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Evaluation in artificial intelligence: From task-oriented to ability-oriented measurement
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IQ tests are not for machines, yet
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In: http://www.dsic.upv.es/%7Eflip/papers/IQnotuniversal.pdf (2012)
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Comparing humans and AI agents
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In: http://users.dsic.upv.es/proy/anynt/paper1-comparing.pdf (2011)
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Measuring Universal Intelligence: Towards an Anytime Intelligence Test
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In: http://users.dsic.upv.es/proy/anynt/measuring.pdf (2010)
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A (hopefully) unbiased universal environment class for measuring intelligence of biological and artificial systems. Extended Version. available at http://users.dsic.upv.es/proy/anynt
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In: http://users.dsic.upv.es/proy/anynt/unbiased.pdf (2009)
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Abstract:
Abstract. The measurement of intelligence is usually associated with the performance over a selection of tasks or environments. The most general approach in this line is called Universal Intelligence, which assigns a probability to each possible environment according to several constructs derived from Kolmogorov complexity. In this context, new testing paradigms are being defined in order to devise intelligence tests which are anytime and universal: valid for both artificial intelligent systems and biological systems, of any intelligence degree and of any speed. And these tests should be adaptive and feasibly administered in a finite (short) period of time. In this paper, we address one of the pieces in this puzzle: the definition of a general, unbiased, universal class of environments such that they are appropriate for intelligence tests. By appropriate we mean that the environments are discriminative (sensitive to the examinee’s actions and unbiased for random agents) and that they can be feasibly built, in such a way that the environments can be automatically generated and their complexity can be computed. The environment class we present in this paper fulfils these properties and it can be used to construct intelligence tests and, in particular, the first anytime universal intelligence test.
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Keyword:
artificial intelligence; artificial life; Game generators; Intelligence measurement; Kolgomorov complexity; multi-agent; Turing-complete environments
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URL: http://users.dsic.upv.es/proy/anynt/unbiased.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.504
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6 |
Beyond the Turing Test
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In: http://users.dsic.upv.es/proy/anynt/Beyond.pdf (2000)
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Beyond the Turing Test
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In: http://www.dsic.upv.es/~jorallo/escrits/TT-JHdez.ps.gz (1999)
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BeyondtheTuringTest(Extended,originalinternalreport)
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In: http://users.dsic.upv.es/%7Eflip/papers/Beyond2000-preliminary-extended.pdf (1999)
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The ANYNT Project Intelligence Test Λone
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In: http://www.csse.monash.edu.au/~dld/Publications/2012/Insa-CabreraHernandez-OralloDoweEspanaHernandez-Lloreda_The_anYnt_ProjectIntelligenceTest:Lambda_one_AISB_IACAP_JointConference_CelebratingTheTuringYear_Birmingham_July2012_8pp.pdf
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Turing Machines and Recursive Turing Tests
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In: http://www.csse.monash.edu.au/~dld/Publications/2012/Hernandez-OralloInsa-CabreraDoweHibbard_TuringMachinesAndRecursiveTuringTests_AISB_IACAP_JointConference_CelebratingTheTuringYear_Birmingham_July2012_6pp.pdf
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A (hopefully) Unbiased Universal Environment Class for Measuring Intelligence of Biological and Artificial Systems
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In: http://agi-conf.org/2010/wp-content/uploads/2009/06/paper_19.pdf
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On Discriminative Environments, Randomness, Two-part Compression and MML
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In: http://www.dsic.upv.es/%7Eflip/papers/projectibility.pdf
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13 |
Beyond the Turing Test
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In: http://www.dsic.upv.es/%7Eflip/papers/Beyond2000.pdf
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Measuring Universal Intelligence: Towards an Anytime Intelligence Test
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In: http://www.dsic.upv.es/%7Eflip/papers/measuring.pdf
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Compression and intelligence: social environments and communication
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In: http://users.dsic.upv.es/proy/anynt/paper5-compression.pdf
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On measuring social intelligence: experiments on competition and cooperation
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In: http://users.dsic.upv.es/~flip/papers/AGI2012.pdf
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Turing Tests with Turing Machines
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In: http://users.dsic.upv.es/%7Eflip/papers/Turing100.pdf
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The ANYNT Project Intelligence Test Λone
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In: http://users.dsic.upv.es/%7Eflip/papers/AISB-AICAP2012a.pdf
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Turing Machines and Recursive Turing Tests
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In: http://users.dsic.upv.es/%7Eflip/papers/AISB-AICAP2012b.pdf
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