15 found
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  1. AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI.Jose Hernandez-Orallo & Karina Vold - 2019 - In Proceedings of the AAAI/ACM 2019 Conference on AIES. pp. 507-513.
    Humans and AI systems are usually portrayed as separate sys- tems that we need to align in values and goals. However, there is a great deal of AI technology found in non-autonomous systems that are used as cognitive tools by humans. Under the extended mind thesis, the functional contributions of these tools become as essential to our cognition as our brains. But AI can take cognitive extension towards totally new capabil- ities, posing new philosophical, ethical and technical chal- lenges. To (...)
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  2. Beyond the Turing Test.Jose Hernandez-Orallo - 2000 - Journal of Logic, Language and Information 9 (4):447-466.
    The main factor of intelligence is defined as the ability tocomprehend, formalising this ability with the help of new constructsbased on descriptional complexity. The result is a comprehension test,or C- test, which is exclusively defined in computational terms. Due toits absolute and non-anthropomorphic character, it is equally applicableto both humans and non-humans. Moreover, it correlates with classicalpsychometric tests, thus establishing the first firm connection betweeninformation theoretical notions and traditional IQ tests. The TuringTest is compared with the C- test and the (...)
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  3.  2
    Item Response Theory in AI: Analysing Machine Learning Classifiers at the Instance Level.Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez-Usó & José Hernández-Orallo - 2019 - Artificial Intelligence 271:18-42.
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  4.  1
    Measuring Universal Intelligence: Towards an Anytime Intelligence Test.José Hernández-Orallo & David L. Dowe - 2010 - Artificial Intelligence 174 (18):1508-1539.
  5.  1
    Computer Models Solving Intelligence Test Problems: Progress and Implications.José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers & David L. Dowe - 2016 - Artificial Intelligence 230:74-107.
  6. Universal Psychometrics: Measuring Cognitive Abilities in the Machine Kingdom.Jose Hernandez-Orallo, David Dowe & M. Victoria Hernandez-Lloreda - unknown
  7. On Potential Cognitive Abilities in the Machine Kingdom.José Hernández-Orallo & David L. Dowe - 2013 - Minds and Machines 23 (2):179-210.
    Animals, including humans, are usually judged on what they could become, rather than what they are. Many physical and cognitive abilities in the ‘animal kingdom’ are only acquired (to a given degree) when the subject reaches a certain stage of development, which can be accelerated or spoilt depending on how the environment, training or education is. The term ‘potential ability’ usually refers to how quick and likely the process of attaining the ability is. In principle, things should not be different (...)
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    Making Sense of Sensory Input.Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli & Marek Sergot - 2021 - Artificial Intelligence 293:103438.
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  9.  17
    Explanatory and Creative Alternatives to the MDL Priciple.Ismael García-Varea & José Hernández-Orallo - 2000 - Foundations of Science 5 (2):185-207.
    The Minimum Description Length principle is the modernformalisation of Occam's razor. It has been extensively and successfullyused in machine learning, especially for noisy and long sources ofdata. However, the MDL principle presents some paradoxes andinconveniences. After discussing all these, we address two of the mostrelevant: lack of explanation and lack of creativity. We present newalternatives to address these problems. The first one, intensionalcomplexity, avoids extensional parts in a description, so distributingcompression ratio in a more even way than the MDL principle. (...)
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  10.  28
    A Computational Definition of 'Consilience'.José Hernandez-Orallo - 1998 - Philosophica 61 (1):19-37.
    This paper defines in a formal and computational way the notion of ‘consilience’, a term introduced by Whewell in 1847 for the evaluation of scientific theories. Informally, as has been used to date, a model or theory is ‘consilient’ if it is predictive, explanatory and unifies the evide-nce. Centred in a constructive framework, where new terms can be intro-duced, we essay a formalisation of the idea of unification based on the avoidance of ‘sepa-ration’. However, it is soon manifest that this (...)
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  11.  20
    Derek Partridge: What Makes You Clever: The Puzzle of Intelligence: World Scientific, 2013, Xvi+447, $25.00, ISBN: 978-981-4513.José Hernández-Orallo - 2015 - Minds and Machines 25 (1):97-101.
    Mundus vult decipi, ergo decipiatur—the world wants to be deceived, so let it be deceived.Artificial intelligence has been a deceiving discipline: AI addresses those tasks that, if performed by humans, would require intelligence, but have been solved without featuring any genuine intelligence. This delusion has come, in return, with algorithmic techniques that can reliably solve many of these tasks, from game playing to pattern recognition. AI applications are a success.However, AI has not solved “what makes [us] clever, the puzzle of (...)
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  12. Truth From Trash. How Learning Makes Sense by Chris Thornton.José Hernández-Orallo - 2000 - Artificial Intelligence 124 (1):161-165.
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  13.  12
    Twenty Years Beyond the Turing Test: Moving Beyond the Human Judges Too.José Hernández-Orallo - 2020 - Minds and Machines 30 (4):533-562.
    In the last 20 years the Turing test has been left further behind by new developments in artificial intelligence. At the same time, however, these developments have revived some key elements of the Turing test: imitation and adversarialness. On the one hand, many generative models, such as generative adversarial networks, build imitators under an adversarial setting that strongly resembles the Turing test. The term “Turing learning” has been used for this kind of setting. On the other hand, AI benchmarks are (...)
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  14. The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI.Fernando Martínez-Plumed, Bao Sheng Loe, Peter Flach, Sean O. O. HEigeartaigh, Karina Vold & José Hernández-Orallo - 2018 - In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence Evolution of the contours of AI. pp. 5180-5187.
    We present nine facets for the analysis of the past and future evolution of AI. Each facet has also a set of edges that can summarise different trends and contours in AI. With them, we first conduct a quantitative analysis using the information from two decades of AAAI/IJCAI conferences and around 50 years of documents from AI topics, an official database from the AAAI, illustrated by several plots. We then perform a qualitative analysis using the facets and edges, locating AI (...)
     
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  15. AI Extenders and the Ethics of Mental Health.Karina Vold & Jose Hernandez-Orallo - forthcoming - In Marcello Ienca & Fabrice Jotterand (eds.), Ethics of Artificial Intelligence in Brain and Mental Health.
    The extended mind thesis maintains that the functional contributions of tools and artefacts can become so essential for our cognition that they can be constitutive parts of our minds. In other words, our tools can be on a par with our brains: our minds and cognitive processes can literally ‘extend’ into the tools. Several extended mind theorists have argued that this ‘extended’ view of the mind offers unique insights into how we understand, assess, and treat certain cognitive conditions. In this (...)
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