Page 299 - Artificial Intelligence in the Age of Neural Networks and Brain Computing
P. 299

292    CHAPTER 14 Meaning Versus Information, Prediction Versus Memory




                         [11] E.A. Silver, On mathematical problem posing, For the Learning of Mathematics 14 (1)
                             (February 1, 1994) 19e28.
                         [12] J. Schmidhuber, Powerplay: training an increasingly general problem solver by contin-
                             ually searching for the simplest still unsolvable problem, Frontiers in Psychology
                             (2013) 4.
                         [13] M. Cakmak, A.L. Thomaz, Designing robot learners that ask good questions, in: Pro-
                             ceedings of the Seventh Annual ACM/IEEE International Conference on Human-
                             Robot Interaction, March 5, 2012, ACM, 2012, pp. 17e24.
                         [14] I. Misra, R. Girshick, R. Fergus, M. Hebert, A. Gupta, L. van der Maaten, Learning by
                             Asking Questions, December 4, 2017 arXiv preprint arXiv:1712.01238.
                         [15] F. Liu, T. Xiang, T.M. Hospedales, W. Yang, C. Sun, iVQA: Inverse Visual Question
                             Answering, October 10, 2017 arXiv preprint arXiv:1710.03370.
                         [16] T. Mikolov, I. Sutskever, K. Chen, G.S. Corrado, J. Dean, Distributed representations of
                             words and phrases and their compositionality, in: Advances in Neural Information
                             Processing Systems, 2013, pp. 3111e3119.
                         [17] L. Wittgenstein, Philosophical Investigations, in: Anscombe, G.E.M., Rhees, R. (Eds.),
                             (G.E.M. Anscombe, Trans.), Blackwell, Oxford, 1953.
                         [18] A.M. Glenberg, D.A. Robertson, Symbol grounding and meaning: a comparison of
                             high-dimensional and embodied theories of meaning, Journal of Memory and Language
                             43 (3) (October 31, 2000) 379e401.
                         [19] J.K. O’Regan, A. Noe ¨, A sensorimotor account of vision and visual consciousness,
                             Behavioral and Brain Sciences 24 (5) (October 2001) 939e973.
                         [20] R. Reams, Y. Choe, Emergence of tool construction in an articulated limb controlled by
                             evolved neural circuits, in: Neural Networks (IJCNN), 2017 International Joint Confer-
                             ence on, May 14, 2017, IEEE, 2017, pp. 642e649.
                         [21] A.G. Barto, S. Singh, N. Chentanez, Intrinsically motivated learning of hierarchical col-
                             lections of skills, in: Proceedings of the 3rd International Conference on Development
                             and Learning, October 20, 2004, 2004, pp. 112e119.
                         [22] E. Bengio, V. Thomas, J. Pineau, D. Precup, Y. Bengio, Independently Controllable
                             Features, March 22, 2017 arXiv preprint arXiv:1703.07718.
                         [23] H.F. Yang, Y. Choe, Co-development of visual receptive fields and their motor-primitive-
                             based decoding scheme, in: Proceedings of the International Joint Conference on Neural
                             Networks 2007 Post Conference Workshop on Biologically-inspired Computational
                             Vision, 2007. http://faculty.cs.tamu.edu/choe/ftp/publications/yang.biovis07.pdf.
                         [24] J.R. Chung, Y. Choe, Emergence of memory in reactive agents equipped with envi-
                             ronmental markers, IEEE Transactions on Autonomous Mental Development 3 (3)
                             (September 2011) 257e271.
                         [25] A. Graves, G. Wayne, M. Reynolds, T. Harley, I. Danihelka, A. Grabska-Barwi  nska,
                             S.G. Colmenarejo, E. Grefenstette, T. Ramalho, J. Agapiou, A.P. Badia, Hybrid
                             computing using a neural network with dynamic external memory, Nature 538 (7626)
                             (October 27, 2016) 471e476.
                         [26] C. Finn, S. Levine, Deep Visual Foresight for Planning Robot Motion, October 3, 2016
                             arXiv preprint arXiv:1610.00696.
                         [27] D. Held, X. Geng, C. Florensa, P. Abbeel, Automatic Goal Generation for Reinforce-
                             ment Learning Agents, May 17, 2017 arXiv preprint arXiv:1705.06366.
   294   295   296   297   298   299   300   301   302   303   304