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

Cheryl Ann Alexander^{1, 2,} and Lidong Wang³

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

Cite this paper:
Cheryl Ann Alexander and 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

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.

Keywords:
brain science artificial intelligence business intelligence management leadership decision making

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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References:

[1]	McNulty EJ, Dorn BC, Serino R, Goralnick E, Grimes JO, Flynn LB, Pillay SS, Marcus LJ. Integrating brain science into crisis leadership development. Journal of Leadership Studies. 2018 Apr; 11(4): 7-20.
[2]	Sushil. Is management science applicable at the top level? Global Journal of Flexible Systems Management. 2018; 19(1): 1-3.
[3]	Tavis A. Talent Management: the End of the Era or the Dawn of the New Age?. People+ Strategy, Journal of the Human Resource Planning Association. 2018 Jan 1; 41(1): 4.
[4]	Jovanovic P, Beric I. Analysis of the available project management methodologies. Management: Journal of Sustainable Business and Management Solutions in Emerging Economies. 2018 Dec 18; 23(3): 1-3.
[5]	Abyad A. Project Management, Motivation Theories and Process Management. Middle East Journal of Business. 2018 Oct 1; 13(4):18-22.
[6]	Abyad A. Project Management: Science or a Craft?. Middle East Journal of Business. 2019 Jan 1; 14(1).
[7]	Ferreira A, Neves P, Gozzelino R. Multilevel Impacts of Iron in the Brain: The Cross Talk between Neurophysiological Mechanisms, Cognition, and Social Behavior. Pharmaceuticals. 2019 Sep; 12(3): 126.
[8]	Hertz U, Palminteri S, Brunetti S, Olesen C, Frith CD, Bahrami B. Neural computations underpinning the strategic management of influence in advice giving. Nature communications. 2017 Dec 19; 8(1): 2191.
[9]	Aicardi C, Fothergill BT, Rainey S, Stahl BC, Harris E. Accompanying technology development in the Human Brain Project: from foresight to ethics management. Futures. 2018 Sep 1; 102: 114-124.
[10]	Poo MM, Du JL, Ip NY, Xiong ZQ, Xu B, Tan T. China brain project: basic neuroscience, brain diseases, and brain-inspired computing. Neuron. 2016 Nov 2; 92(3): 591-596.
[11]	Wang Y, Lu J, Gavrilova M, Fiorini RA, Kacprzyk J. Brain-Inspired Systems (BIS): Cognitive Foundations and Applications. In2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2018 Oct 7 (pp. 995-1000).
[12]	Ahmad AS, Sumari AD. Cognitive artificial intelligence: Brain-inspired intelligent computation in artificial intelligence. In2017 Computing Conference 2017 Jul 18 (pp. 135-141).
[13]	Sebastian A, Le Gallo M, Burr GW, Kim S, BrightSky M, Eleftheriou E. Tutorial: Brain-inspired computing using phase-change memory devices. Journal of Applied Physics. 2018 Sep 21; 124(11): 111101.
[14]	De Salvo B. Brain-Inspired technologies: Towards chips that think?. In2018 IEEE International Solid-State Circuits Conference-(ISSCC) 2018 Feb 11 (pp. 12-18).
[15]	Zhong N, Yau SS, Ma J, Shimojo S, Just M, Hu B, Wang G, Oiwa K, Anzai Y. Brain informatics-based big data and the wisdom web of things. IEEE Intelligent Systems. 2015 Sep 4; 30(5): 2-7.
[16]	Mei Y, Tan G, Liu Z. An improved brain-inspired emotional learning algorithm for fast classification. Algorithms. 2017; 10(2): 70.
[17]	Mao Q, Hu F, Hao Q. Deep learning for intelligent wireless networks: A comprehensive survey. IEEE Communications Surveys & Tutorials. 2018 Jun 12; 20(4): 2595-621.
[18]	Ozmen E. Audience analysis as organizational change agent: A project management methodology approach. The Journal of Modern Project Management. 2019 May 25; 7(1).
[19]	Sumari AD, Ahmad AS, Wuryandari AI, Sembiring J. Constructing brain-inspired knowledge-growing system: a review and a design concept. In2010 International Conference on Distributed Frameworks for Multimedia Applications 2010 Aug 2 (pp. 1-7).
[20]	Chandrinos SK, Sakkas G, Lagaros ND. AIRMS: A risk management tool using machine learning. Expert Systems with Applications. 2018 Sep 1; 105: 34-48.
[21]	Kirsch A. A unifying computational model of decision making. Cognitive processing. 2019 May 1;20(2):243-59.
[22]	Hurst C. Towards a framework for making effective computational choices: A ‘very big idea’ of mathematics. Australian Primary Mathematics Classroom. 2016; 21(4): 16-21.
[23]	Diamant E. Designing Artificial Cognitive Architectures: Brain Inspired or Biologically Inspired?. Procedia computer science. 2018 Jan 1; 145: 153-157.
[24]	Naili M, Boubetra A, Tari A, Bouguezza Y, Achroufene A. Brain-inspired method for solving fuzzy multi-criteria decision making problems (BIFMCDM). Expert Systems with Applications. 2015 Mar 1; 42(4): 2173-83.
[25]	Letkowski J. Decision Models for the Newsvendor Problem--Learning Cases for Business Analytics. Journal of Instructional Pedagogies. 2018 Oct;21.
[26]	Wang S, Liang YC, Li WD, Cai XT. Big Data enabled Intelligent Immune System for energy efficient manufacturing management. Journal of cleaner production. 2018 Sep 10; 195: 507-520.
[27]	Sindhu MS, Rashid T, Kashif A, Guirao JL. Multiple Criteria Decision Making Based on Probabilistic Interval-Valued Hesitant Fuzzy Sets by Using LP Methodology. Discrete Dynamics in Nature and Society. 2019; 2019.
[28]	Zamirpour E, Mosleh M. A biological brain-inspired fuzzy neural network: Fuzzy emotional neural network. Biologically inspired cognitive architectures. 2018 Oct 1; 26: 80-90.
[29]	Park SA, Sestito M, Boorman ED, Dreher JC. Neural computations underlying strategic social decision-making in groups. Nature communications. 2019 Nov 21;10(1):1-2.