scholarly journals Human Knowledge in Constructing AI Systems — Neural Logic Networks Approach towards an Explainable AI

2018 ◽  
Vol 126 ◽  
pp. 1561-1570 ◽  
Author(s):  
Liya Ding
Keyword(s):  
Human Knowledge ◽  
Explainable Ai ◽  
Neural Logic

Redefining the Miraculous: al-Ghazālī, Ibn Rushd and Said Nursi on Qur'anic Miracle Stories

2011 ◽  
Vol 13 (2) ◽  
pp. 86-108 ◽  
Author(s):  
Isra Yazicioglu
Keyword(s):  
Science And Technology ◽  
Natural Order ◽  
Human Knowledge ◽  
Religious Traditions ◽  
Sacred Texts ◽  
Ibn Rushd ◽  
Heated Debate ◽  
Indirect Confirmation ◽  
Said Nursi

Miracle stories in sacred texts have been a source of both fascination and heated debate across religious traditions. Qur'anic miracle stories are especially interesting because they are part of a discourse that also de-emphasises the miraculous. By looking at how three scholars have engaged with Qur'anic miracle stories, I here investigate how these narratives have been interpreted in diverse and fruitful ways. The first part of the article analyses how two medieval scholars, al-Ghazālī (d. 505/1111) and Ibn Rushd (d. 595/1198), engaged with the implications of miracle stories. Taking his cue from miracle stories, al-Ghazālī offered a sophisticated critique of natural determinism and suggested that the natural order should be perceived as a constantly renewed divine gift. In contrast, Ibn Rushd dismissed al-Ghazālī’s critique as sophistry and maintained that accepting the possibility that the natural order might be suspended was an affront to human knowledge and science. In the second part, I turn to Bediuzzaman Said Nursi (1870–1960), whose interpretation offers a crystallisation of al-Ghazālī’s insights as well as, surprisingly, an indirect confirmation of Ibn Rushd's concerns about human knowledge and science. Nursi redefines the miraculous in light of miracle stories, and interprets them as reminders of ‘everyday miracles’ and as encouragements to improve science and technology in God's name.

Minting the Obverse: Library and Information Studies as a One-Sided Coin

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Tim Gorichanaz
Keyword(s):  
Professional Education ◽  
Liberal Arts ◽  
Academic Research ◽  
Human Knowledge ◽  
Research Department ◽  
Library And Information Studies ◽  
Information Studies ◽  
Key Concepts

A synthesis of the work of Michael Buckland reveals the critique that, for too long, LIS has been a one-sided coin. Growing out of professional education, LIS has traditionally nurtured only its applied, practical and empirical side. Challenging this imbalance, emerging research in LIS points to the development of the basic, liberal arts and conceptual side of the discipline. Indeed, the advent of JCLIS reflects this trend. An interest in basic LIS is welcome for a number of reasons: By clarifying key concepts, it will lead to improved practice; by contributing more widely to human knowledge it will fulfill the obligations of being an academic research department; and by exploring information issues which are becoming relevant to all members of society, it will realize a greater purpose. This paper surveys the extent to which the basic side of LIS has emerged, examining the content of the top LIS journals and the curricula of the top LIS institutions. The findings point to an inchoate reverse, but one with numerous challenges that remain beyond the horizon. This paper serves as an invitation to researchers and educators to consider how they can further contribute to minting the basic side of the coin of LIS.

Language and Outer Space

2018 ◽  
Vol 7 (1) ◽  
pp. 80-87
Author(s):  
Laura Carmen Cuțitaru
Keyword(s):  
20Th Century ◽  
Native Language ◽  
Outer Space ◽  
Linguistic Theory ◽  
Human Knowledge ◽  
The Way

Abstract The 2016 much acclaimed American sci-fi movie Arrival is based on (what is in reality an extension of) the so-called “Sapir-Whorf” hypothesis, a linguistic theory set forth in the first half of the 20th century, according to which one’s native language dictates the way in which one perceives reality. By taking into account the latest in human knowledge, this paper tries to provide arguments as to why such a claim works wonderfully in fiction, but not in science.

Editorial

2013 ◽  
Vol 1 (2) ◽  
pp. 1-3
Author(s):  
João José Pinto Ferreira ◽  
Anne-Laure Mention ◽  
Marko Torkkeli
Keyword(s):  
Economic Development ◽  
Education Research ◽  
Research And Development ◽  
Research Integrity ◽  
Academic Community ◽  
Human Knowledge ◽  
Academic Institutions ◽  
Current State ◽  
State Of Research ◽  
Successive Generations

The expansion of human knowledge in all areas is largely the outcome of the activity of academic institutions and the result of their mission to contribute to the cultural, intellectual and economic development of the society, involving education, research and university extension activities. For many years, the academic community has been organizing itself in all different ways to respond to current and future needs, ensuring research integrity and recognition, and building on successive generations of peers to validate and support the launching and development of novel research streams. We owe the current state of research and development of our society to generations of scholars and scientists that have brought all of us here.(...)

Understanding Machine Learning for Diversified Portfolio Construction by Explainable AI

2020 ◽  
Author(s):  
Markus Jaeger ◽  
Stephan Krügel ◽  
Dimitri Marinelli ◽  
Jochen Papenbrock ◽  
Peter Schwendner
Keyword(s):  
Machine Learning ◽  
Portfolio Construction ◽  
Explainable Ai ◽  
Diversified Portfolio

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

2017 ◽  
Vol 3 (2) ◽  
pp. 108
Author(s):  
Dian Permata Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Inference Method ◽  
Medical Field ◽  
Forward Chaining ◽  
At Home

<p>Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi <em>forward chaining</em>. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga <em>user</em> akan mendapatkan solusi dari hasil pertanyaan tadi. </p><p><em><br /></em></p><p><em>Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.</em><em>Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.</em></p>

Kant’s ‘Transcendental Deduction’

2018 ◽  
Author(s):  
Barry Stroud
Keyword(s):  
A Priori ◽  
Human Mind ◽  
Critical Assessment ◽  
Structural Description ◽  
A Posteriori ◽  
Human Knowledge ◽  
Transcendental Deduction ◽  
The World ◽  
Empirical Realism

This chapter presents a straightforward structural description of Immanuel Kant’s conception of what the transcendental deduction is supposed to do, and how it is supposed to do it. The ‘deduction’ Kant thinks is needed for understanding the human mind would establish and explain our ‘right’ or ‘entitlement’ to something we seem to possess and employ in ‘the highly complicated web of human knowledge’. This is: experience, concepts, and principles. The chapter explains the point and strategy of the ‘deduction’ as Kant understands it, as well as the demanding conditions of its success, without entering into complexities of interpretation or critical assessment of the degree of success actually achieved. It also analyses Kant’s arguments regarding a priori concepts as well as a posteriori knowledge of the world around us, along with his claim that our position in the world must be understood as ‘empirical realism’.

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