Results for 'Troubleshooting'

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  1. A Proposed Knowledge Based System for Desktop PC Troubleshooting.Ahmed Wahib Dahouk & Samy S. Abu-Naser - 2018 - International Journal of Academic Pedagogical Research (IJAPR) 2 (6):1-8.
    Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...)
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  2.  1
    Troubleshooting Community Service Projects.Susan Key & Brian Shaffer - 1997 - Proceedings of the International Association for Business and Society 8:845-851.
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  3.  8
    Learning to Troubleshoot: Multistrategy Learning of Diagnostic Knowledge for a Real‐World Problem‐Solving Task.Ashwin Ram, S. Narayanan & Michael T. Cox - 1995 - Cognitive Science 19 (3):289-340.
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  4.  11
    Troubleshooting AI and Consent.Elizabeth Edenberg & Meg Leta Jones - 2020 - In Markus Dubber, Frank Pasquale & Sunit Das (eds.), The Oxford Handbook of Ethics of AI. New York, NY, USA: pp. 347-362.
    As a normative concept, consent can perform the “moral magic” of transforming the moral relationship between two parties, rendering permissible otherwise impermissible actions. Yet, as a governance mechanism for achieving ethical data practices, consent has become strained—and AI has played no small part in its contentious state. In this chapter we will describe how consent has become such a controversial component of data protection as artificial intelligence systems have proliferated in our everyday lives, highlighting five distinct issues. We will then (...)
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  5.  77
    Cognitive Components of Troubleshooting Strategies.Leo Gugerty - 2007 - Thinking and Reasoning 13 (2):134 – 163.
    This study investigated the kinds of knowledge necessary to learn an important troubleshooting strategy, elimination. A total of 50 college-level students searched for the source of failures in simple digital networks. Production system modelling suggested that students using a common but simpler backtracking strategy would learn the more advanced elimination strategy if they applied certain domain-specific knowledge and the general-purpose problem-solving strategy of reductio ad absurdum. In an experiment, students solved network troubleshooting problems after being trained with either (...)
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  6. Modeling Digital Circuits for Troubleshooting.Walter C. Hamscher - 1991 - Artificial Intelligence 51 (1-3):223-271.
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    1:St Person Impressions of Akrasia: Troubleshooting.Björn Petersson - unknown
    1. Formal arguments against full 1:st person knowledge of motivation. 2. Empirical evidence against 1:st person knowledge of motivation. 3. Sensitivity to background factors. 4. Individuation of options. 5. Charitable or paternalistic interpretation. 6. The role of self-diagnosis in deliberation. 7. Conclusions.
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  8.  1
    Batch Repair Actions for Automated Troubleshooting.Hilla Shinitzky & Roni Stern - 2020 - Artificial Intelligence 283:103260.
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    Development of the Model of Poverty Troubleshooting for People in Electoral Zone 6, Nakorn Si Thammarat Province.Chumrurn Chuchoysuwarn - 2014 - Asian Culture and History 6 (2).
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    The Effects of Timing of Exposure to Principles and Procedural Instruction Specificity on Learning an Electrical Troubleshooting Skill.Elsa Eiriksdottir & Richard Catrambone - 2015 - Journal of Experimental Psychology: Applied 21 (4):383-394.
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  11.  62
    Models and the Mosaic of Scientific Knowledge. The Case of Immunology.Tudor M. Baetu - 2014 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 45 (1):49-56.
    A survey of models in immunology is conducted and distinct kinds of models are characterized based on whether models are material or conceptual, the distinctiveness of their epistemic purpose, and the criteria for evaluating the goodness of a model relative to its intended purpose. I argue that the diversity of models in interdisciplinary fields such as immunology reflects the fact that information about the phenomena of interest is gathered from different sources using multiple methods of investigation. To each model is (...)
