On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence

Conference paper


Patel, S., Wang, Y., Plataniotis, K.N., Kwong, S., Leung, H., Yanushkevich, S., Karray, F., Hou, M., Howard, N., Fiorini, R.A., Soda, P. and Tunstel, E. (2019). On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. IEEE International Conference on Cognitive Informatics & Cognitive Computing 2019. Milan, Italy 23 - 25 Jul 2019 Institute of Electrical and Electronics Engineers (IEEE).
AuthorsPatel, S., Wang, Y., Plataniotis, K.N., Kwong, S., Leung, H., Yanushkevich, S., Karray, F., Hou, M., Howard, N., Fiorini, R.A., Soda, P. and Tunstel, E.
TypeConference paper
Abstract

Autonomous systems underpinned by
cognitive intelligence represent advanced forms of artificial
intelligence studied in intelligence science, systems science,
and computational intelligence. Traditional theories and
technologies of autonomous systems put emphases on humansystem
interactions and humans in-the-loop. This paper
explores the intelligence and system foundations of
autonomous systems. It focuses on what structural and
behavioral properties constitute the intelligence power of
autonomous systems. It explains how system intelligence
aggregates from reflexive, imperative, adaptive intelligence to
autonomous and cognitive intelligence. A Hierarchical
Intelligence Model (HIM) is introduced to elaborate the
evolution of human and system intelligence as an inductive
process. A set of properties of system autonomy is formally
analyzed towards a wide range of autonomous system
applications in computational intelligence and systems
engineering.

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Year2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Accepted author manuscript
License
File Access Level
Open
Publication dates
Online23 Jul 2019
Publication process dates
Accepted24 Jun 2019
Deposited21 Aug 2019
Web address (URL) of conference proceedingshttps://www.iccicc19.polimi.it/
Permalink -

https://openresearch.lsbu.ac.uk/item/87y3q

Download files


Accepted author manuscript
IEEE_ICCICC_2019_paper_208.pdf
License: CC BY 4.0
File access level: Open

  • 131
    total views
  • 549
    total downloads
  • 1
    views this month
  • 2
    downloads this month

Export as

Related outputs

Autoencoder Based Anomaly Detection for SCADA Networks
Nazir, S., Patel, S. and Patel, D. (2021). Autoencoder Based Anomaly Detection for SCADA Networks. International Journal of Artificial Intelligence and Machine Learning. 11 (2), pp. 83-99. https://doi.org/10.4018/ijaiml.20210701.oa6
The Cognitive and Mathematical Foundations of Analytic Epidemiology
Patel, S., Wang, Y., Platanioti, K.N., Wang, J.Z., Hou, M., Zhou, M., Howard, N., Peng, J., Huang, R. and Zhang, D. (2020). The Cognitive and Mathematical Foundations of Analytic Epidemiology. 19th IEEE International Conference on Cognitive Informatics and Cognitive Computing. Beijing, China 26 - 28 Sep 2020 Institute of Electrical and Electronics Engineers (IEEE).
Assessing Hyper Parameter Optimization and Speedup for Convolutional Neural Networks
Nazir, S., Patel, S. and Patel, D. (2020). Assessing Hyper Parameter Optimization and Speedup for Convolutional Neural Networks. International Journal of Artificial Intelligence and Machine Learning. 10 (2), pp. 1-17. https://doi.org/10.4018/ijaiml.2020070101
Cloud-based Autonomic Computing Framework for Securing SCADA Systems
Patel, S., Patel, D. and Nazir, S. (2020). Cloud-based Autonomic Computing Framework for Securing SCADA Systems. in: Chui, K.T., