Results 61 to 70 of about 1,568 (209)
KUTRITE IN QUANTUM COMPUTATIONS
Современная наука и инновации, 2022 Limitations to the use of information and operation restriction information are a consequence of the physical nature of information. Conservative logic can solve any computable by Church, because with its help it is possible to implement a Turing machine
Svetlana Anatolevna Inozemtseva
doaj
The Universal Turing Machine [PDF]
, 1972 The notion of the universal V-Turing machine is introduced and the thesis of Turing is reformulated.
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Triple equivalence for the emergence of biological intelligence
Communications PhysicsIntelligent algorithms developed evolutionarily within neural systems are considered in this work. Mathematical analyses unveil a triple equivalence between canonical neural networks, variational Bayesian inference under a class of partially observable ...
Takuya Isomura
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Language machines: Toward a linguistic anthropology of large language models
Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux +2 more
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A universal Turing machine [PDF]
, 1993 The aim of this paper is to give an example of a universal Turing machine, which is somewhat small. To get a small universal Turing machine a common constructions would go through simulating tag system (see Minsky 1967). The universal machine here simulate two-symbol Turing machines directly.
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Human tests for machine models: What lies “Beyond the Imitation Game”?
Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
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Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
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Agency Under Prediction: A Review of The Human Test
Natural Sciences, Volume 6, Issue 1, January 2026.This review examines Ron Folman's book, “The Human Test”, which proposes auditing human agency via measurable predictability scores enabled by AI and large‐scale behavioral data. It highlights the book's practical and ethical implications, while arguing that predictability must be reported with explicit data/compute budgets, out‐of‐distribution tests ...
Eliahu Cohen
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Managing Variations in Meaning: Guidance for Using “Complexity” and Related Terms
Systems Engineering, Volume 29, Issue 1, Page 114-125, January 2026.ABSTRACT The term “Complexity” is widely used across disciplines, where it often represents distinct but related concepts such as complicatedness, emergence, difficulty, uncertainty, and chaos. This variability in usage can create miscommunication and misunderstanding, even within structured organizations like the International Council on Systems ...
Joshua Sutherland +8 more
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Rather more on AI from the point of view of ordinary language philosophy
Philosophical Investigations, Volume 49, Issue 1, Page 3-24, January 2026.Abstract In a recent paper in this journal, ‘AI from the point of view of ordinary language’ (Kemp, G. (2025). ‘AI from the point of view of ordinary language’, Philosophical Investigations: 48(3): 290–298), Gary Kemp presents himself with a large and challenging task, where the dangers of going wildly wrong are not to be underestimated.
Paul Standish
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