Bibliography in APA format

Abdai, J., Bano Terencio, C., Perez Fraga, P., & Miklósi, Á. (2018). Investigating jealous behaviour in dogs. Scientific Reports, 8(1), 8911.

Acemoglu, D., & Restrepo, P. (2017). Robots and jobs: Evidence from US labor markets. NBER working paper(w23285).

Adler, J. E., & Rips, L. J. (Eds.). (2008). Reasoning: Studies of inference and its foundations. Cambridge: Cambridge University Press.

Ai, H., Kai, K., Kumaraswamy, A., Ikeno, H., & Wachtler, T. (2017). Interneurons in the honeybee primary auditory center responding to waggle dance-like vibration pulses. Journal of neuroscience, 37(44), 10624-10635.

Alem, S., Perry, C. J., Zhu, X., Loukola, O. J., Ingraham, T., Sovik, E., & Chittka, L. (2016). Associative mechanisms Aalow for social learning and cultural transmission of string pulling in an insect. PLOS Biology, 14(10), e1002564.

Allen, C., & Trestman, M. (2014). Animal consciousness.Stanford Encyclopedia of Philosophy. Retrieved from

Altschul, D. M., Wallace, E. K., Sonnweber, R., Tomonaga, M., & Weiss, A. (2017). Chimpanzee intellect: personality, performance and motivation with touchscreen tasks. Royal Society Open Science, 4(5), 170169.

Andersen H, Shen X, Eng Y, R. D., & Ang MH, J. (2017). Connected cooperative control of autonomous vehicles during unexpected road situations. Mechanical Engineering., 139(12), S3-S7.

Anderson, J. R. (1993). Rules of the mind. Hillsdale, NJ: Erlbaum.

Andrews, K. (2015). The animal mind: An introduction to the philosophy of animal cognition. Abingdon: Routledge.

Andrews, K. (2020). How to study animal minds. Cambridge: Cambridge University Press.

Andrews, P. L., Darmaillacq, A.-S., Dennison, N., Gleadall, I. G., Hawkins, P., Messenger, J. B., . . . Smith, J. A. (2013). The identification and management of pain, suffering and distress in cephalopods, including anaesthesia, analgesia and humane killing. Journal of Experimental Marine Biology and Ecology, 447, 46-64.

Avargues-Weber, A., d’Amaro, D., Metzler, M., Finke, V., Baracchi, D., & Dyer, A. G. (2018). Does holistic processing require a large brain? Insights from honeybees and wasps in fine visual recognition tasks. Frontiers in Psychology, 9, 1313. Retrieved from

Avarguès-Weber, A., Mota, T., & Giurfa, M. (2012). New vistas on honey bee vision. Apidologie, 43(3), 244-268.

Baillergeon, R., Scott, R. M., & Bian, L. (2016). Psychological reasoning in infancy. Annual  Review of Psychology, 67, 159-186.

Baluška, F., & Reber, A. (2019). Sentience and consciousness in single cells: How the first minds emerged in unicellular species. BioEssays, 41(3), 1800229.

Baracchi, D., Lihoreau, M., & Giurfa, M. (2017). Do insects have emotions? Some insights from bumble bees. Frontiers in Behavioural Neuroscience, 11, 157. Retrieved from

Barbey, A. K. (2018). Network neuroscience theory of human intelligence. Trends in Cognitive Sciences, 22(1), 8-20.

Barrett, L. F., Lewis, M., & Haviland-Jones, J. M. (Eds.). (2016). Handbook of Emotions(4th ed.). New York: Guilford.

Barron, A. B., & Klein, C. (2016). What insects can tell us about the origins of consciousness. Proceedings of the Natlional Academy of Sciences, 113(18), 4900-4908. Retrieved from

Barry, D. (1990). Dave Barry turns 40. New York: Ballantine.

Bateson, M., Desire, S., Gartside, S. E., & Wright, G. A. (2011). Agitated honeybees exhibit pessimistic cognitive biases.Current Biology, 21(12), 1070-1073. Retrieved from

Bayern, A., Danel, S., Auersperg, A. M. I., Mioduszewska, B., & Kacelnik, A. (2018). Compound tool construction by New Caledonian crows. Scientific Reports, 8(1), 15676. Retrieved from

Bearzi M, & CB, S. (2008). Beautiful minds: The parallel lives of great apes and dolphins.Cambridge, MA: Harvard University Press.

Beauchamp, T. L., & Childress, J. F. (2013). Principles of biomedical ethics. New York: Oxford University Press.

Bechtel, W. (2008). Mental mechanisms:  Philosophical perspectives on cognitive neuroscience. New York: Routledge.

Bechtel, W., & Mundale, J. (1999). Multiple realizability revisited: Linking cognitive and neural states. Philosophy of Science, 66, 175-207.

Bekoff, M. (2007). The emotional lives of animals. Novato, CA: New World Library.

Bekoff, M., & Pierce, J. (2009). Wild justice: The moral lives of animals. Chicago: University of  Chicago Press.

Benatar, D. (2006). Better never to have been born. Oxford: Clarendon Press.

Bendel, O. (2013). Considerations about the relationship between animal and machine ethics. Ai & Society, 31(1), 103-108.

Bensky, M. K., Gosling, S. D., & Sinn, D. L. (2013). The world from a dog’s point of view. Advances in the Study of Behavior, 45, 209-406.

Beran, M. J., & Hopkins, W. D. (2018). Self-control in chimpanzees relates to general intelligence. Current Biology, 28(4), 574-579. e573.

Berns, G. (2017). What it’s like to be a dog, and other adventures in animal neuroscience. New York: Basic Books.

Berns, G. S., Brooks, A. M., & Spivak, M. (2015). Scent of the familiar: an fMRI study of canine brain responses to familiar and unfamiliar human and dog odors. Behavioral Processes, 110, 37-46.

Berwick, R. C., & Chomsky, N. (2016). Why only us: Language and evolution. Cambridge, MA: MIT Press.

Birkhead, T. (2012). Bird sense: What it’s like to be a bird. London: Bloomsbury.

