[
ABRAMSON, C. & LEVIN, M. (2021): Behaviorist approaches to investigating memory and learning: A primer for synthetic biology and bioengineering. In: Communicative & Integrative Biology, 14, pp. 230–247.
]Search in Google Scholar
[
ABRAMSON, C. & WELLS, H. (2018): An inconvenient truth: Some neglected issues in invertebrate learning. In: Perspectives on Behavior Science, 41(2), pp. 395–416.
]Search in Google Scholar
[
ABRAMSON, C., DINGES, C. W. & WELLS, H. (2016): Operant conditioning in honey bees (Apis mellifera L.): The cap pushing response. In: PLoS ONE, 11(9), p. e0162347.
]Search in Google Scholar
[
ABRAMSON, C. (2013): Problems of teaching the behaviorist perspective in the cognitive revolution. In: Behavioral Sciences, 3(1), pp. 55–71.
]Search in Google Scholar
[
AGRAWAL, A., GANS, J. & GOLDFARB, A. (2018): Prediction machines: The simple economics of artificial intelligence. Boston: Harvard Business Review Press.
]Search in Google Scholar
[
AMODIO, P., BOECKLE, M., SCHNELL, A. K., OSTOJÍC, L., FIORITO, G. & CLAYTON, N. S. (2019): Grow smart and die young: Why did cephalopods evolve intelligence? In: Trends in Ecology & Evolution, 34(1), pp. 45–56.
]Search in Google Scholar
[
ANDERSON, R. C. & MATHER, J. A. (2010): It’s all in the cues: Octopuses (Enteroctopus dofleini) learn to open jars. In: Ferrantia, 59, pp. 8–13.
]Search in Google Scholar
[
BLOCK, N. (1981): Psychologism and behaviorism. In: Philosophical Review, 90, pp. 5–43.
]Search in Google Scholar
[
BOAL, J. G., DUNHAM, A. W., WILLIAMS, K. T. & HANLON, R. T. (2000): Experimental evidence for spatial learning in octopuses (Octopus bimaculoides). In: Journal of Comparative Psychology, 114, pp. 246–252.
]Search in Google Scholar
[
BRADLEY, E.A. (1974): Some observations of Octopus joubini reared in an inland aquarium. In: Journal of Zoology, 173, pp. 355–368.
]Search in Google Scholar
[
BROWNING, H. (2019): What is good for an octopus? In: Animal Sentience, 26. [online] [Retrieved June 9, 2022] Available at: https://philarchive.org/archive/BROWIG-4
]Search in Google Scholar
[
CLARK, A. (2016): Surfing uncertainty. Prediction, action, and the embodied mind. Oxford: Oxford University Press.
]Search in Google Scholar
[
DIAMOND, J. (1992): The third chimpanzee: The evolution and future of the human animal. New York: HarperCollins Publishers.
]Search in Google Scholar
[
DUNBAR, R. I. M. (1998): The social brain hypothesis. In: Evolutionary Anthropology, 6, pp. 178–190.
]Search in Google Scholar
[
FINN, J. K., TREGENZA, T. & NORMAN, M. D. (2009): Defensive tool use in a coconut-carrying octopus. In: Current Biology, 19, pp. R1069–R1070.
]Search in Google Scholar
[
FIORITO, G., BIEDERMAN, G. B., DAVEY, V. A. & GHERARDI, F. (1998): The role of stimulus preexposure in problem solving by Octopus vulgaris. In: Animal Cognition, 1, pp. 107–112.
]Search in Google Scholar
[
FIORITO, G., VON PLANTA, C. & SCOTTO, P. (1990): Problem solving ability of Octopus vulgaris lamarck (Mollusca, Cephalopoda). In: Behavioral and Neural Biology, 53, pp. 217–230.
]Search in Google Scholar
[
FOX, K. C. R., MUTHUKRISHNA, M. & SHULTZ, S. (2017): The social and cultural roots of whale and dolphin brains. In: Nature Ecology & Evolution, 1, pp. 1699–1705.
]Search in Google Scholar
[
GODFREY-SMITH, P. (2018): Other minds: The octopus and the evolution of intelligent life. London: WilliamCollins.
]Search in Google Scholar
[
GODFREY-SMITH, P. (2017): The mind of an octopus. Eight smart limbs plus a big brain add up to a weird and wondrous kind of intelligence. In: Scientific American. [online] [Retrieved December 4, 2021] Available at: https://www.scientificamerican.com/article/the-mind-of-an-octopus/
]Search in Google Scholar
[
GODFREY-SMITH, P. (2013): Cephalopods and the evolution of the mind. In: Pacific Conservation Biology, 19, pp. 4–9.
