Zenil, H., Gershenson, C., Marshall, J.A.R., Rosenblueth, D.: Life as thermodynamic evidence of algorithmic structure in natural environments. Entropy 14(11), 2173–2191 (2012)
MathSciNet
CrossRef
Google Scholar
Ciresan, D.C., Meier, U., Masci, J., Schmidhuber, J.: Multi-column deep neural network for traffic sign classification. Neural Netw. 32, 333–338 (2012)
CrossRef
Google Scholar
Wolfram, S.: A New Kind of Science. Wolfram Media (2002)
Google Scholar
Cook, M.: Universality in elementary cellular automata. Complex Syst. 15, 1–40 (2004)
MathSciNet
MATH
Google Scholar
Zenil, H.: Compression-based investigation of the behaviour of cellular automata and other systems. Complex Syst. 19(2) (2010)
Google Scholar
Perlis, A.J.: Epigrams on programming. SIGPLAN Not. 17(9), 7–13 (1982)
CrossRef
Google Scholar
Cronin, L., Krasnogor, N., Davis, B.G., Alexander, C., Robertson, N., Steinke, J.H.G., Schroeder, S.L.M., Khlobystov, A.N., Cooper, G., Gardner, P.M., Siepmann, P., Whitaker, B.J., Marsh, D.: The imitation game—a computational chemical approach to recognizing life. Nat. Biotechnol. 24, 1203–1206 (2006)
Google Scholar
Zenil, H., Ball, G., Tegnér, J.: Testing biological models for non-linear sensitivity with a programmability test. In: Liò, P., Miglino, O., Nicosia, G., Nolfi, S., Pavone, M. (eds.) Advances in Artificial Intelligence, ECAL 2013, pp. 1222–1223. MIT Press, Cambridge (2013). https://doi.org/10.7551/978-0-262-31719-2-ch188
Maier, R., Zimmer, R., Kü ffner, R.: A Turing test for artificial expression data. Bioinformatics 29(20), 2603–2609 (2013)
Google Scholar
Zenil, H.: What is nature-like computation? A behavioural approach and a notion of programmability. Philos. Technol. (2012). https://doi.org/10.1007/s13347-012-0095-2
CrossRef
Google Scholar
Zenil, H.: A turing test-inspired approach to natural computation. In: Primiero, G., De Mol, L. (eds.) Turing in Context II, Historical and Contemporary Research in Logic, Computing Machinery and Artificial Intelligence. Proceedings by the Royal Flemish Academy of Belgium for Science and the Arts, Belgium (2013)
Google Scholar
Osawa, H., Tobita, K., Kuwayama, Y., Imai, M., Yamada, S.: Behavioral turing test using two-axis actuators. In: IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication (2012)
Google Scholar
Chaitin, G.J.: On the length of programs for computing finite binary sequences: statistical considerations. J. ACM 16(1), 145–159 (1969)
MathSciNet
CrossRef
Google Scholar
Kolmogorov, A.N.: Three approaches to the quantitative definition of information. Probl. Inf. Trans. 1(1), 1–7 (1965)
MathSciNet
Google Scholar
Delahaye, J.-P., Zenil, H.: Numerical evaluation of the complexity of short strings: a glance into the innermost structure of algorithmic randomness. Appl. Math. Comput. 219, 63–77 (2012)
MATH
Google Scholar
Soler-Toscano, F., Zenil, H., Delahaye, J.-P., Gauvrit, N.: Calculating Kolmogorov complexity from the output frequency distributions of small turing machines. PLoS ONE 9(5), e96223 (2014)
CrossRef
Google Scholar
Zenil, H.: On the dynamic qualitative behaviour of universal computation. Complex Syst. 20(3) (2012)
Google Scholar
Zenil, H.: Programmability for natural computation and the game of life as a case study. J. Exp. Theor. Artif. Intell. https://doi.org/10.1080/0952813X.2014.940686 (in press)
Floridi, L.: Enveloping the world: risks and opportunities in the development of increasingly smart technologies. CONNECT (ed.), 03 Jun 2011. http://ec.europa.eu/digital-agenda/en/blog/enveloping-the-world-risks-and-opportunities-in-the-development-of-increasingly-smart-technologies. Accessed 15 July 2014
Prokopenko, X., Gerasimov, V., Tanev, I.: Measuring spatiotemporal coordination in a modular robotic system. In: Proceedings of Artificial Life X (2006)
Google Scholar
Levin, L.: Laws of information conservation (non-growth) and aspects of the foundation of probability theory. Probl. Inf. Trans. 10(3), 206–210 (1974)
Google Scholar
Terrazas, G., Zenil, H., Krasnogor, N.: Exploring programmable self-assembly in non DNA-based computing. Nat. Comput. 12(4), 499–515 (2013)
MathSciNet
CrossRef
Google Scholar
Gauvrit, N., Zenil, H., Soler-Toscano, F., Delahaye, J.-P.: Algorithmic complexity for short binary strings applied to psychology: a primer, Behavior Research Methods, 6 Dec 2013 (epub ahead of print)
Google Scholar