Blouw, P., Solodkin, E., Thagard, P., & Eliasmith, C. (2016). Concepts as semantic pointers:  A framework and computational model. Cognitive Science, 40, 1128-1162.

Bobrow, D. G., & Collins, A. (Eds.). (1975). Representation and understanding:  Studies in cognitive science. New York: Academic Press.

Boddington, P. (2017). Towards a code of ethics for artificial intelligence. Berlin: Springer.

Boden, M. (2004). The creative mind:  Myths and mechanisms(2nd ed.). London: Routledge.

Boden, M. (2006). Mind as machine:  A history of cognitive science. Oxford: Oxford University Press.

Boden, M., Bryson, J., Caldwell, D., Dautenhahn, K., Edwards, L., Kember, S., . . . Winfield, A. (2017). Principles of robotics: regulating robots in the real world. Connection Science, 29(2), 124-129.

Boden, M. A. (2010). Creativity and art: Three roads to surprise. Oxford: Oxford University Press.

Boden, M. A. (2018). Robot says: Whatever. Aeon. Retrieved from

Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford: Oxford University Press.

Bostrom, N., Dafoe, A., Flynn, C. (forthcoming). Policy desiderata for superintelligent AI: A vector field approach. In S. M. Liao (Ed.), Ethics of artificial intelligence. Oxford: Oxford University Press.

Botvinick, M., Ritter, S., Wang, J. X., Kurth-Nelson, Z., Blundell, C., & Hassabis, D. (2019). Reinforcement learning, fast and slow. Trends in Cognitive Sciences, 23, 408-422.

Braithwaite, V. (2010). Do fish feel pain?Oxford: Oxford University Press.

Brandeis, L., & Warren, S. (1890). The right to privacy. Harvard law review, 4, 193-220.

Brown, N., & Sandholm, T. (2019). Superhuman AI for multiplayer poker. Science, 365(6456), 885-890.

Caliskan, A., Bryson, J. J., & Narayanan, A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334), 183-186.

Cambria, E. (2016). Affective computing and sentiment analysis. IEEE Intelligent Systems, 31(2), 102-107.

Ceballos, G., Ehrlich, P. R., & Dirzo, R. (2017). Biological annihilation via the ongoing sixth mass extinction signaled by vertebrate population losses and declines. Proc Natl Acad Sci U S A, 114(30), E6089-E6096. doi:10.1073/pnas.1704949114

Chapman, C. A., & Huffman, M. A. (2018). Why do we want to think humans are different? Animal Sentience, 3(23).

Chen, Y., Elenee Argentinis, J. D., & Weber, G. (2016). IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research. Clinical Therapeutics, 38(4), 688-701. Retrieved from

Cheney, D. L., & Seyfarth, R. M. (2008). Baboon metaphysics: The evolution of a social mind. Chicago: University of Chicago Press.

Chittka, L. (2017). Bee cognition. Current Biology, 27(19), R1049-R1053.

Chittka, L., & Jensen, K. (2011). Animal cognition: concepts from apes to bees. Current Biology, 21(3), R116-119. Retrieved from

Clayton, N. S., Bussey, T. J., & Dickinson, A. (2003). Can animals recall the past and plan for the future? Nature Reviews Neuroscience, 4(8), 685.

Coeckelbergh, M. (2020). AI Ethics. Cambridge, MA: MIT Press.

Cook, P., Prichard, A., Spivak, M., & Berns, G. S. (2018). Jealousy in dogs? Evidence from brain imaging. Animal Sentience, 3(22), 1.

Cook, R. G., & Wasserman, E. A. (2007). Learning and transfer of relational matching-to-sample by pigeons. Psychonomic bulletin & review, 14(6), 1107-1114.

Copi, I. (1982). Introduction to logic(6th ed.). New York: Macmillan.

Corballis, M. C. (2011). The recursive mind: The origins of human language, thought, and civilization. Princeton: Princeton University Press.

Crook, R. J., Hanlon, R. T., & Walters, E. T. (2013). Squid have nociceptors that display widespread long-term sensitization and spontaneous activity after bodily injury. Journal of neuroscience, 33(24), 10021-10026.

Csibra, G., & Gergely, G. (2011). Natural pedagogy as evolutionary adaptation. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 366(1567), 1149-1157.

Cudney, P. (2014). What really separates casuistry from principlism in biomedical ethics. Theoretical medicine and bioethics, 35(3), 205-229. doi:10.1007/s11017-014-9295-3

Dacey, M. (2017). Anthropomorphism as cognitive bias. Philosophy of Science, 84(5), 1152-1164.

Damasio, A. R. (1994). Descartes’ error:  Emotion, reason, and the human brain. New York: G. P. Putnam’s Sons.

Damasio, A. R. (1999). The feeling of what happens: Body and emotion in the making of consciousness. New York: Harcourt Brace.

Darmaillacq, A.-S., Dickel, L., & Mather, J. (2014). Cephalopod cognition. Cambridge: Cambridge University Press.

Darwin, C. (1981 (Originally published 1871)). The descent of man, and selection in relation to sex. Princeton: Princeton University Press.

Dayan, P., & Abbott, L. F. (2001). Theoretical neuroscience:   Computational and mathematical modeling of neural systems. Cambridge, MA: MIT Press.

de Waal, F. B. M. (2013). The bonobo and the athiest: In search of humanism among the primates. New York: Norton.

de Waal, F. B. M. (2016). Are we smart enough to know how smart animals are?New York: Norton.

de Waal, F. B. M. (2019a). Fish, mirrors, and a gradualist perspective on self-awareness. PLOS Biology, 17(2), e3000112.

de Waal, F. B. M. (2019b). Mama’s last hug: Animal and human emotions. New York: Norton.

Dehaene, S. (2014). Consciousness and the brain: Deciphering how the brain codes our thoughts. New York: Viking.

Dehaene, S., Lau, H., & Kouider, S. (2017). What is consciousness, and could machines have it? Science, 358(6362), 486-492.

