17,128 research outputs found

    Towards Understanding the Origin of Genetic Languages

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    Molecular biology is a nanotechnology that works--it has worked for billions of years and in an amazing variety of circumstances. At its core is a system for acquiring, processing and communicating information that is universal, from viruses and bacteria to human beings. Advances in genetics and experience in designing computers have taken us to a stage where we can understand the optimisation principles at the root of this system, from the availability of basic building blocks to the execution of tasks. The languages of DNA and proteins are argued to be the optimal solutions to the information processing tasks they carry out. The analysis also suggests simpler predecessors to these languages, and provides fascinating clues about their origin. Obviously, a comprehensive unraveling of the puzzle of life would have a lot to say about what we may design or convert ourselves into.Comment: (v1) 33 pages, contributed chapter to "Quantum Aspects of Life", edited by D. Abbott, P. Davies and A. Pati, (v2) published version with some editin

    Cioran’s ‘grain of ataraxy’ : boredom, nothingness, and quietism

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    In reading E.M. Cioran’s Ɠuvre, one is faced with an immediate and unremitting abrasiveness that has its roots with our being born into time. Indeed, the author of The Fall into Time and The Trouble with Being Born thought that it is precisely this accidental and unredeemable temporality, an original sin that results in a life forever situated in cycles of striving and becoming, which is to be exhuastingly apprehended in the experience of boredom: ‘Life is more and less than boredom, though it is in boredom and by boredom that we discern what life is worth.’ Cioran’s pessimism never relents; even his lugubrious friend Samuel Beckett had to keep a distance after finding him ‘too pessimistic’—who else but Cioran could write that ‘leukemia is the garden where God blooms’? Despite this, in Cioran’s often autobiographical, aphoristic and essayistic writings, we find a richly-timbred boredom (ironically so) which gives us incisive observations into a multitude of related concepts and realities. Nothingness, God, silence, mysticism, suffering, and quietism (among others) all feature in Cioran’s writings on boredom, as well as in this paper’s attempt to better situate Cioran’s work with respect to his more famous pessimistic and existentialist relations’s take on the subject, namely Arthur Schopenhauer and Martin Heidegger. In exploring his work on boredom vis-à-vis his specific interest in mysticism, Taoism, nothingness, time and insomnia, this paper aims to show how the failure to attain what Cioran called ‘a grain of ataraxy’, necessarily presupposes a limited set of ‘possibilities’ and ‘prospects’ when faced with the experience of ‘the sensation of the emptiness of existence’ that is boredom (Schopenhauer).peer-reviewe

    Refining Implicit Argument Annotation for UCCA

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    Predicate-argument structure analysis is a central component in meaning representations of text. The fact that some arguments are not explicitly mentioned in a sentence gives rise to ambiguity in language understanding, and renders it difficult for machines to interpret text correctly. However, only few resources represent implicit roles for NLU, and existing studies in NLP only make coarse distinctions between categories of arguments omitted from linguistic form. This paper proposes a typology for fine-grained implicit argument annotation on top of Universal Conceptual Cognitive Annotation's foundational layer. The proposed implicit argument categorisation is driven by theories of implicit role interpretation and consists of six types: Deictic, Generic, Genre-based, Type-identifiable, Non-specific, and Iterated-set. We exemplify our design by revisiting part of the UCCA EWT corpus, providing a new dataset annotated with the refinement layer, and making a comparative analysis with other schemes.Comment: DMR 202

    Search for identity in post-war Lebanon: Arab vs Phoenician

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    Master's Project (M.A.) University of Alaska Fairbanks, 2019This study uses textual analysis and network mapping in order to understand the rhetoric surrounding Phoenicianism in modern day Lebanon, using 1,336 data points from a political discussion forum. The ability of rhetoric grounded in science to persuade others of genetically essentialist views is examined, as well as the ability of social constructionism to naturally resist such rhetoric. We identify common themes found in our data set, the use of science based ethos in Phoenicianist rhetoric, and the growth (or lack thereof) of the Phoenicianist network in order to answer this question. Our research indicates that science based rhetoric and science based proofs do not lead to the growth of a network through the persuasion of others. This also presents us with some interesting opportunities for future research, such as the reasons why Phoenicianism failed to create long lasting identity change in Lebanon. A study on the various environmental factors that resulted in this instance of failed rhetoric could shine a light on the importance of demographics when it comes to successfully creating social movements

    Meaning and Understanding

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    Explores the central role in Wittgenstein's later work of his opposition to a 'mechanistic' conception of understanding. Offers a diagnosis of Kripke's skeptical paradox on this basis

    Template Mining for Information Extraction from Digital Documents

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    A Case Study on Computational Hermeneutics: E. J. Lowe’s Modal Ontological Argument

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    Computers may help us to better understand (not just verify) arguments. In this article we defend this claim by showcasing the application of a new, computer-assisted interpretive method to an exemplary natural-language ar- gument with strong ties to metaphysics and religion: E. J. Lowe’s modern variant of St. Anselm’s ontological argument for the existence of God. Our new method, which we call computational hermeneutics, has been particularly conceived for use in interactive-automated proof assistants. It aims at shedding light on the meanings of words and sentences by framing their inferential role in a given argument. By employing automated theorem reasoning technology within interactive proof assistants, we are able to drastically reduce (by several orders of magnitude) the time needed to test the logical validity of an argu- ment’s formalization. As a result, a new approach to logical analysis, inspired by Donald Davidson’s account of radical interpretation, has been enabled. In computational hermeneutics, the utilization of automated reasoning tools ef- fectively boosts our capacity to expose the assumptions we indirectly commit ourselves to every time we engage in rational argumentation and it fosters the explicitation and revision of our concepts and commitments
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