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  12. Cosmic Pessimism.Eugene Thacker - 2012 - Continent 2 (2):66-75.
    continent. 2.2 (2012): 66–75 ~*~ We’re Doomed. Pessimism is the night-side of thought, a melodrama of the futility of the brain, a poetry written in the graveyard of philosophy. Pessimism is a lyrical failure of philosophical thinking, each attempt at clear and coherent thought, sullen and submerged in the hidden joy of its own futility. The closest pessimism comes to philosophical argument is the droll and laconic “We’ll never make it,” or simply: “We’re doomed.” Every effort doomed to failure, every (...)
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  13.  24
    Philosophy for Children Through the Secondary Curriculum.Lizzy Lewis & Nick Chandley (eds.) - 2012 - Continuum.
    Philosophy for Children (P4C) is an approach to learning and teaching that aims to develop reasoning and judgement. Students learn to listen to and respect their peers' opinions, think creatively and work together to develop a deeper understanding of concepts central to their own lives and the subjects they are studying. With the teacher adopting the role of facilitator, a true community develops in which rich and meaningful dialogue results in enquiry of the highest order. Each chapter is written by (...)
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  14.  20
    Can an Engineer Fix an Immune System?–Rethinking Theoretical Biology.Claudio Mattiussi - 2013 - Acta Biotheoretica 61 (2):223-258.
    In an instant classic paper ; 2002: 179–182) biologist Yuri Lazebnik deplores the poor effectiveness of the approach adopted by biologists to understand and “fix” biological systems. Lazebnik suggests that to remedy this state of things biologist should take inspiration from the approach used by engineers to design, understand, and troubleshoot technological systems. In the present paper I substantiate Lazebnik’s analysis by concretely showing how to apply the engineering approach to biological problems. I use an actual example of electronic circuit (...)
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    SIM as a Generator of Systematics and Theory Logics, and a Science of Design and Repair.Barry M. Mitnick - 2019 - Business and Society 58 (7):1448-1478.
    In Sandra Waddock’s article “Taking Stock of SIM” in this journal, she identifies key issues in the work of the Social Issues in Management Division of the Academy of Management. This article challenges her analysis of SIM scholarship and her arguments of what is necessary for the division to progress. Scholarship in SIM should emphasize two key streams: First, scholars in SIM should seek to develop a science of social forensics, design, and social repair—in essence, develop a method of problem (...)
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    Classroom-Based Instructional Strategies to Accelerate Proficiency of Employees in Complex Job Skills.Raman K. Attri & Wing S. Wu - manuscript
    The race among global firms to launch its respective products and services into the market sooner than the competitors puts pressure to equip its employees with job-related skills at the pace of business. Today’s global and dynamic business requires employees to develop highly complex cognitive skills such as decision-making, problem-solving, troubleshooting to perform their jobs proficiently. Traditional training models used by some organizations lead to a very slow speed at which employees gain an acceptable level of proficiency in the (...)
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  17.  3
    Creative Reasoning and Content-Genetic Logic.Andrew Schumann - 2018 - Studia Humana 7 (4):39-47.
    In decision making quite often we face permanently changeable and potentially infinite databases when we cannot apply conventional algorithms for choosing a solution. A decision process on infinite databases is called troubleshooting. A decision on these databases is called creative reasoning. One of the first heuristic semi-logical means for creative decision making were proposed in the theory of inventive problem solving by Genrich Altshuller. In this paper, I show that his approach corresponds to the so-called content-generic logic established by (...)
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    An Exegesis of the Parable of the Good Samaritan (Lk 10:25–35) and its Relevance to the Challenges Caused by COVID-19.Philemon M. Chamburuka & Ishanesu S. Gusha - 2020 - Hts Theological Studies 76 (1).
    The article is on the exegesis of the parable of the Good Samaritan and its relevance to the challenges that are being posed by COVID-19. Through the historical-critical approach, the article has concluded that the parable is relevant in troubleshooting the challenges that are caused by COVID-19, such as discrimination, stigma, hate and stereotypes. The article sees COVID-19 as teaching humanity the important lesson that no one can live in isolation, however powerful or economically strong they are. Therefore, there (...)
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