Dennett, D. C. (1983). Intentional systems in cognitive ethology: The “Panglossian paradigm” defended. Behavioral and Brain Sciences, 6(3), 343-390.

Descartes. (1985). The philosophical writings of Descartes.(J. C. e. al, Trans.). Cambridge: Cambridge University Press.

Dreyfus, H. L. (1992). What computers still can’t do(3rd ed.). Cambridge, MA: MIT Press.

du Sautoy, M. (2019). Creativity code: Art and innovation in the age of AI. Cambridge, MA: MIT Press.

Dunbar, R. I. (2009). The social brain hypothesis and its implications for social evolution. Annals of Human Biology, 36, 562-572.

Dymond, S., & Stewart, I. (2016). Relational and analogical reasoning in comparative cognition. International Journal of Comparative Psychology, 29(1).

Edsinger, E., & Dolen, G. (2018). A conserved role for serotonergic neurotransmission in mediating social behavior in octopus. Current Biology, 28(19), 3136-3142 e3134.

Eliasmith, C. (2013). How to build a brain:  A neural architecture for biological cognition. Oxford: Oxford University Press.

Emery, N. (2016). Bird brain: An exploration of avian intelligence.

Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., . . . Dean, J. (2019). A guide to deep learning in healthcare. Nat Med, 25(1), 24-29. doi:10.1038/s41591-018-0316-z

Etzioni, A., & Etzioni, O. (2016). AI assisted ethics. Ethics and Information Technology, 18(2), 149-156.

Fagot, J., & Maugard, A. (2013). Analogical reasoning in baboons (Papio papio): flexible reencoding of the source relation depending on the target relation. Learning and Behavior, 41(3), 229-237.

Fazio, R. H. (2001). On the automatic activation of associated evaluations:  An overview. Cognition and Emotion, 15, 115-141.

Feinberg, T. E., & Mallatt, J. M. (2016). The ancient origins of consciousness: how the brain created experience. Cambridge, MA: MIT Press.

Feinberg, T. E., & Mallatt, J. M. (2018). Demystifying consciousness: How the brain created experience. Cambridge, MA: MIT Press.

Fellous, J.-M., & Arbib, M. A. (2005). Who needs emotions?: The brain meets the robot. Oxford: Oxford University Press.

Ferrucci, D. A. (2012). Introduction to “This is Watson”. IBM Journal of Research and Development, 56(3.4), 1:1-1:15.

Finch, W. T. (2010). The evolution of language. Cambridge: Cambridge University Press.

Flemming, T. M., Thompson, R. K. R., & Fagot, J. (2013). Baboons, like humans, solve analogy by categorical abstraction of relations. Animal Cognition, 16(3), 519-524.

Foer, J. (2009). Eating animals. New York: Little, Brown.

Forbus, K. D., Ferguson, R. W., Lovett, A., & Gentner, D. (2017). Extending SME to handle larger-scale cognitive modeling. Cognitive Science, 41, 1152-1201.

Ford, M. (Ed.) (2018). Architects of intelligence: The truth about AI from the people building it. Birmingham, UK: Packt Publishing.

Francione, G. L., & Charlton, A. (2015). Animal rights: The abolitionist approach. Logan, UT: Exempla Press.

Fugazza, C., Moesta, A., Pogany, A., & Miklosi, A. (2018). Social learning from conspecifics and humans in dog puppies.Scientific Reports, 8(1), 9257.

Gagliano, M., Ryan, J. C., & Vieira, P. (2017). The language of plants: Science, philosophy, literature. Minneapolis: University of Minnesota Press.

Gardner, H. (2006). Multiple intelligences: New horizons. New York: Basic Books.

Geary, D. C. (2018). Efficiency of mitochondrial functioning as the fundamental biological mechanism of general intelligence (g). Psychological Review, 125(6), 1028-1050.

Gerrish, S. (2018). How smart machines think. Cambridge, MA: MIT Press.

Gillan, D. J., Premack, D., & Woodruff, G. (1981). Reasoning in the chimpanzee: I.  Analogical reasoning. Journal of Experimental Psychology:  Animal Behavior Processes, 7, 1-17.

Glimcher, P. W., & Fehr, E. (Eds.). (2013). Neuroeconomics:  Decision making and the brain(2 ed.). Amsterdam: Academic Press.

Godfrey-Smith, P. (2016). Other minds: The octopus, the sea, and the deep origins of consciousness. New York: Farrar, Straus and Giroux.

Goleman, D. (1995). Emotional intelligence. New York: Bantam.

Gomez-Uribe, C. A., & Hunt, N. (2016). The netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems (TMIS), 6(4), 13.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. Cambridge, MA: MIT Press

Gottfredson, L. S. (1997). Mainstream science on intelligence: An editorial with 52 signatories, history, and bibliography. Intelligence, 24, 13-23.

Gould, J. L. (1990). Honey bee cognition. Cognition, 37, 83-103.

Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2018). When will AI exceed human performance? Evidence from AI experts. Journal of Artificial Intelligence Research, 62, 729-754.

Gregg, J. (2013). Are dolphins really smart? The mammal behind the myth. Oxford: Oxford University Press.

Groening, J., Venini, D., & Srinivasan, M. V. (2017). In search of evidence for the experience of pain in honeybees: A self-administration study. Scientific Reports, 7, 45825.

Gruber, R., Schiestl, M., Boeckle, M., Frohnwieser, A., Miller, R., Gray, R. D., . . . Taylor, A. H. (2019). New Caledonian crows use mental representations to solve metatool problems. Current Biology, 29(4), 686-692 e683.

Gruen, L. (2017). The moral status of animals. Stanford Encyclopedia of Philosophy. Retrieved from

Gunturkun, O., & Bugnyar, T. (2016). Cognition without cortex. Trends in Cognitive Sciences, 20(4), 291-303.

Hacking, I. (1999). The social construction of what?Cambridge, MA: Harvard University Press.

Haier, R. J. (2016). The neuroscience of intelligence. New York: Cambridge University Press.

