scholarly journals Refal on Server Side

2020 ◽  
Vol 23 (4) ◽  
pp. 697-707
Author(s):  
Alexander Gusev
Keyword(s):  
Artificial Intelligence ◽  
Language Development ◽  
Machine Translation ◽  
Electronic Circuits ◽  
Algorithmic Language ◽  
Server Side ◽  
Current State ◽  
State Of Affairs ◽  
Modern Mass ◽  
Translation Optimization

This work is devoted to the description of the project of updating the technology of algorithmic language application created in the USSR in the 60s of the XX century by V. F. Turchin. The language was originally intended for various logical transformations primarily of text material. In practice, the scope was wider: machine translation, optimization and compilation of programs, proof of theorems, modeling of complex electronic circuits, solving a number of problems of artificial intelligence. The language now has a sufficient number of followers, mainly in scientific circles.The objective of the described project is to create a product that allows the use of Refal in modern mass applications and to expand the range of its potential users to the entire Internet. A survey of the community of users and developers of Refal was conducted in order to get an idea of the current state of Affairs, current implementations and ways of language development. Possible means of project implementation were considered. No information was received on similar developments under way.

scholarly journals Artificial Intelligence Machine Translation Based on Fuzzy Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Zhimin Li
Keyword(s):  
Artificial Intelligence ◽  
Machine Translation ◽  
Fault Tolerant ◽  
Fuzzy Theory ◽  
Analytic Hierarchy ◽  
Fuzzy Algorithms ◽  
The Neural Network ◽  
Permutation Model ◽  
Hierarchy Process ◽  
Translation Optimization

In order to study machine translation more in-depth, it is particularly important for the research of artificial intelligence with fuzzy algorithms to convert an unfamiliar language into a mature language. The neural network translation model has been developed in recent years and has achieved rich research results. Aiming at the current lack of accuracy of neural machine translation (NMT), which may cause ambiguity, this paper takes English machine translation as an example and proposes an artificial intelligence machine translation optimization model based on fuzzy theory. On the basis of NMT model translation, first the semantics of English machine translation is classified, a semantic selection model is built, then the analytic hierarchy process is used to determine the semantic order of English machine translation, and the corresponding fault-tolerant operation is carried out to the error-prone errors, weight the semantics, and introduce the fuzzy theory to arrange the English semantics of English machine translation. Finally, the performance of the model is analyzed through specific application experiments. The results show that the accuracy of the machine translation selection permutation model is improved by nearly 4.5% and can reach more than 90% compared with other models, and the timeliness is better than other models, which is improved by nearly 15%, which has obvious advantages.

scholarly journals On a Scientific Discipline (Once) Named AI

2018 ◽  
Author(s):  
Wolfgang Bibel
Keyword(s):  
Artificial Intelligence ◽  
Scientific Discipline ◽  
Fundamental Importance ◽  
Public Attention ◽  
The Public ◽  
Current State ◽  
State Of Affairs

The paper envisions a scientific discipline of fundamental importance comparable to Physics or Biology, reminding that a discipline of such a contour was originally intended by the founders of Artificial Intelligence (AI). AI today, however, is far from such an encompassing discipline sharing the respective research interests with at least half a dozen of other disciplines. After the analysis of this situation and its background we discuss the consequences of this splintering by means of selected challenges. We deliberate thereby what could be done to alleviate the disadvantages resulting from the current state of affairs and to leverage AI's current prominence in the public attention to re-engage in the field's broader mission.

Behavioral Genetics: Concepts for Research and Practice in Language Development and Disorders

1995 ◽  
Vol 38 (5) ◽  
pp. 1126-1142 ◽  
Author(s):  
Jeffrey W. Gilger
Keyword(s):  
Language Development ◽  
Behavioral Genetics ◽  
State Of The Art ◽  
Genetic Research ◽  
Great Promise ◽  
Behavioral Genetic ◽  
Fine Grained ◽  
Future Goals ◽  
Current State ◽  
Research Designs

This paper is an introduction to behavioral genetics for researchers and practioners in language development and disorders. The specific aims are to illustrate some essential concepts and to show how behavioral genetic research can be applied to the language sciences. Past genetic research on language-related traits has tended to focus on simple etiology (i.e., the heritability or familiality of language skills). The current state of the art, however, suggests that great promise lies in addressing more complex questions through behavioral genetic paradigms. In terms of future goals it is suggested that: (a) more behavioral genetic work of all types should be done—including replications and expansions of preliminary studies already in print; (b) work should focus on fine-grained, theory-based phenotypes with research designs that can address complex questions in language development; and (c) work in this area should utilize a variety of samples and methods (e.g., twin and family samples, heritability and segregation analyses, linkage and association tests, etc.).

