Agent Interactions Environments-Reference-Cited by-同舟云学术

Agent Interactions Environments

Published:2023-09-19 Issue: Volume: Page:1-13
ISSN:
Container-title:Reinventing Technological Innovations with Artificial Intelligence
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Author:

Kaswan Kuldeep Singh¹,Dhatterwa Jagjit Singh²,Tiwari Ankita³

Affiliation:

1. School of Computing Science & Engineering, Galgotias University, Greater Noida, India

2. Department of Artificial Intelligence & Data Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

3. Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

Abstract

Digitization has a substantial impact on almost all facets of fashion, starting from the designing of a fashion item to its production and its usage by consumers. Fashion has always been evolving with emerging technologies. With the beginning of Artificial Intelligent (AI) enabled technologies, the fashion industry has become as dynamic as technology, emerging as a forward-looking trend giant. The impact of AI on the augmentation of fashion trends is unquestionable and the industry has witnessed its fast move from 4.0 to 5.0 with the use of advanced technology. Although fashion is changing at a very fast pace with AI, fashion professionals have raised the socio economic impact of AI on the fashion industry, including the Green Economy (GE) issues, thus, making the exploration of the phenomenon essential. This chapter explores how AI-enabled technology in the fashion industry and fashion environment, is influencing the GE status of the fashion industry, especially in the post-COVID-19 era of innovative e-commerce fashion.

Publisher

BENTHAM SCIENCE PUBLISHERS

Reference19 articles.

1. Bai Q.; Zhang M.; An ontology-based multi-agent auction system. Proceedings of the International Conference on Intelligent Technologies, 2003,197-202

2. Kaswan K.S.; Dhatterwal J.S.; Chapt. 1: The Use of Machine Learning for Sustainable and Resilient Buildings. Digital Cities Roadmap 2021,1-62

3. Bai Q.; Zhang M.; SWOAM — A semantic Web-based online auction multi-agent system. Proceedings of the International Conference on Intelligent Agents, Web Technologies, and Internet Commerce, 2004,329-336

4. Cost R.; Modelling agent conversations with coloured petri nets. Working Notes of the Workshop on Specifying and Implementing Conversation Policies 1999,59-66

5. Cranefield S.; Purvis M.; Nowostawski M.; Hwang P.; Ontology for interaction protocols. Proceedings of the 2nd International Workshop on Ontologies in Agent Systems — AAMAS’02 2002 http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS//Vol-66/oas0216.pdf