Hamilton, J. G., Genoff Garzon, M., Westerman, J. S., Shuk, E., Hay, J. L., Walters, C., . . . Daly, B. (2019). “A Tool, Not a Crutch”: Patient perspectives about IBM Watson for oncology trained by Memorial Sloan Kettering. Journal of oncology practice, 15, e277-e288.

Hanson, T. (2018). Buzz: The nature and necessity of bees. New York: Basic Books.

Hare, B., & Woods, V. (2013). The genius of dogs. New York: Dutton.

Hare, R. M. (1981). Moral thinking: Its levels, method, and point. Oxford: Oxford University Press.

Harman, G. (1973). Thought. Princeton: Princeton University Press.

Harris, C. R., & Prouvost, C. (2014). Jealousy in dogs. PLOS One, 9(7), e94597.

Haugeland, J. (1998). Having thought: Essays in the metaphysics of mind. Cambridge, MA: Harvard University Press.

Hausman, D., McPherson, M., & Satz, D. (2017). Economic analysis, moral philosophy, and public policy. Cambridge: Cambridge University Press.

Hawking, S. (2018). Brief answers to the big questions. New York: Bantam.

Heinrich, B., & Bugnyar, T. (2005). Testing problem solving in ravens: Stringpulling to reach food. Ethology, 111(10), 962-976.

Henrich, J. (2016). The secret of our success. Princeton: Princeton University Press.

Herculano-Houzel, S. (2016). The human advantage: A new understanding of how our brain became remarkable. Cambridge, MA: MIT Press.

Herculano-Houzel, S. (2017). Numbers of neurons as biological correlates of cognitive capability. Current Opinion in Behavioral Sciences, 16, 1-7.

Herman, L. M. (2010). What laboratory research has told us about dolphin cognition. International Journal of Comparative Psychology, 23, 310-330.

Herrmann, E., Hare, B., Call, J., & Tomasello, M. (2010). Differences in the cognitive skills of bonobos and chimpanzees. PLOS One, 5(8), e12438.

Herzing, D. L., & Johnson, C. M. (2015). Dolphin communication and cognition: Past, present, and future. Cambridge, MA: MIT Press.

Hochner, B. (2012). An embodied view of octopus neurobiology. Curr Biol, 22(20), R887-892. doi:10.1016/j.cub.2012.09.001

Hofstadter, D. (2007). I am a strange loop. New York: Basic Books.

Hofstadter, D. (2018). The shallowness of Google Translate. The Atlantic(Jan. 30). Retrieved from

Holland, J. H., Holyoak, K. J., Nisbett, R. E., & Thagard, P. R. (1986). Induction:  Processes of inference, learning, and discovery. Cambridge, MA: MIT Press.

Holyoak, K. J. (2012). Analogy and relational reasoning. In K. J. Holyoak & R. G. Morrison (Eds.), The Oxford handbook of thinking and reasoning. Oxford: Oxford University Press.

Holyoak, K. J., & Morrison, R. G. (Eds.). (2012). The Oxford handbook of thinking and reasoning. New York: Oxford University Press.

Holyoak, K. J., & Thagard, P. (1995). Mental leaps:  Analogy in creative thought. Cambridge, MA: MIT Press/Bradford Books.

Homer-Dixon, T., Milkoreit, M., Mock, S. J., Schröder, T., & Thagard, P. (2014). The conceptual structure of social disputes: Cognitive-affective maps as a tool for conflict analysis and resolution. SAGE Open, 4. doi:10.1177/2158244014526210

Horowitz, A. (2009). Disambiguating the “guilty look”: salient prompts to a familiar dog behaviour. Behavioral Processes, 81(3), 447-452.

Horowitz, A. (2017). Smelling themselves: Dogs investigate their own odours longer when modified in an “olfactory mirror” test. Behavioral Processes, 143, 17-24.

Hoy, M. B. (2018). Alexa, siri, cortana, and more: An introduction to voice assistants. Medical reference services quarterly, 37(1), 81-88.

Hunt, E. (2010). Human intelligence. Cambridge: Cambridge University Press.

Jablonka, E., Ginsburg, S., & Dor, D. (2012). The co-evolution of language and emotions. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1599), 2152-2159.

Jackendoff, R. (2002). Foundations of language:  Brain, meaning, grammar, evolution. Oxford: Oxford University Press.

Jacobs, I. F., von Bayern, A., Martin-Ordas, G., Rat-Fischer, L., & Osvath, M. (2015). Corvids create novel causal interventions after all. Proceedings of the Royal Society B, 282(1806), 20142504.

Jardim-Messeder, D., Lambert, K., Noctor, S., Pestana, F. M., de Castro Leal, M. E., Bertelsen, M. F., . . . Herculano-Houzel, S. (2017). Dogs have the most neurons, though not the largest Brain: Trade-off between body mass and number of neurons in the cerebral cortex of large carnivoran species. Frontiers in Neuroanatomy, 11, 118.

Jaynes, J. (1976). The origin of consciousness in the breakdown of the bicameral mind. Boston: Houghton Mifflin.

Jelbert, S. A., Hosking, R. J., Taylor, A. H., & Gray, R. D. (2018). Mental template matching is a potential cultural transmission mechanism for New Caledonian crow tool manufacturing traditions. Scientific Reports, 8(1), 8956.

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399. doi:10.1038/s42256-019-0088-2

Jung, R. E., & Haier, R. J. (2007). The parieto-frontal integration theory (P-FIT) of intelligence: Converging neuroimaging evidence. Behavioral and Brain Sciences, 30(2), 135-154. doi:10.1017/S0140525X07001185

Kabadayi, C., & Osvath, M. (2017). Ravens parallel great apes in flexible planning for tool-use and bartering. Science, 357(6347), 202-204.

Kahneman, D. (2011). Thinking fast and slow. Toronto: Doubleday.

Kajić, I., Schröder, T., Stewart, T. C., & Thagard, P. (2019). The semantic pointer theory of emotions. Cognitive Systems Research, 58, 35-53.

