scholarly journals Artificial Intelligence and Interdisciplinary Research

2021 ◽  
Vol 11 (2) ◽  
pp. 43-43
Author(s):  
R Saravanakumar ◽  
Subhash Parija
Keyword(s):  
Artificial Intelligence ◽  
Interdisciplinary Research

The Goose, The Fly, and the Submarine Navigator

2011 ◽  
pp. 1636-1657
Author(s):  
Alexander Riegler
Keyword(s):  
Artificial Intelligence ◽  
Evolutionary Theory ◽  
Interdisciplinary Research ◽  
Explanatory Power ◽  
Cognitive Systems ◽  
Rule Based ◽  
Artificial Intelligence Research ◽  
Rule Based System ◽  
Organizational Closure ◽  
Neuronal Systems

Interdisciplinary research provides in¬spirations and insights into how a variety of disciplines can contribute to the formulation of an alternative path to artificial cognition systems. It has been suggested that results from ethology, evolutionary theory and epistemology can be condensed into four boundary conditions. They lead to the outline of an architecture for genuine cognitive systems, which seeks to overcome traditional problems known from artificial intelligence research. Two major points are stressed: (a) The maintenance of explanatory power by favoring an advanced rule-based system rather than neuronal systems, and (b) the organizational closure of the cognitive apparatus, which has far-reaching implications for the creation of meaningful agents.

scholarly journals Communication Trends in the Post-Literacy Era: From Human Creativity to the Creativity of Artificial Intelligence and Human-Machine Hybrids

2021 ◽  
Vol 27 (2) ◽  
pp. 235-249
Author(s):  
M. Yu. Gudova ◽  
◽  
E. V. Rubtsova ◽  
N. A. Simbirtseva ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Contemporary Art ◽  
Interdisciplinary Research ◽  
Human Life ◽  
Art Museum ◽  
Communication Media ◽  
Main Trend ◽  
Scientific Conference ◽  
Human Creativity ◽  
Mass Information

The article is based on the materials of the Fifth International Theoretical Scientific Conference “Communication trends in the post-literacy era: polylingualism, multimodality and polyculturalism as preconditions for new creativity”, which took place at the Institute of Humanities in November 26–28, 2020. The authors analyze the main communication trends that have developed under the influence of the Covid-2019 pandemic in the sociocultural space in 2020. The main trend is the use of artificial intelligence in such areas of socioculture as communication, media, education. The concept of creativity is clarified, the creative possibilities and limits of human and artificial intelligence are considered, the threats and dangers of the artificial intelligence‘s development and its implementation in various spheres of human life are analyzed, such as education, socialization and inculturation, journalism and mass information, contemporary art, museum and exhibition activity. The conclusion is made about the need for further interdisciplinary research of artificial intelligence in the humanitarian sphere.

Introduction in emotional chat bots & base of Bioinformatics

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
Conceptual Model ◽  
Interdisciplinary Research ◽  
Technological Development ◽  
Digital Transformation ◽  
Information Flows ◽  
It Systems ◽  
Scientific Task ◽  
Scientific And Technological Development

The article proposed interdisciplinary research should contribute to understanding the attitude of the population to the ongoing processes of digital transformation of the means of interaction with authorities, the level of their confidence in the widespread introduction of artificial intelligence technologies in the provision of public services. Understanding the psychology of the user, the specifics of information flows in public administration, the capabilities of modern IT systems - all this together will make it possible to significantly improve the corresponding communication processes.The scientific task posed within the framework of the topic is to develop a conceptual model for optimizing one of the main elements of modern e-government systems - "intelligent chat bots" designed to make the interaction of citizens with government bodies more efficient. The results of the article is contribute to the implementation of the goals, objectives and strategic guidelines of the programs of scientific and technological development of both the region and Russia as a whole.

scholarly journals Az e-sport és a robotpszichológia közös jövője

2017 ◽  
Vol 16 (4) ◽  
pp. 26
Author(s):  
Norbert Bátfai ◽  
Márió Bersenszki ◽  
Miklós Lukács ◽  
Renátó Besenczi ◽  
Gergő Bogacsovics ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Interdisciplinary Research ◽  
State Of The Art ◽  
The State ◽  
Research Perspective ◽  
Short Survey ◽  
The Future ◽  
The Common ◽  
Common Future

