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Foundations of Computing and Decision Sciences
The Journal of Poznan University of Technology
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Implications of Pooling Strategies in Convolutional Neural Networks: A Deep Insight

References [1] Reddit, Machine Learning . Available: https://www.reddit.com/r/MachineLearning/comments/2lmo0l/ama_geoffrey_hinton/clyj4jv/ [2] Achille A., Soatto S., Information dropout: Learning optimal representations through noisy computation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 2897-2905. [3] Boureau Y.-L., Le Roux N., Bach F., Ponce J., LeCun Y., Ask the locals: multi-way local pooling for image recognition, in Computer Vision (ICCV), 2011 IEEE International Conference on , 2011, 2651-2658. [4

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Formalization of Evidence: A Comparative Study

(4):282-302. Wang, P. 2006. Rigid Flexibility: The Logic of Intelligence . Dordrecht: Springer. Wason, P. C., and Johnson-Laird, P. N. 1972. Psychology of Reasoning: Structure and Content . Cambridge, Massachusetts: Harvard University Press. Zadeh, L. A. 1975. The concept of a linguistic variable and its application to approximate reasoning. Information Sciences 8:199-249, 8:301-357, 9:43-80.

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Is Brain Emulation Dangerous?

,2005. Annas, G. J.; Andrews, L. B.; Isasi, R. M. 2002. Protecting the endangered human: toward an international treaty prohibiting cloning and inheritable alterations. Am J Law Med. 28(2-3):151-78. Armstrong, S. 2011. World funds: implement free mitigations, November 10 2011. http://blog.practicalethics.ox.ac.uk/2011/11/world-funds-implement-free-mitigations/ Bostrom, N. 2004. The future of human evolution. In Death and Anti-Death: Two Hundred Years After Kant, Fifty Years After Turing, ed. Charles Tandy. Ria

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A Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles

), 417–457. Semeraro, G., Lops, P., De Gemmis, M., & Basile, P. (2012). An Artificial Player for a Language Game. IEEE Intelligent Systems , 27 (5), 36–43. doi:10.1109/MIS.2011.37 Shazeer, N. M., Littman, M. L., & Keim, G. A. (1999). Crossword Puzzles as Constraint Satisfaction Problems. In Proceedings of the 16th National Conference on Artificial Intelligence (pp. 156–162). AAAI. Retrieved from http://www.cs.columbia.edu/~evs/ais/finalprojs/steinthal/ Stephenson, H. (2013, November 26). Araucaria: “He never dumbed down.” The Guardian

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On Mathematical Proving

a Theorem”. Elemente der Mathematik 55 , pp. 19-37. Kolmogorov, Andrei N. 1932. „Zur Deutung der intuitionistischen Logik“, Mathematische Zeitschrift 35 , pp. 58–65. English translation in V.M. Tikhomirov (ed.) Selected Works of A.N. Kolmogorov . Vol. I: Mathematics and Mechanics , 151-158. Kluwer, Dordrecht, 1991. Kolmogorov, Andrei N. 1988. “Letters of A. N. Kolmogorov to A. Heyting”, Успехи математических наук ( Uspekhi Matematicheskikh Nauk ), 43 (6), pp. 75-77; English translation, Russian Mathematical Surveys , 43 (6), pp. 89

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Unnatural Selection: Seeing Human Intelligence in Artificial Creations

. Wired Magazine 13.07. Giora, R.; Fein, O.; Kronrod, A.; Elnatan, I.; Shuval, N.; and Zur, A. 2004. Weapons of Mass Distraction: Optimal Innovation and Pleasure Ratings. Metaphor and Symbol 19(2):115–141. Glucksberg, S. 1998. Understanding metaphors. Current Directions in Psychological Science 7:39–43. Hughes, R. 1991. The Shock of the New: Art and the century of change . London, UK: Thames and Hudson. Hutton, J. 1982. Aristotle’s Poetics . New York, NY: Norton. Kazemi, D. 2015. TinySubversions.com. Web-site. Kuenzli, R. E

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Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction

://authors.library.caltech.edu/7694 Harnad, S. 1991. Other bodies, other minds: A machine incarnation of an old philisophical problem. Minds and Machines 1:43-54. Hutter, M. 2005. Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability . Berlin Heidelberg: Springer-Verlag. Kennedy, J. F. 1961. Man on the Moon Address. http://www.homeofheroes.com/presidents/speeches/kennedy_space.html Kokinov, B. N. 1994. The DUAL cognitive architechture: A hybrid multi

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Feature Reinforcement Learning: Part I. Unstructured MDPs

Problems: Sequential Allocation of Experiments . London: Chapman and Hall. Brafman, R. I., and Tennenholtz, M. 2002. R-max - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning. Journal of Machine Learning Research 3:213-231. Cover, T. M., and Thomas, J. A. 2006. Elements of Information Theory . Wiley-Intersience, 2nd edition. Dearden, R.; Friedman, N.; and Andre, D. 1999. Model based Bayesian Exploration. In Proc. 15th Conference on Uncertainty in Artificial

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The Sigma Cognitive Architecture and System: Towards Functionally Elegant Grand Unification

integrated theory of the mind. Psychological Review . 111: 1036-1060. Badler, N. I. 1997. Real-time virtual humans. In Proceedings of the IEEE Workshop on Non-Rigid and Articulated Motion , 28-36. Bach, J. 2015. Modeling motivation in MicroPsi 2. In Proceedings of the 8th Conference on Artificial General Intelligence , 3-13. Bailey, T.; and Durrant-Whyte, H. 2006. Simultaneous localisation and mapping (SLAM): Part II State of the art. Robotics and Automation Magazine . 13: 108–117. Bell, C. G.; and Newell, A. 1971. Computer Structures: Readings

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