Kaminski, J. A., Schlagenhauf, F., Rapp, M., Awasthi, S., Ruggeri, B., Deserno, L., . . . consortium, I. (2018). Epigenetic variance in dopamine D2 receptor: a marker of IQ malleability? Translational Psychiatry, 8(1), 169.

Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., & Fei-Fei, L. (2014). Large-scale video classification with convolutional neural networks.Paper presented at the Proceedings of the IEEE conference on Computer Vision and Pattern Recognition.

Keefner, A. (2015). Corvids infer the mental states of conspecifics. Biology & Philosophy, 31(2), 267-281.

Kelly, S. D. (2019). A philosopher argues that an AI can’t be an artist: Creativity is, and always will be, a human endeavor. MIT Technology Review(March/April). Retrieved from

Keltner, D., Oatley, K., & Jenkins, J. M. (2018). Understanding emotions(4th ed.). New York: Wiley.

Key, B. (2016). Why fish do not feel pain. Animal Sentience, 1(3), 1.

Kidd, D. C., & Castano, E. (2013). Reading literary fiction improves theory of mind. Science, 342(6156), 377-380.

King, B. J. (2013). How animals grieve. Chicago: University of Chicago Press.

Koch, C. (2019). The feeling of life itself: Why consciousness is widespread but can’t be computed. Cambridge, MA: MIT Press.

Kohda, M., Hotta, T., Takeyama, T., Awata, S., Tanaka, H., Asai, J. Y., & Jordan, A. L. (2019). If a fish can pass the mark test, what are the implications for consciousness and self-awareness testing in animals? PLOS Biology, 17(2), e3000021.

Köhler, W. (1927). The mentality of apes(2nd ed.). London: Kegan Paul, Trench, Taubner.

Korsgaard, C. M. (2018). Fellow creatures:  Our obligations to the other animals. Oxford: Oxford University Press.

Kosslyn, S. M., Thompson, W. L., & Ganis, G. (2006). The case for mental imagery. New York: Oxford University Press.

Kotseruba, I., & Tsotsos, J. K. (2020). 40 years of cognitive architectures: Core cognitive abilities and practical applications. Artificial Intelligence Review, 53(1), 17-94. doi:10.1007/s10462-018-9646-y

Kreibig, S. D. (2010). Autonomic nervous system activity in emotion:  areview. Biological Psychology, 84, 394-421.

Kret, M. E., Muramatsu, A., & Matsuzawa, T. (2018). Emotion processing across and within species: A comparison between humans (Homo sapiens) and chimpanzees (Pan troglodytes). Journal of Comparative Psychology, 132(4), 395-409.

Krupenye, C., Kano, F., Hirata, S., Call, J., & Tomasello, M. (2016). Great apes anticipate that other individuals will act according to false beliefs. Science, 354(6308), 110-114.

Kujala, M. V. (2017). Canine emotions as seen through human social cognition. Animal Sentience, 14. Retrieved from

Kurzweil, R. (2005). The singularity is near: When humans transcend biology. New York: Viking.

Laird, J. E. (2012). The Soar cognitive architecture. Cambridge, MA: MIT Press.

Laird, J. E., Lebiere, C., & Rosenbloom, P. S. (2017). A standard model of the mind: Toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics. AI Magazine, 38(4), 13-26.

Laland, K. N. (2017). Darwin’s unfinished symphony: How culture made the human mind. Princeton, NJ: Princeton University Press.

Lau, J. H., Cohn, T., Baldwin, T., Brooke, J., & Hammond, A. (2018). Deep-speare: A joint neural model of poetic language, meter and rhyme. arXiv preprint arXiv:1807.03491.

Le Neindre, P., Bernard, E., Boissy, A., Boivin, X., Calandreau, L., Delon, N., . . . Faivre, N. (2017). Animal consciousness. EFSA Supporting Publications, 14(4), 1196E.

Leake, D. B. (Ed.) (1996). Case-based reasoning:  Experiences, lessons, and future directions. Menlo Park, CA: AAAI Press/MIT Press.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.

Lee, T. D. (2011). Motor control in everyday actions. Champaign, IL: Human Kinetics.

Lenat, D. (1983). EURISKO:  A program that learns new heuristics and domain concepts. Artificial Intelligence, 21, 61-98.

Lin, P., Abney, K., & Jenkins, R. (2017). Robot ethics 2.0: from autonomous cars to artificial intelligence: Oxford University Press.

Lipton, P. (2004). Inference to the best explanation(2nd ed.). London: Routledge.

Lonsdorf, E., Ross, S. R., & Matsuzawa, T. (2010). The mind of the chimpanzee: Ecological and experimental perspectives. Chicago: University of Chicago Press

Mackintosh, N. J. (2011). IQ and human intelligence(2nd ed.). Oxford: Oxford University Press.

Marcus, G. (2018). Innateness, AlphaZero, and artificial intelligence. arXiv. Retrieved from

Marcus, G. F., & Davis, E. (2019). Rebooting AI: Building artificial intelligence we can trust. New York: Pantheon.

Marsella, S., & Gratch, J. (2014). Computationally modeling human emotion. Communications of the ACM, 57(12), 56-67. doi:10.1145/2631912

Marsella, S., & Gratch, J. (2016). Computational models of emotion as psychological tools. In L. F. Barrett, M. Lewis, & J. M. Haviland-Jones (Eds.), Handbook of emotions(4th ed., pp. 113-129). New York: Guilford.

Marzluff, J., & Angell, T. (2012). Gifts of the crow. New York: Atria.

Mather, J. A., & Dickel, L. (2017). Cephalopod complex cognition. Current Opinion in Behavioral Sciences, 16, 131-137.

Mathes, E. W., & Deuger, D. J. (1982). Jealousy, a creation of human culture? Psychological reports, 51(2), 351-354.

Mayer, J. D., Salovey, P., & Caruso, D. R. (2004). Emotional Intelligence: Theory, Findings, and Implications. Psychological inquiry, 15(3), 197-215.

