Search Results

1 - 10 of 2,357 items :

  • "artificial intelligence" x
Clear All

. Sitlia, The Value of Learning Analytics to Networked Learning on a Personal Learning Environment, in Proceedings of the 1st International Conference on Learning Analytics and Knowledge, New York, NY, USA, 2011, pp. 104-109. [25] S. Fauvel and H. Yu, A Survey on Artificial Intelligence and Data Mining for MOOCs, SciRate, 2016. [26] L. C. Lin and . A. J. Prez, Educational Data Mining and Learning Analytics: differences, similarities, and time evolution,” Rev. Univ. Soc. Conoc., vol. 12, no. 3, pp. 98-112, 2015. [27] G. Siemens and R. S. J. d. Baker, Learning Analytics

REFERENCES McCarthy, J. (2007). What is Artificial Intelligence ? Available online: (accessed on 11 September 2018) Dziţac, I. (2008). Inteligență artificială , Arad, Ed. Universității „Aurel Vlaicu”. The English Oxford Living Dictionary , Available online: (accessed on 22 September 2018). The Encyclopaedia Britannica , Available online: (accessed on 22 September 2018). Kurzweil, R. (2005

References Maier, R. Knowledge Management Systems. 3rd ed., Springer-Verlag Berlin. 2007, 720 p. Metaxiotis, K. Decision support through knowledge management: the role of the artificial intelligence. Information Management & Computer Security , Vol. 11, No. 5, 2003, pp. 216-221. Fernandes, A. A. A. Combining Inductive and Deductive Inference in Knowledge Management Tasks. In: Proceedings of the 11th International Workshop on Database and Expert Systems Applications DEXA'00. 2000. Grimm, S., Hitzler, P., Abecker, A. Knowledge Representation and

from Hallevy, G. 2010. The Criminal Liability of Artificial Intelligence Entities. Retrieved from Human Connectome Project. Retrieved from Huttunen, A.; Kulovesi, J.; Brace, W.; Lechner, L.G.; Silvennoinen, K.; and Kantola, V. 2010. Liberating Intelligent Machines with Financial Instruments. Retrieved from

Pattern Recognition Going Deeper with Convolutions, In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). [4] K. Wongsuphasawat et al., Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow, IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 1, pp. 1-12, Jan. 2018. [5] Rutkowski, Leszek, Image classification with recurrent attention models, In: Artificial Intelligence and Soft Computing, 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29 -May 3, 2012: Proceedings. Springer, 2012. [6] Ian Miell

References Almohammadi, K., Hagras, H., Alghazzawi, D., Aldabbagh, G. (2017). A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms. Journal of Artificial Intelligence and Soft-Computing Research , 7(1), 47-64. Amini, A., Soleimany, A., Schwarting, W., Bhatia, S., Rus, D., (2019). Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure, Conference on Artificial Intelligence, Ethics and Society. Athalye, A, Engstrom, L., Ilyas, A., Kwok, K., (2018). Synthesizing Robust Adversarial

University Press, USA Przegląd Strategii Rozwoju Sztucznej Inteligencji na Świecie 2018. Fundacja Digital Poland, Wydanie I, Warszawa, Poland. Russell S. J., Norvig P., 2003. Artificial Intelligence: A Modern Approach , Prentice Hall, New Jersey, USA. Senge P. M., 1990. The Fifth Discipline: The art and practice of the learning organization , Doubleday, New York, USA. Suchacka M., 2014. Transformacja regionu przemysłowego w kierunku regionu wiedzy. Studium socjologiczne województwa śląskiego , Wydawnictwo Uniwersytet Śląski, Katowice, Poland. Suchacka M., Szczepański M

: Requirements and Possibilities. In Müller, V. C., ed., Philosophy and Theory of Artificial Intelligence 2017 . Berlin: Springer. 117–135. Birnbaum, L. 1991. Rigor mortis: a response to Nilsson’s “Logic and artificial intelligence”. Artificial Intelligence 47:57–77. Bostrom, N. 2014. Superintelligence: Paths, Dangers, Strategies . Oxford, UK: Oxford University Press, 1st edition. Brachman, R. J. 2006. (AA)AI — more than the sum of its parts, 2005 AAAI Presidential Address. AI Magazine 27(4):19–34. Cabrol, N. A. 2016. Alien Mindscapes – A Perspective on the Search for

.” In Enhancing human capabilities, ed. J. Savulescu, R. ter Meulen, and G. Kahane. Oxford: Wiley- Blackwell: 486-500. Picard, R. W. (2000). Affective Computing, MIT Press. Plato (1997). Plato: complete works. Indianapolis, Hackett. Rowe, C. J., & Broadie, S. (2002). Nicomachean ethics. Oxford University Press, USA. Sauer, J., et al. (2015). “Experience of automation failures in training: effects on trust, automation bias, complacency and performance.” Ergonomics: 1-14. Savulescu, J. and H. Maslen (2015). Moral Enhancement and Artificial Intelligence: Moral AI? Beyond

, Cracow, Poland , Vol. 3, pp. III-313–316. Sałat, R. and Osowski, S. (2011). Support vector machine for soft fault location in electrical circuits, Journal of Intelligent and Fuzzy Systems 22 (1): 21–31. Samanta, B. and Nataraj, C. (2009). Use of particle swarm optimization for machinery fault detection, Engineering Applications of Artificial Intelligence 22 (2): 308–316. Simani, S. (2013). Residual generator fuzzy identification for automotive diesel engine fault diagnosis, International Journal of Applied Mathematics and Computer Science 23 (2): 419–438, DOI: 10