]Search in Google Scholar
[
HANLON, R. T. & MESSENGER, J. B. (2018): Cephalopod behaviour. Cambridge: Cambridge University Press.
]Search in Google Scholar
[
HAUGELAND, J. (1997): What is mind design? In. J. Haugeland (ed.): Mind design II: Philosophy, psychology, and artificial intelligence. Cambridge, MA: Bradford Books, pp. 1–28.
]Search in Google Scholar
[
HOFFMANN, C. H. (2022a): The quest for a universal theory of intelligence: The mind, the machine, and singularity hypotheses. Berlin: De Gruyter.
]Search in Google Scholar
[
HOFFMANN, C. H. (2022b): Nietzschean perspectives on intelligence: In need of more plurality for making sense of intelligence. In: Journal of Artificial Intelligence Humanities, 10, pp. 9–52.
]Search in Google Scholar
[
HOFFMANN, C. H. & DAHLINGER, A. (2019): How capitalism abolishes itself in the digital era in favour of robo-economic systems: socio-economic implications of decentralized autonomous self-owned businesses. In: Foresight, 22(1), pp. 53–67.
]Search in Google Scholar
[
HOFFMANN, C. H. (2018): Die Kunst der Vorhersage. Buchbesprechung [Prediction machines: The simple economics of Artificial Intelligence]. Springer Spektrum. [online] [Retrieved November 7, 2021] Available at: https://www.spektrum.de/rezension/buchkritik-zu-prediction-machines/1603000
]Search in Google Scholar
[
HUEBNER, B. (2018): Kinds of collective behavior and the possibility of group minds. In. K. Andrews & J. Beck (eds.): The Routledge handbook of philosophy of animal minds. New York: Routledge, pp. 390–397.
]Search in Google Scholar
[
HUMPHREY, N. (1976). The social function of intellect. In. P. P. G. Bateson & R. A. Hinde (eds.): Growing points in ethology. Cambridge: Cambridge University Press, pp. 303–317.
]Search in Google Scholar
[
JELBERT, S. A., MILLER, R., SCHIESTI, M., BOECKLE, M., CHEKE, L., GRAY, R., TAYLOR, A. & CLAYTON, N. (2019): New Caledonian crows infer the weight of objects from observing their movements in a breeze. In: Proceedings of the Royal Society B: Biological Sciences, 286, p. 20182332.
]Search in Google Scholar
[
JELBERT, S. A., TAYLOR, A. H., CHEKE, L. G., CLAYTON, N. S. & GRAY, R. D. (2014): Using the Aesop’s fable paradigm to investigate causal understanding of water displacement by new Caledonian crows. In: PloS ONE, 9(3), p. e92895.
]Search in Google Scholar
[
JENSEN, A. (1998): The g factor: The science of mental ability. In: Psycoloquy. [online] [Retrieved November 20, 2022] Available at: http://psychprints.ecs.soton.ac.uk/archive/00000658/.
]Search in Google Scholar
[
KAUTZ, H. (2020): The third AI summer, AAAI Robert S. Engelmore Memorial lecture, Thirty-fourth AAAI conference on artificial intelligence. New York, February 10, 2020. [online] [Retrieved January 12, 2022] https://www.cs.rochester.edu/u/kautz/talks/index.html.
]Search in Google Scholar
[
KÖHLER, W. (1925/1976): The mentality of apes. New York: Liveright Publishing.
]Search in Google Scholar
[
KURZWEIL, R. (2006): The singularity is near: When humans transcend biology. New York: Penguin.
]Search in Google Scholar
[
LA METTRIE, J. O. (1748/1990): Die Maschine Mensch: L’homme machine, ed. and transl. C. Becker. Hamburg: Meiner.
]Search in Google Scholar
[
LEVESQUE, H. J. (2018): Common sense, the Turing test, and the quest for real AI. Cambridge: MIT Press.
]Search in Google Scholar
[
MATTHEN, M. (2018): Novel colours in animal perception. In. K. Andrews & J. Beck (eds.): The Routledge handbook of philosophy of animal minds. New York: Routledge, pp. 65–75.
]Search in Google Scholar
[
MONTGOMERY, S. (2016): The soul of an octopus: A surprising exploration into the wonder of consciousness. New York: Simon & Schuster.