Medina, F. S., Taylor, A. H., Hunt, G. R., & Gray, R. D. (2011). New Caledonian crows’ responses to mirrors. Animal Behaviour, 82(5), 981-993.

Melina, V., Craig, W., & Levin, S. (2016). Position of the Academy of Nutrition and Dietetics: Vegetarian diets. Journal of the Academy of Nutrition and Dietetics, 116(12), 1970-1980.

Menzel, R., & Giurfa, M. (2006). Dimensions of cognition in an insect, the honeybee. Behavioral Cognitive Neuroscience Review, 5(1), 24-40.

Mercado III, E., & DeLong, C. M. (2010). Dolphin cognition: Representations and processes in memory and perception. International Journal of Comparative Psychology, 23(3).

Miklósi, Á. (2015). Dog behaviour, evolution, and cognition(2nd ed.). Oxford: Oxford University Press.

Mill, J. S. (1970). A system of logic(8 ed.). London: Longman.

Miller, G. A., Galanter, E., & Pribram, K. (1960). Plans and the structure of behavior.New York: Holt, Rinehart, and Winston.

Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision(pp. 211-277). New York: McGraw-Hill.

Mitchell, M. (2019). Artificial intelligence: A guide for thinking humans. New York: Farrar, Straus and Giroux.

Morgan, C. L. (1903). An introduction to comparative psychology. London: Walter Scott Publishing.

Morris, P. H., Doe, C., & Godsell, E. (2007). Secondary emotions in non-primate species? Behavioural reports and subjective claims by animal owners. Cognition and Emotion, 22(1), 3-20.

Morrison, R., & Reiss, D. (2018). Precocious development of self-awareness in dolphins. PLOS One, 13(1), e0189813.

Mortensen, H. S., Pakkenberg, B., Dam, M., Dietz, R., Sonne, C., Mikkelsen, B., & Eriksen, N. (2014). Quantitative relationships in delphinid neocortex. Frontiers in Neuroanatomy, 8, 132.

Müller, J. J. A., Massen, J. J. M., Bugnyar, T., & Osvath, M. (2017). Ravens remember the nature of a single reciprocal interaction sequence over 2 days and even after a month. Animal Behaviour, 128, 69-78.

Murphy, G. L. (2002). The big book of concepts. Cambridge, MA: MIT Press.

Musgrave, S., Morgan, D., Lonsdorf, E., Mundry, R., & Sanz, C. (2016). Tool transfers are a form of teaching among chimpanzees. Scientific Reports, 6, 34783.

Muthukrishna, M., Doebeli, M., Chudek, M., & Henrich, J. (2018). The cultural brain hypothesis: How culture drives brain expansion, sociality, and life history. PLoS Computational Biology, 14(11), e1006504.

Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.

Nilsson, N. J. (2010). The quest for artificial intelligence: A history of ideas and achievements. Cambridge: Cambridge University Press.

Nisbett, R. E. (2009). Intelligence and how we get it. New York: Norton.

Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F., & Turkheimer, E. (2012). Intelligence: new findings and theoretical developments. American Psychologist, 67(2), 130-159.

Obozova, T., Smirnova, A., Zorina, Z., & Wasserman, E. (2015). Analogical reasoning in amazons. Animal Cognition, 18(6), 1363-1371.

Olkowicz, S., Kocourek, M., Lucan, R. K., Portes, M., Fitch, W. T., Herculano-Houzel, S., & Nemec, P. (2016). Birds have primate-like numbers of neurons in the forebrain. Proceedings of the National Academy of Sciences, 113(26), 7255-7260.

Orend, B. (2002). Human rights:  Concept and context. Peterborough: Broadview.

Organ, C., Nunn, C. L., Machanda, Z., & Wrangham, R. W. (2011). Phylogenetic rate shifts in feeding time during the evolution of Homo. Proceedings of the National Academy of Sciences, 108(35), 14555-14559.

Paden, B., Čáp, M., Yong, S. Z., Yershov, D., & Frazzoli, E. (2016). A survey of motion planning and control techniques for self-driving urban vehicles. IEEE Transactions on intelligent vehicles, 1(1), 33-55.

Papini, M. R., Penagos-Corzo, J. C., & Perez-Acosta, A. M. (2018). Avian emotions: Comparative perspectives on fear and frustration. Frontiers in Psychology, 9, 2707.

Parisien, C., & Thagard, P. (2008). Robosemantics:  How Stanley the Volkswagen represents the world. Minds and Machines, 18, 169-178.

Pearl, J. (2000). Causality:  Models, reasoning, and inference. Cambridge: Cambridge University Press.

Pearl, J., & Mackenzie., D. (2018). The book of why: The new science of cause and effect. New York: Basic Books.

Penn, D. C., Holyoak, K. J., & Povinelli, D. J. (2008). Darwin’s mistake: Explaining the discontinuity between human and nonhuman minds. Behavioral and Brain Sciences, 31(2), 109-130.

Penn, D. C., & Povinelli, D. J. (2007). Causal cognition in human and nonhuman animals: a comparative, critical review.Annual Review of Psychology, 58, 97-118.

Perry, C. J., Barron, A. B., & Chittka, L. (2017). The frontiers of insect cognition. Current Opinion in Behavioral Sciences, 16, 111-118.

Pimm, S., Raven, P., Peterson, A., Sekercioglu, C. H., & Ehrlich, P. R. (2006). Human impacts on the rates of recent, present, and future bird extinctions. Proceedings of the National Academy of Sciences, 103(29), 10941-10946.

Premack, D. (2010). Why humans are unique: Three theories. Perspectives in Psycholical Science, 5(1), 22-32.

Prichard, A., Chhibber, R., Athanassiades, K., Spivak, M., & Berns, G. S. (2018). Fast neural learning in dogs: A multimodal sensory fMRI study. Scientific Reports, 8(1), 14614.

Prior, H., Schwarz, A., & Güntürkün, O. (2008). Mirror-induced representation in magpies:  Evidence of self-recognition. PLOS Biology, 6(8), e202.