Jelen közlemény célkitűzése egyrészt az e-sport adott vertikális területei státuszának rövid áttekintése az interdiszciplináris, tudományos kutatás szempontjából, másrészt az e-sport és a mesterséges intelligencia kutatások kapcsolatának vizsgálata, különös tekintettel a lehetséges kutatási kitörési pontok feltárására. Az eredmények a fejlesztendő Entrópia Samu című új e-sport projekt zászlaja alatt kerülnek bemutatásra. A közlemény külön kitér az egyetemi közegben alapítandó e-sport csapatokkal kapcsolatban felmerülő kérdésekre. A munka végső tézise, hogy a jövő programozása nem egyéni fejlesztőkön, hanem tömegek e-sportolásán alapszik majd. --- The Common Future of E-sport and Robopsychology The objective of this paper is twofold. Firstly, a short survey is provided on the state of the art of some specialized areas of e-sport from an interdisciplinary research perspective. Secondly, the link between e-sport and artificial intelligence is investigated in order to identify possible breakout points. The results are presented within the framework of the new e-sport project to be created under the name Samu Entropy. The overall thesis of this paper is that the programming of the future will be based on the mass sport of gamer fans rather than individual developers.

How the Chinese language encourages the paradigm shift toward discourse in linguistics

2019 ◽  
Vol 10 (1) ◽  
pp. 84-112
Author(s):  
Mary S. Erbaugh
Keyword(s):  
Artificial Intelligence ◽  
Interdisciplinary Research ◽  
Paradigm Shift ◽  
Chinese Language ◽  
Critical Mass ◽  
Cross Cultural ◽  
Reference Tracking ◽  
International Networks ◽  
Zero Anaphora ◽  
Multilingual Scholars

Abstract The Chinese language has encouraged the paradigm shift in linguistics away from Chomsky-style sentence-internal rules toward usage-based discourse. Analysts have debated two possibilities: is Chinese an allegedly ‘inferior’ and ambiguous language because it rests on the ‘three zeros’: zero subjects, zero anaphora, and zero tense? Or does Chinese use ‘hidden complexity’ (Bisang 2009) to make reference clear by discourse marking? Chinese pressure points on linguistic theory center on these ‘three zeros’. Zero subjects have influenced a broader research category of topic-centered languages. Zero anaphora influenced reference tracking beyond the sentence. Zero tense expanded understanding of time and aspect. The process of the shift comes from international networks of multilingual scholars of Chinese. They have collaborated to form a critical mass of explicitly comparative, empirical research. Chinese interdisciplinary research has been especially influential in typology, child language, cross-cultural communications, translation and artificial intelligence. Fifty years ago, mainstream conferences, textbooks, books, and journals almost never featured Chinese. Now they routinely do.

scholarly journals Data Protection in AI Services

2021 ◽  
Vol 54 (2) ◽  
pp. 1-38
Author(s):  
Christian Meurisch ◽  
Max Mühlhäuser
Keyword(s):  
Artificial Intelligence ◽  
Data Protection ◽  
Interdisciplinary Research ◽  
Management System ◽  
Cutting Edge ◽  
Future Directions ◽  
Research Challenges ◽  
Open Research ◽  
User Data ◽  
Different Levels

Advances in artificial intelligence (AI) have shaped today’s user services, enabling enhanced personalization and better support. As such AI-based services inevitably require user data, the resulting privacy implications are de facto the unacceptable face of this technology. In this article, we categorize and survey the cutting-edge research on privacy and data protection in the context of personalized AI services. We further review the different protection approaches at three different levels, namely, the management, system, and AI levels—showing that (i) not all of them meet our identified requirements of evolving AI services and that (ii) many challenges are addressed separately or fragmentarily by different research communities. Finally, we highlight open research challenges and future directions in data protection research, especially that comprehensive protection requires more interdisciplinary research and a combination of approaches at different levels.

scholarly journals Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

2020 ◽  
Vol 3 ◽  
Author(s):  
Remy Kusters ◽  
Dusan Misevic ◽  
Hugues Berry ◽  
Antoine Cully ◽  
Yann Le Cunff ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Interdisciplinary Research ◽  
Autonomous Driving ◽  
Regulatory Agencies ◽  
Scientific Communities ◽  
Evaluation Methodologies ◽  
Research Fields ◽  
The World ◽  
Challenges And Opportunities ◽  
The Masses

