Multi-Agent Systems for Power Engineering Applications�Part 1: Concepts, Approaches, and Technical Challenges (2020)
G Shobha, L. Hari Prasad, B Swetha
JCR. 2020: 12184-12188
Abstract
The paper highlights issues of studying artificial intelligence (AI). The path taken here is to engage the reader in a discussion of interdisciplinarity/crossdisciplinarity of AI studies. It begins with a basic assumption and key argument that anti-disciplinarity rather than inter- or multi-disciplinarity will bring a new dynamic to scientific research dealing with �artificial intelligence� and �artificial sociality�. Discussion of the social scientists� concerns and problems is reported in what follows. On this base the authors develop their ideas which may help theorists and empirical researchers to tackle questions of AI development in a society. In a conclusion the paper makes correlations of the research outcomes with a reality of higher education
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