E’ probabile infatti che, nello sviluppo di una visione scientifica, naturalistica dell’uomo, saremo costretti ad abbandonare molte nozioni psicologiche ordinarie, che potrebbero risultare inadeguate rispetto agli scopi e ai metodi dell’indagine naturalistica. Computing machinery and intelligence.Il problema dell’interfaccia (interface problem) consiste nel rendere conto delle relazioni che sussistono tra le nozioni psicologiche del discorso quotidiano e i resoconti scientifici del mentale. You just don’t understand: Women and men in conversation. Bokulich (Eds.) Philosophical explorations of the legacy of alan turing: Turing 100, Boston studies in the philosophy and history of science. Turing and the integration of human and machine intelligence. In How the World Computes, Springer Lecture Notes in Computer Science, 2012, Vol. Reprinted in Thinking About Android Epistemology, Edited by K. JETAI ( Journal of Experimental and Theoretical Artificial Intelligence), 14(1), 39–60. Too many instincts: Contrasting philosophical views on intelligence in humans and non-humans. Reprinted in The Turing Test: The Elusive Standard of Artificial Intelligence. Mastering the game of Go without human knowledge. Silver, D., Schrittwieser, J., Simonyan, K., et al.

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.

Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., et al. Imitating gender as a measure for artificial intelligence: Is it necessary? In Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART2016) (pp. IBM’s Watson Supercomputer recommended ‘unsafe and incorrect’ cancer treatments, internal documents show. Weapons of math destruction: How big data increases inequality and threatens democracy. Algorithms of oppression: How search engines reinforce racism. Millican (Eds.), Connectionism, concepts and folk psychology: The legacy of alan turing (Vol. Learning and conceptual change: The view from the neurons. IBM Journal of ResearchĪnd Development 56(¾), Paper 6 May/July 2012.Ĭhurchland, P. Finding needles in the Haystack: search and candidate generation. Race after technology: Abolitionist tools for the new Jim code.

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