Passing a Hide-and-Seek Third-Person Turing Test

Cenkner, Andrew; Bulitko, Vadim; Legge, Eric L. G.; Anderson, Craig G.; Brown, Matthew

doi:10.1109/tciaig.2013.2275162

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…This can only be the result of human agency; there exists to date no (publicly available) computer program that creates this. We should note that a first artificial intelligence model which attempts to imitate human hiding behavior is described in Cenkner, Bulitko, and Spetch (2011), but this non-public model is not designed to determine number placement in an array.…”

Section: Discussionmentioning

confidence: 99%

Position preference and position change of hiders in the game of hide-and-seek

Sanderson

2018

Quarterly Journal of Experimental Psychology

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We study common tendencies adult hiders have in choosing and changing positions in the game of hide-and-seek. In our case, the game takes the form of commercial and homemade advent calendars in which the creator has hidden Numbers 1, 2, . . ., 24 in a seemingly random way. By comparing the numberings in the 332 human-generated calendars with random numberings, we identify common tendencies that hiders share. We observe that hiders hide things far apart and spread out from each other, the behavior which is consistent with, but concurrently extends previous research on hiding and its connection with subjective randomness.

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Section: Discussionmentioning

confidence: 99%

Position preference and position change of hiders in the game of hide-and-seek

Sanderson

2018

Quarterly Journal of Experimental Psychology

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“…AlphaGo program highlights the potential for devices and systems to become smarter. Observers of the "Go" competition commented that moves made by the AlphaGo were unlike any a human would ever make [25]; such machine learning and intelligence will take technology to the next level of complexity and automation [48]. This will facilitate smart embedded systems that can look after us, such as current implanted insulin pumps which monitor blood glucose levels and medicate accordingly [3].…”

Section: Technology Opportunitiesmentioning

confidence: 99%

Intelligent Subcutaneous Body Area Networks: Anticipating Implantable Devices

Catherwood

Finlay

McLaughlin

2016

IEEE Technol. Soc. Mag.

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The area of emerging and futuristic intelligent bodyimplantable networked devices will begin to materialize as one of the next big themes in future personal computing, offering huge rewards to society if implemented correctly. With this technology potentially beginning to enter the mainstream in the next 5-15 years considerable effort is required to develop legislation, policies, procedures, device and network security, and to convince the general public that this technology is the next logical step in personal computing. This article investigates these systems and analyses the benefits and hurdles the technology is likely to face if we are to realize such systems in our societies of tomorrow.

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