]Search in Google Scholar
[
NAKAMOTO, S. (2008): Bitcoin: A peer-to-peer electronic cash system. [online] [Retrieved June 6, 2022] Available at: https://bitcoin.org/bitcoin.pdf
]Search in Google Scholar
[
NEWELL, A. & SIMON, H. A. (1976/1997): Computer science as empirical inquiry: Symbols and search. In. J. Haugeland (ed.): Mind design II: Philosophy, psychology, and artificial intelligence. Cambridge, MA: Bradford Books, pp. 81–110.
]Search in Google Scholar
[
NILSSON, N. (ed.) (1984): Shakey The robot. Technical Note 323. Menlo Park, CA: AI Center, SRI International.
]Search in Google Scholar
[
NOAD, M., CATO, D., BRYDEN, M., JENNER, M. N. & JENNER, K. C. S. (2000): Cultural revolution in whale songs. In: Nature, 408, p. 537.
]Search in Google Scholar
[
OLKOWICZ, S., KOCOUREK, M., LUČAN, R. K., PORTEŠ, M., FITCH, W. T., HERCULANO-HOUZEL, S. & NĚMECA, P. (2016): Birds have primate-like numbers of neurons in the forebrain. In: Proceedings of the National Academy of Sciences of the United States of America, 113(26), pp. 7255–7260.
]Search in Google Scholar
[
RAJANI, S. (2011): Artificial intelligence – man or machine. In: International Journal of Information Technology, 4(1), pp. 173–176.
]Search in Google Scholar
[
RICHTER, J. N., HOCHNER, B. & KUBA, M. J. (2016): Pull or push? Octopuses solve a puzzle problem. In: PLoS ONE, 11(3), p. e0152048.
]Search in Google Scholar
[
ROBINSON, A. (2020): The code-breakers who led the rise of computing. In: Nature, 586, pp. 492–493.
]Search in Google Scholar
[
SCALES, H. (2020): How many hearts does an octopus have? In: BBC Science Focus Magazine. [online] [Retrieved December 4, 2021] Available at: https://www.sciencefocus.com/nature/why-does-an-octopus-have-more-than-one-heart/(04-12-21).
]Search in Google Scholar
[
SEBEOK, T. (ed.). (1981): The clever Hans phenomenon: Communication with horses, whales, apes, and people. In: Annals of the New York Academy of Sciences, 364, pp. vii–viii; pp. 1–309.
]Search in Google Scholar
[
SEMMENS, J. M., PECL, G. T., VILLANUEVA, R., JOUFFRE, D., SOBRINO, I., WOOD, J. B. & RIGBY, P.R. (2004). Understanding octopus growth: patterns, variability and physiology. In: Marine and Freshwater Research, 55(4), pp. 367–377.
]Search in Google Scholar
[
SHIGENO, S., ANDREWS, P., PONTE, G., & FIORITO, G. (2018): Cephalopod brains: An overview of current knowledge to facilitate comparison with vertebrates. In: Frontiers in Physiology, 9, p. 952.
]Search in Google Scholar
[
SILVER, D., SCHRITTWIESER, J., SIMONYAN, K. & ANTONOGLOU, I. (2017): Mastering the game of Go without human knowledge. In: Nature, 550, pp. 354–359.
]Search in Google Scholar
[
SILVER, D. & HASSABIS, D. (2016): AlphaGo: Mastering the ancient game of Go with Machine Learning. Google AI Blog. [online] [Retrieved March 15, 2022]Available at: https://ai.googleblog.com/2016/01/alphago-mastering-ancient-game-of-go.html
]Search in Google Scholar
[
STADDON, J. E. R. (1983): Adaptive behavior and learning. Cambridge: Cambridge University Press.
]Search in Google Scholar
[
STERNBERG, R. J. (2019): A theory of adaptive intelligence and its relation to general intelligence. In: Journal of Intelligence, 7(4), p. 23.
]Search in Google Scholar
[
TEGMARK, M. (2018): Life 3.0. Being human in the age of Artificial Intelligence. London: Penguin.
]Search in Google Scholar
[
THE GUARDIAN. (2022): Octopi were around before dinosaurs, fossil find suggests. [online] [Retrieved June 6, 2021] Available at: https://www.theguardian.com/science/2022/mar/08/octopi-were-around-before-dinosaurs-fossil-find-suggests
]Search in Google Scholar
[
WINOGRAD, T. (1972): Understanding natural language. San Diego: Academic Press.
]Search in Google Scholar