Towards Autonomous AI Systems for Resource Management: Applications in Industry and Lessons Learned-Reference-Cited by-同舟云学术

Towards Autonomous AI Systems for Resource Management: Applications in Industry and Lessons Learned

Published:2018 Issue: Volume: Page:12-25
ISSN:0302-9743
Container-title:Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection
language:
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Author:

Skobelev Petr

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-94580-4_2

Reference17 articles.

1. Capitalizing on Complexity? Insights from the Global Chief Executive Officer Study, IBM, USA (2010). http://www-01.ibm.com/industries/.government/ieg/pdf/CEOstudy_2010_GovernmentFocus.pdf . Accessed 8 Feb 2018

2. Studies in Computational Intelligence;P Skobelev,2017

3. Gartner: Top Strategic Predictions for 2016 and Beyond: The Future is a Digital Thing (2016). https://www.gartner.com/doc/3142020?refval=&pcp=mpe

4. Artificial Intelligence and Robotics – Imperial College, UK-RAS White Paper, 48 p. (2017). http://hamlyn.doc.ic.ac.uk/uk-ras/sites/default/files/UK_RAS_wp_AI_web_retina.pdf

5. Rzevski, G., Skobelev, P.: Managing Complexity. WIT Press, London-Boston (2014)

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