slcs.207.11wei.

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Amelung, Iwo, Moritz Bälz, Heike Holbig, Matthias Schumann, and Cornelia Storz. "Weak vs. strong." In Protecting the Weak in East Asia. Routledge, 2018. http://dx.doi.org/10.4324/9781351255554-10.

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Kreml, Ondřej, Václav Mácha, Šárka Nečasová, Tomasz Piasecki, and Aneta Wróblewska-Kamińska. "Weak-Strong Uniqueness." In Advances in Mathematical Fluid Mechanics. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-83324-3_5.

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Fontana, Marco, Evan Houston, and Thomas Lucas. "Weak, Strong and Very Strong Factorization." In Lecture Notes of the Unione Matematica Italiana. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31712-5_4.

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Cercignani, Carlo, and David H. Sattinger. "Weak and Strong Nonlinearities." In Scaling Limits and Models in Physical Processes. Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8810-3_9.

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Pinñoán, Christopher. "Weak and Strong Accomplishments." In Event Structure And The Left Periphery. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-4755-8_5.

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Jayez, Jacques, Valeria Mongelli, Anne Reboul, and Jean-Baptiste van der Henst. "Weak and Strong Triggers." In Studies in Theoretical Psycholinguistics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07980-6_8.

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Hitzler, Pascal. "Strong and Weak Topologies." In Quantum Measures and Spaces. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-2827-0_20.

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Mesterton-Gibbons, Mike. "Weak versus strong variations." In The Student Mathematical Library. American Mathematical Society, 2009. http://dx.doi.org/10.1090/stml/050/09.

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Conference papers on the topic "Weak and Strong AI"

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Yang, Yuqing, Yan Ma, and Pengfei Liu. "Weak-to-Strong Reasoning." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.490.

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Khorram, Soheil, Qian Zhang, Rohit Prabhavalkar, Kartik Audhkhasi, and Bhuvana Ramabhadran. "Weak-to-Strong Generalization in Speech Recognition." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889835.

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Korten, Oliver, and Toniann Pitassi. "Strong vs. Weak Range Avoidance and the Linear Ordering Principle." In 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2024. http://dx.doi.org/10.1109/focs61266.2024.00089.

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Gambashidze, Alexander, Aleksandr Dadukin, Maxim Golyadkin, Maria Razzhivina, and Ilya Makarov. "Weak-to-Strong 3D Object Detection with X-Ray Distillation." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01426.

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Li, Ming, Yong Zhang, Shwai He, et al. "Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.769.

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Yang, Jiaxi, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, and Chang Zhou. "Synthesizing Text-to-SQL Data from Weak and Strong LLMs." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.425.

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Baig, Momil, and Wonmi Ahn. "Cavity-modified fluorescence in the weak and strong coupling regimes." In Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XXIII, edited by Yu-Jung Lu and Takuo Tanaka. SPIE, 2025. https://doi.org/10.1117/12.3064042.

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Voitsekhovich, Viacheslav Emerikovich, Ilja Nikolaevich Volnov, and Georgii Gennadyevich Malinetskii. "On the way to a strong AI: Socio-philosophical problems." In 5th International Conference “Futurity designing. Digital reality problems”. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/future-2022-12.

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The authors define the concepts of consciousness, mind, reason, intellect. The most important properties of consciousness: understanding of the self, reflection, freedom, creativity. Mind is the ability to understand the absolute. Reason is the ability to understand the relative. Intellect is the ability of a subject to solve by rational and logical methods a wide class of tasks related to the life of the subject. Types of artificial intelligence (AI): weak, strong, super-strong AI. Problems that arise on the way of turning a weak AI into a strong one: freedom, trust, alienation. The main prob
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Alfano, Gianvincenzo, Sergio Greco, Francesco Parisi, and Irina Trubitsyna. "General Epistemic Abstract Argumentation Framework: Semantics and Complexity." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/355.

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Epistemic Abstract Argumentation Framework (EAAF) extends Dung's framework (AAF)---a central formalism in AI for modeling disputes among agents---by allowing the representation of epistemic knowledge. In particular, EAAF augments AAF with weak and strong epistemic attacks whose intuitive meaning is that an argument a defeats an argument b by means of a weak (resp. strong) epistemic attack if a is true in every (resp. at least one) extension. So far, the semantics of EAAF has been defined only for a restricted class of frameworks, namely acyclic EAAF, where epistemic attacks do not occur in any
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Lehre, Per Kristian, and Shishen Lin. "Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/767.

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Runtime analysis, as a branch of the theory of AI, studies how the number of iterations algorithms take before finding a solution (its runtime) depends on the design of the algorithm and the problem structure. Drift analysis is a state-of-the-art tool for estimating the runtime of randomised algorithms, such as bandit and evolutionary algorithms. Drift refers roughly to the expected progress towards the optimum per iteration. This paper considers the problem of deriving concentration tail-bounds on the runtime of algorithms. It provides a novel drift theorem that gives precise exponential tail
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Reports on the topic "Weak and Strong AI"

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Bai, Z. D., W. Q. Liang, and W. Vervaat. Strong Representation of Weak Convergence. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada186433.

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Gans, Joshua. Weak Versus Strong Net Neutrality. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20160.

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Bai, Z. D., and W. Q. Liang. Strong Representation of Weak Convergence. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada159078.

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Wise, M. Strong Effects in Weak Nonleptonic Decays. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1453969.

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Vong, Mark. Cambodia’s strong economy, weak society duality. East Asia Forum, 2025. https://doi.org/10.59425/eabc.1739224800.

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Bradac, M. Strong and Weak Lensing United I: the Combined Strong and Weak Lensing Cluster Mass Reconstruction Method. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/839879.

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Livingston, Robert C., and Teri M. Dabbs. Phase Scintillation Under Weak and Strong Scatter Conditions. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada181333.

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Hiller, Gudrun. Strong-Weak CP Hierarchy from Non-Renormalization Theorems. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/798953.

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Acemoglu, Daron. Politics and Economics in Weak and Strong States. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/w11275.

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Ferson, Wayne, Andrea Heuson, and Tie Su. Weak and Semi-Strong Form Stock Return Predictability, Revisited. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10689.

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