Results for 'Talip Genç'

9 found
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  1. Artificial Intelligence as a Means to Moral Enhancement.Michał Klincewicz - 2016 - Studies in Logic, Grammar and Rhetoric 48 (1):171-187.
    This paper critically assesses the possibility of moral enhancement with ambient intelligence technologies and artificial intelligence presented in Savulescu and Maslen (2015). The main problem with their proposal is that it is not robust enough to play a normative role in users’ behavior. A more promising approach, and the one presented in the paper, relies on an artifi-cial moral reasoning engine, which is designed to present its users with moral arguments grounded in first-order normative theories, such as Kantianism or utilitarianism, (...)
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  2. Dance Ethnography: An Analysis on Aeta Ambala Tribe of Barangay Tubo-tubo, Bataan.Jay Mark D. Sinag - 2022 - Universal Journal of Educational Research 1 (4):218-231.
    Philippine folk dances can be dated back as early as the pre-colonial period which inherited by our forefathers and passed through several generations of Filipinos. These traditional dances are considered treasures of our homeland for they depict the humble beginnings of our native countrymen and serve as a symbol of national identity. The study utilized focused ethnography and was limited on the documentation of the ethnic dance of Ayta Ambala’s tribe, their cultural values along with its cultural heritage situated at (...)
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  3. Kantian Ethics in the Age of Artificial Intelligence and Robotics.Ozlem Ulgen - 2017 - Questions of International Law 1 (43):59-83.
    Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. Aside (...)
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  4. Can the g Factor Play a Role in Artificial General Intelligence Research?Davide Serpico & Marcello Frixione - 2018 - In Davide Serpico & Marcello Frixione (eds.), Proceedings of the Society for the Study of Artificial Intelligence and Simulation of Behaviour 2018. pp. 301-305.
    In recent years, a trend in AI research has started to pursue human-level, general artificial intelli-gence (AGI). Although the AGI framework is characterised by different viewpoints on what intelligence is and how to implement it in artificial systems, it conceptualises intelligence as flexible, general-purposed, and capable of self-adapting to different contexts and tasks. Two important ques-tions remain open: a) should AGI projects simu-late the biological, neural, and cognitive mecha-nisms realising the human intelligent behaviour? and b) what is the relationship, if (...)
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  5. La modellizzazione computazionale della competenza inferen-ziale e della competenza referenziale.Fabrizio Calzavarini & Antonio Lieto - forthcoming - Sistemi Intelligenti.
    In philosophy of language, a distinction has been proposed by Diego Marconi between two aspects of lexical competence, i.e. referential and inferential competence. The former accounts for the relation-ship of words to the world, the latter for the relationship of words among themselves. The aim of the pa-per is to offer a critical discussion of the kind of formalisms and computational techniques that can be used in Artificial Intelligence to model the two aspects of lexical competence, and of the main (...)
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  6. Weak Emergence and Complexity.Henrik Thorén & Philip Gerlee - 2010 - In Harold Fellerman, Mark Dörr, Martin Hanczy, Lone Ladegaard Laursen, Sarah Mauer, Daniel Merkle, Pierre-Alain Monard, Kasper Støy & Steen Rasmussen (eds.), Artificial Life XII Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems. MIT Press. pp. 879-886.
    In this paper we consider Mark Bedau’s notion of weak emer- gence (WE) and relate it to various attempts to objectively construe complexity. We argue that the heavy reliance on a specific notion of complexity risks rendering the concept superfluous. Furthermore we discuss what sort of systems might reasonably be understood as exhibiting emergence at all and point out that the macro-level needs to be at least min- imally structured. A worry may thus be formed that macro- level generalisations provide (...)
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  7. Expanded Barro Regression in Studying Convergence Problem.Nguyen Khac Minh - 2014 - American Journal of Operations Research 4:301-310.
    This study develops the approach by Minh & Khanh [1] to the classic Barro and Sala-i-Martin method [2], [3] named “expanded Barro regression method”, and applies this approach in analyzing the convergence of provincial per capita GDP in Vietnam over the period of 1991-2007. Different aspects of provincial convergence are considered in this paper. The estimated result on conver-gence from our model is compared to other models.
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  8.  86
    Başlarken.Sabri Güngör - 1990 - European Journal of Therapeutics 1 (1):3-3.
    1988 yılında kurulan Tıp Fakültemiz Yurdumuzun en genç Tıp Fakültesi olarak süratle gelişmesini sürdürmekte ve her geçen gün bir eksiğini daha tamamlamaktadır. Bugün ilk sayısını çıkardığımız bu dergi ile özellikle bir Tıp Fakültesi için en önemli eksiklerden birisi olan bir bilimsel yayın organı eksikliğini de gidermiş oluyoruz. -/- Her gün baş döndürücü değişimlere sahne olan tıp dünyasında olan bitenler, günümüzün iletişim araçları ile en uç noktalara kadar çok kısa sürelerde gidebilmektedir. Bu iletişimde tıp yayınlarının önemi büyüktür. Elde edilen araştırma (...)
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  9. Diagonalization & Forcing FLEX: From Cantor to Cohen and Beyond. Learning from Leibniz, Cantor, Turing, Gödel, and Cohen; crawling towards AGI.Elan Moritz - manuscript
    The paper continues my earlier Chat with OpenAI’s ChatGPT with a Focused LLM Experiment (FLEX). The idea is to conduct Large Language Model (LLM) based explorations of certain areas or concepts. The approach is based on crafting initial guiding prompts and then follow up with user prompts based on the LLMs’ responses. The goals include improving understanding of LLM capabilities and their limitations culminating in optimized prompts. The specific subjects explored as research subject matter include a) diagonalization techniques as practiced (...)
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