Real, E., Liang, C., So, D. R., & Le, Q. V. (2020). AutoML-Zero: Evolving machine learning algorithms from scratch. arXiv. Retrieved from

Reber, A. S. (2019). The first minds:  Caterpillars, ‘karyotes, and consciousness. New York: Oxford University Press.

Reggente, M. A. L., Alves, F., Nicolau, C., Freitas, L., Cagnazzi, D., Baird, R. W., & Galli, P. (2016). Nurturant behavior toward dead conspecifics in free-ranging mammals: new records for odontocetes and a general review. Journal of Mammalogy, 97(5), 1428-1434.

Reich, W. (1971). Schoenberg: A critical biography(L. Black, Trans.). London: Longman.

Reznikova, Z. (2007). Animal intelligence: From individual to social cognition. Cambridge: Cambridge University Press.

Rilling, J. K., Scholz, J., Preuss, T. M., Glasser, M. F., Errangi, B. K., & Behrens, T. E. (2012). Differences between chimpanzees and bonobos in neural systems supporting social cognition. Social Cognitive Affective Neuroscience, 7(4), 369-379.

Rips, L. J., Smith, E. E., & Medin, D. L. (2012). Concepts and categories: Memory, meaning, and metaphysics. In K. J. Holyoak & R. G. Morrison (Eds.), Oxford handbook of thinking and reasoning(pp. 177-209). Oxford: Oxford University Press.

Rojas-Downing, M. M., Nejadhashemi, A. P., Harrigan, T., & Woznicki, S. A. (2017). Climate change and livestock: Impacts, adaptation, and mitigation. Climate Risk Management, 16, 145-163.

Rose, J. D., Arlinghaus, R., Cooke, S. J., Diggles, B. K., Sawynok, W., Stevens, E. D., & Wynne, C. D. L. (2012). Can fish really feel pain? Fish and Fisheries, 15, 97-133.

Rumbaugh, D. M., Beran, M. J., & Hillix, W. A. (2000). Cause-effect reasoning in humans and animals. In C. Heyes & L. Huber (Eds.), The evolution of cognition(pp. 221-238). Cambridge, MA: MIT Press.

Russell, S. (2019). Human compatible artificial intelligence and the problem of control. New York: Penguin Random House.

Russell, S., Dewey, D., & Tegmark, M. (2015). Research priorities for robust and beneficial artificial intelligence. AI Magazine, 36(4), 105-114.

Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. New York: Guilford.

Safina, C. (2015). Beyond words: What animals think and feel. London: Macmillan.

Salovey, P., Detweiler-Bedell, B. T., Detweiler-Bedell, J. B., & Mayer, J. D. (2008). Emotional intelligence. In M. Lewis, J. M. Haviland-Jones, & L. F. Barrett (Eds.), Handbook of emotions(3rd ed., pp. 533-547). New York: Guilford Press.

Sanz, C. M., Call, J., & Boesch, C. (2013). Tool use in animals: Cognition and ecology. Cambridge: Cambridge University Press.

Savi, A. O., Marsman, M., van der Maas, H. L., & Maris, G. K. (2019). The wiring of intelligence. Perspectives on Psychological Science, 14(6), 1034-1061.

Scheel, D., Chancellor, S., Hing, M., Lawrence, M., Linquist, S., & Godfrey-Smith, P. (2017). A second site occupied by Octopus tetricus at high densities, with notes on their ecology and behavior. Marine and Freshwater Behaviour and Physiology, 50(4), 285-291.

Scheffer, M. (2009). Critical transitions in nature and society. Princeton, NJ: Princeton University Press.

Schröder, T., Stewart, T. C., & Thagard, P. (2014). Intention, emotion, and action:  A neural theory based on semantic pointers. Cognitive Science, 38, 851-880.

Schusterman, R. J., Thomas, J. A., Wood, F. G., & Schusterman, R. (2013). Dolphin cognition and behavior: A comparative approach. Hillsdale, NJ: Lawrence Erlbaum.

Schwarting, W., Alonso-Mora, J., & Rus, D. (2018). Planning and decision-making for autonomous vehicles. Annual Review of Control, Robotics, and Autonomous Systems, 1, 187-210.

Searle, J. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3, 417-424.

Sejnowski, T. J. (2018). The deep learning revolution. Cambridge, MA: MIT Press.

Shettleworth, S. J. (2010). Clever animals and killjoy explanations in comparative psychology. Trends in Cognitive Sciences, 14(11), 477-481.

Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., . . . Graepel, T. (2018). A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science, 362(6419), 1140-1144.

Singer, P. (2009). Animal liberation: The definitive classic of the animal movement. New York: Harper.

Smirnova, A., Zorina, Z., Obozova, T., & Wasserman, E. (2015). Crows spontaneously exhibit analogical reasoning. Current Biology, 25(2), 256-260.

Sneddon, L. U., Lopez-Luna, J., Wolfenden, D. C., Leach, M. C., Valentim, A. M., Steenbergen, P. J., . . . Brown, C. (2018). Fish sentience denial: Muddying the waters. Animal Sentience, 3(21), 1.

Solvi, C., Al-Khudhairy, S. G., & Chittka, L. (2020). Bumble bees display cross-modal object recognition between visual and tactile senses. Science, 367(6480), 910-912.

Sternberg, R. J. (Ed.) (2018). The nature of human intelligence. Cambridge: Cambridge University Press.

Sternberg, R. J., & Kaufman, S. B. (Eds.). (2011). The Cambridge handbook of intelligence. Cambridge: Cambridge University Press.

Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and policy considerations for deep learning in NLP. arXiv preprint arXiv:1906.02243.

Suddendorf, T. (2013). The gap: The science of what separates us from other animals. New York: Basic Books.

Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction: MIT press.

Taiz, L., Alkon, D., Draguhn, A., Murphy, A., Blatt, M., Hawes, C., . . . Robinson, D. G. (2019). Plants neither possess nor require consciousness. Trends in Plant Science.