The use of artificial intelligence (AI) in a variety of research fields is speeding up multiple digital revolutions, from shifting paradigms in healthcare, precision medicine and wearable sensing, to public services and education offered to the masses around the world, to future cities made optimally efficient by autonomous driving. When a revolution happens, the consequences are not obvious straight away, and to date, there is no uniformly adapted framework to guide AI research to ensure a sustainable societal transition. To answer this need, here we analyze three key challenges to interdisciplinary AI research, and deliver three broad conclusions: 1) future development of AI should not only impact other scientific domains but should also take inspiration and benefit from other fields of science, 2) AI research must be accompanied by decision explainability, dataset bias transparency as well as development of evaluation methodologies and creation of regulatory agencies to ensure responsibility, and 3) AI education should receive more attention, efforts and innovation from the educational and scientific communities. Our analysis is of interest not only to AI practitioners but also to other researchers and the general public as it offers ways to guide the emerging collaborations and interactions toward the most fruitful outcomes.

The Goose, The Fly, and the Submarine Navigator

2007 ◽  
pp. 1-26
Author(s):  
Alexander Riegler
Keyword(s):  
Artificial Intelligence ◽  
Evolutionary Theory ◽  
Interdisciplinary Research ◽  
Explanatory Power ◽  
Cognitive Systems ◽  
Rule Based ◽  
Artificial Intelligence Research ◽  
Rule Based System ◽  
Organizational Closure ◽  
Neuronal Systems

Interdisciplinary research provides in¬spirations and insights into how a variety of disciplines can contribute to the formulation of an alternative path to artificial cognition systems. It has been suggested that results from ethology, evolutionary theory and epistemology can be condensed into four boundary conditions. They lead to the outline of an architecture for genuine cognitive systems, which seeks to overcome traditional problems known from artificial intelligence research. Two major points are stressed: (a) The maintenance of explanatory power by favoring an advanced rule-based system rather than neuronal systems, and (b) the organizational closure of the cognitive apparatus, which has far-reaching implications for the creation of meaningful agents.

scholarly journals Research on Artificial Intelligence and Primary Care: A Scoping Review

2019 ◽  
Author(s):  
Jacqueline K. Kueper ◽  
Amanda L. Terry ◽  
Merrick Zwarenstein ◽  
Daniel J. Lizotte
Keyword(s):  
Artificial Intelligence ◽  
Primary Care ◽  
Scoping Review ◽  
Full Text ◽  
Interdisciplinary Research ◽  
The Body ◽  
Supervised Machine Learning ◽  
List Type ◽  
End User ◽  
Research Teams

ABSTRACTObjectiveThe purpose of this study was to assess the nature and extent of the body of research on artificial intelligence (AI) and primary care.MethodsWe performed a scoping review, searching 11 published and grey literature databases with subject headings and key words pertaining to the concepts of 1) AI and 2) primary care: MEDLINE, EMBASE, Cinahl, Cochrane Library, Web of Science, Scopus, IEEE Xplore, ACM Digital Library, MathSciNet, AAAI, arXiv. Screening included title and abstract and then full text stages. Final inclusion criteria: 1) research study of any design, 2) developed or used AI, 3) used primary care data and/or study conducted in a primary care setting and/or explicit mention of study applicability to primary care; exclusion criteria: 1) narrative, editorial, or textbook chapter, 2) not applicable to primary care population or settings, 3) full text inaccessible in the English Language. We extracted and summarized seven key characteristics of included studies: overall study purpose(s), author appointments, primary care functions, author intended target end user(s), target health condition(s), location of data source(s) (if any), subfield(s) of AI.ResultsOf 5,515 non-duplicate documents, 405 met our eligibility criteria. The body of literature is primarily focused on creating novel AI methods or modifying existing AI methods to support physician diagnostic or treatment recommendations, for chronic conditions, using data from higher income countries. Meaningfully more studies had at least one author with a technology, engineering, or math appointment than with a primary care appointment (57 (14%) compared to 217 (54%)). Predominant AI subfields were supervised machine learning and expert systems.DiscussionOverall, AI research associated with primary care is at an early stage of maturity with respect to widespread implementation in practice settings. For the field to progress, more interdisciplinary research teams with end-user engagement and evaluation studies are needed.SUMMARY BOXESSection 1: What is already known on this topicAdvancements in technology and the availability of health data have increased opportunities for artificial intelligence to be used for primary care purposes.No comprehensive review of research on artificial intelligence associated with primary care has been performed.Section 2: What this study addsThe body of research on artificial intelligence and primary care is driven by authors without appointments in primary care departments and is focused on developing artificial intelligence methods to support diagnostic and treatment decisions.There is a need for more interdisciplinary research teams and evaluation of artificial intelligence projects in ‘real world’ practice settings.

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