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Xie, X., Lu, Q., Parlikad, A. K., & Schooling, J. M. (2020). Digital twin enabled asset anomaly detection for building facility management. IFAC-PapersOnLine, 53(3), 380–385.  
2/8/23, 9:36 AM
Mihai, S., Yaqoob, M., Hung, D. V., Davis, W., Towakel, P., & Raza, M., et al.. (2022). Digital twins: A survey on enabling technologies, challenges, trends and future prospects. IEEE Communications Surveys & Tutorials.  
2/8/23, 9:30 AM
Szabadf"oldi, I. (2021). Artificial intelligence in military application--opportunities and challenges. Land Forces Academy Review, 26(2), 157–165.  
2/3/23, 9:59 AM
Lecun, Y. (2022). A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27. Open Review, 62.  
1/18/23, 12:42 PM
Bengio, Y., Lecun, Y., & Hinton, G. (2021). Deep learning for ai. Communications of the ACM, 64(7), 58–65.  
1/18/23, 12:34 PM
Still, S., & Precup, D. (2012). An information-theoretic approach to curiosity-driven reinforcement learning. Theory in Biosciences, 131(3), 139–148.  
1/18/23, 6:35 AM
Lempert, R. J. (2019). Robust decision making (rdm). In Decision making under deep uncertainty (pp. 23–51). Springer, Cham.  
1/17/23, 2:27 PM
Dubey, R., & Griffiths, T. L. (2020). Understanding exploration in humans and machines by formalizing the function of curiosity. Current Opinion in Behavioral Sciences, 35, 118–124.  
1/3/23, 10:50 AM
Friston, K. J., Lin, M., Frith, C. D., Pezzulo, G., Hobson, J. A., & Ondobaka, S. (2017). Active inference, curiosity and insight. Neural computation, 29(10), 2633–2683.  
1/3/23, 10:41 AM
Gottlieb, J., & Oudeyer, P.-Y. (2018). Towards a neuroscience of active sampling and curiosity. Nature Reviews Neuroscience, 19(12), 758–770.  
1/3/23, 10:24 AM
Oudeyer, P.-Y. (2018). Computational theories of curiosity-driven learning. arXiv preprint arXiv:1802.10546.  
1/3/23, 10:17 AM
Sun, C., Qian, H., & Miao, C. (2022). From psychological curiosity to artificial curiosity: Curiosity-driven learning in artificial intelligence tasks. arXiv preprint arXiv:2201.08300.  
1/3/23, 10:12 AM
Mohakud, R., & Dash, R. (2022). Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection. Journal of King Saud University-Computer and Information Sciences, 34(8), 6280–6291.  
12/14/22, 4:50 PM
Boden, M. A. (2014). Creativity and artificial intelligence: A contradiction in terms. The philosophy of creativity: New essays, 224–246.  
12/12/22, 3:42 PM
Heisenberg, W. (1958). The representation of nature in contemporary physics. Daedalus, 87(3), 95–108.  
12/12/22, 2:06 PM
Klein, G., Phillips, J. K., Rall, E. L., & Peluso, D. A. (2007). A data--frame theory of sensemaking. In Expertise out of context (pp. 118–160). Psychology Press.  
12/12/22, 12:45 PM
Tovstiga, G. (2015). Strategy in practice: A practitioner's guide to strategic thinking. John Wiley & Sons.  
12/12/22, 11:16 AM
Halina, M. (2020). Insightful artificial intelligence. Mind & Language, 36(2), 315–329.  
12/12/22, 10:35 AM
Li, B., Pei, Y., Wu, H., & Shen, B. (2015). Heuristics to allocate high-performance cloudlets for computation offloading in mobile ad hoc clouds. The Journal of Supercomputing, 71(8), 3009–3036.  
12/12/22, 9:50 AM
Rajovic, N., Carpenter, P. M., Gelado, I., Puzovic, N., Ramirez, A., & Valero, M. 2013, Supercomputing with commodity cpus: Are mobile socs ready for hpc?. Paper presented at Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis.  
12/12/22, 9:27 AM
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WIKINDX 6.7.0 | Total resources: 1470 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)