POST-COSMISM AND POST-HUMANISM: TWO STRATEGIES IN THE MOD-ERN PHILOSOPHY OF THE HUMAN

Chelovek RU ◽  
2020 ◽  
pp. 217-220
Author(s):  
Natalia Rostova ◽  
Keyword(s):  
Human Exceptionalism ◽  
Current State ◽  
Human World ◽  
State Of Affairs ◽  
Post Humanism

The article analyzes the current state of affairs in philosophy in relation to the question «What is hu-man?». In this regard, the author identifies two strategies – post-humanism and post-cosmism. The strat-egy of post-humanism is to deny the idea of human exceptionalism. Humanity becomes something that can be thought of out of touch with human and understood as a right that extends to the non-human world. Post-cosmism, on the contrary, advocated the idea of ontological otherness of the human. Re-sponding to the challenges of anthropological catastrophe, its representatives propose a number of new anthropological projects.

Critical Thinking and Its Implications for Contemporary Ijtihad

2010 ◽  
Vol 27 (4) ◽  
pp. 45-67
Author(s):  
Sayed Sikandar Shah ◽  
Mek Wok Mahmud
Keyword(s):  
Critical Thinking ◽  
Legal Theory ◽  
Dynamic Feature ◽  
Islamic Revival ◽  
Current State ◽  
Islamic Legal Theory ◽  
Islamic Jurisprudence ◽  
Revival Movements ◽  
State Of Affairs ◽  
Islamic Civilization

As an intellectual process, critical thinking plays a dynamic role in reconstructing human thought. In Islamic legal thought, this intellectual tool was pivotal in building a full-fledged jurisprudential system during the golden age of Islamic civilization. With the solidification of the science of Islamic legal theory and the entrenchment of classical Islamic jurisprudence, this process abated somewhat. Recent Islamic revival movements have engendered a great zeal for reinstituting this process. The current state of affairs in constructing and reconstructing Islamic jurisprudence by and large do not, however, reflect the dynamic feature of intellectual thought in this particular discipline. Thus this article attempts to briefly delineate this concept, unveil the reality on the ground, and identify some hands-on strategies for applying critical thinking in contemporary ijtihad.

The Al-Qaeda Revival in Pakistan: Challenges and Prospects

1970 ◽  
Author(s):  
Farhan Zahid
Keyword(s):  
Law Enforcement ◽  
Terrorist Group ◽  
Al Qaeda ◽  
Vital Importance ◽  
High Profile ◽  
Current State ◽  
The Us ◽  
Terrorist Organization ◽  
State Of Affairs ◽  
Tribal Areas

Pakistan remains a country of vital importance for Al-Qaeda. It is primarily because of Al-Qaeda’s advent, rise and shelter and not to mention the support the terrorist organization found at the landscape of Pakistan during the last two decades. The emergence of in Pakistan can be traced back to the Afghan War (1979-89), with a brief sabbatical in Sudan the Islamist terrorist group rose to gain prominence after shifting back to Afghanistan. It then became a global ‘Islamist’ terrorist entity while based in neighboring Afghanistan and found safe havens in the erstwhile tribal areas of Pakistan in the aftermath of the US invasion of Afghanistan in 2001. Prior to its formation in 1988 in Peshawar (Pakistan), it had worked as Maktab al-Khidmat (Services Bureau) during the Afghan War.2 It had its roots in Pakistan, which had become a transit point of extremists en route to Afghanistan during the War. All high profile Al-Qaeda leaders, later becoming high-value targets, and members of its central Shura had lived in Pakistan at one point in their lives. That is the very reason the Al-Qaeda in Pakistan is termed as Al-Qaeda Core or Central among law enforcement practitioners and intelligence communities. Without going into details of Al-Qaeda’s past in Pakistan the aim of this article is to focus on its current state of affairs and what future lies ahead of it in Pakistan.

Artificial Intelligence and Inequality in the Middle East

2020 ◽  
pp. 624-649 ◽  
Author(s):  
Nagla Rizk
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Young Population ◽  
Mena Region ◽  
Poor Countries ◽  
Current State ◽  
Resource Poor ◽  
Youth Entrepreneurship ◽  
The Arab Spring ◽  
The Impact

This chapter looks at the challenges, opportunities, and tensions facing the equitable development of artificial intelligence (AI) in the MENA region in the aftermath of the Arab Spring. While diverse in their natural and human resource endowments, countries of the region share a commonality in the predominance of a youthful population amid complex political and economic contexts. Rampant unemployment—especially among a growing young population—together with informality, gender, and digital inequalities, will likely shape the impact of AI technologies, especially in the region’s labor-abundant resource-poor countries. The chapter then analyzes issues related to data, legislative environment, infrastructure, and human resources as key inputs to AI technologies which in their current state may exacerbate existing inequalities. Ultimately, the promise for AI technologies for inclusion and helping mitigate inequalities lies in harnessing grounds-up youth entrepreneurship and innovation initiatives driven by data and AI, with a few hopeful signs coming from national policies.

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