Taylor, A. H. (2014). Corvid cognition. WIREs Cognitive Science, 5(3), 361-372. doi:10.1002/wcs.1286

Taylor, A. H., Miller, R., & Gray, R. D. (2012). New Caledonian crows reason about hidden causal agents. Proceedings of the Natlonal Academy of  Sciences, 109(40), 16389-16391. doi:10.1073/pnas.1208724109

Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. New York: Alfred A. Knopf.

ten Cate, C., & Healy, S. D. (Eds.). (2017). Avian cognition. Cambridge: Cambridge University Press.

Thagard, P. (1988). Computational philosophy of science. Cambridge, MA: MIT Press.

Thagard, P. (1989). Explanatory coherence. Behavioral and Brain Sciences, 12, 435-467.

Thagard, P. (1992). Conceptual revolutions. Princeton: Princeton University Press.

Thagard, P. (1999). How scientists explain disease. Princeton: Princeton University Press.

Thagard, P. (2000). Coherence in thought and action. Cambridge, MA: MIT Press.

Thagard, P. (2005). Mind:  Introduction to cognitive science(2nd ed.). Cambridge, MA: MIT Press.

Thagard, P. (2006). Hot thought:  Mechanisms and applications of emotional cognition. Cambridge, MA: MIT Press.

Thagard, P. (2010a). The brain and the meaning of life. Princeton, NJ: Princeton University Press.

Thagard, P. (2010b). EMPATHICA:  A computer support system with visual representations for cognitive-affective mapping. In K. McGregor (Ed.), Proceedings of the workshop on visual reasoning and representation(pp. 79-81). Menlo Park, CA: AAAI Press.

Thagard, P. (2012). The cognitive science of science: Explanation, discovery, and conceptual change. Cambridge, MA: MIT Press.

Thagard, P. (2019a). Brain-mind: From neurons to consciousness and creativity. New York: Oxford University Press.

Thagard, P. (2019b). Mind-society:  From brains to social sciences and professions New York: Oxford University Press.

Thagard, P. (2019c). Natural philosophy: From social brains to knowledge, reality, morality, and beauty. New York: Oxford University Press.

Thagard, P. (forthcoming-a). Darwin and the golden rule: How to distinguish differences of degree from differences of kind using mechanisms.

Thagard, P. (forthcoming-b). Energy requirements undermine substrate independence and mind-body functionalism. Philosophy of Science.

Thagard, P., & Stewart, T. C. (2014). Two theories of consciousness:  Semantic pointer competition vs. information integration. Consciousness and Cognition, 30, 73-90.

Thagard, P., & Verbeurgt, K. (1998). Coherence as constraint satisfaction. Cognitive Science, 22, 1-24.

Thompson, R. K., & Oden, D. L. (2000). Categorical perception and conceptual judgments by nonhuman primates: The paleological monkey and the analogical ape. Cognitive Science, 24(3), 363-396.

Tomasello, M. (2019). Becoming human: A theory of ontogeny. Cambridge, MA: Harvard University Press.

Tomasello, M., & Call, J. (1997). Primate cognition. New York: Oxford University Press.

Tononi, G., Boly, M., Massimini, M., & Koch, C. (2016). Integrated information theory: From consciousness to its physical substrate. Nature Reviews Neuroscience, 17(7), 450-461.

Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. New York: Basic Books.

Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. Retrieved from

Trewavas, A. (2014). Plant behaviour and intelligence. Oxford: Oxford University Press.

Vallor, S. (2016). Technology and the virtues:  A philosophical guide to a future worth wanting. New York: Oxford University Press.

Varshney, L. R., Pinel, F., Varshney, K. R., Bhattacharjya, D., Schorgendorfer, A., & Chee, Y. M. (2019). A big data approach to computational creativity: The curious case of Chef Watson. IBM Journal of Research and Development, 63(1), 7:1-7:18.

Vincent, S., Ring, R., & Andrews, K. (2019). Normative practices of other animals. In K. Jones, M. Timmons, & A. Zimmerman (Eds.), The Routledge Handbook of Moral Epistemology(pp. 57-83). New York: Routledge.

Vonk, J. (2015). Corvid cognition: something to crow about? Current Biology, 25(2), R69-R71.

Walsh, T. (2018). Machines that think: The future of artificial intelligence. Amherst, NY: Prometheus Books.

Westby, T., & Conselice, C. J. (2020). The astrobiological Copernican Weak and strong limits for intelligent life. The Astrophysical Journal, 896(1), 58.

Whiten, A. (2017). Social learning and culture in child and chimpanzee. Annual Review of Psychology, 68, 129-154.

Wiggins, D. (1987). Needs, values, truth. Oxford: Basil Blackwell.

Woo, C. W., Roy, M., Buhle, J. T., & Wager, T. D. (2015). Distinct brain systems mediate the effects of nociceptive input and self-regulation on pain. PLOS Biology, 13(1), e1002036.

Woodward, J. (2004). Making things happen:  A theory of causal explanation. Oxford: Oxford University Press.

Wooldridge, M. (2002). An introduction to multiagent systems. Chichester: John Wiley & Sons.

Wrangham, R. W. (2009). Catching fire: How cooking made us human. New York: Basic Books.

Wright, A. A., Magnotti, J. F., Katz, J. S., Leonard, K., Vernouillet, A., & Kelly, D. M. (2017). Corvids outperform pigeons and primates in learning a basic concept. Psychological Science, 28, 437-444.

Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., Macherey, W., . . . Macherey, K. (2016). Google’s neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144.

Wynne, C. D. (2004). Do animals think?Princeton, NJ: Princeton University Press.

Zentall, T. R., & Wasserman, E. A. (Eds.). (2102). The Oxford handbook of comparative cognition. Oxford: Oxford University Press.

Zijlmans, J., Marhe, R., Bevaart, F., Luijks, M.-J. A., van Duin, L., Tiemeier, H., & Popma, A. (2018). Neural correlates of moral evaluation and psychopathic traits in male multi-problem young adults. Frontiers in Psychiatry, 9, 248.

Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. New York: PublicAffairs.


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