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Mei Y, Tan G, Liu Z. An improved brain-inspired emotional learning algorithm for fast classification. Algorithms. 2017; 10(2): 70.

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Article

Brain Science, Brain-inspired Artificial Intelligence, and Applications in Business and Management

1Department of Engineering Management, Northcentral University, San Diego, California, USA

2Institute for IT innovation and Smart Health, Vicksburg, Mississippi, USA

3Institute for Systems Engineering Research, Mississippi State University, Vicksburg, Mississippi, USA


Journal of Business and Management Sciences. 2020, Vol. 8 No. 1, 1-6
DOI: 10.12691/jbms-8-1-1
Copyright © 2019 Science and Education Publishing

Cite this paper:
Cheryl Ann Alexander, Lidong Wang. Brain Science, Brain-inspired Artificial Intelligence, and Applications in Business and Management. Journal of Business and Management Sciences. 2020; 8(1):1-6. doi: 10.12691/jbms-8-1-1.

Correspondence to: Cheryl  Ann Alexander, Department of Engineering Management, Northcentral University, San Diego, California, USA. Email: cheryl@techhealthsolutions.org

Abstract

Brain science and brain-inspired artificial intelligence have the potential for strengthening business and management. Brain-inspired artificial intelligence (AI) uses principles of brain science to build algorithms and AI systems with human-like intelligence. Some concepts (e.g., cognition, inference, memory, and intelligence) and principles of brain science are introduced in this paper. The research progress in several topics are also presented that include brain-inspired artificial intelligence and brain-inspired computing, project management and brain-inspired management, the integration of brain science into leadership (especially crisis leadership), and brain-inspired decision-making for business. Future research and trends in some topics are introduced.

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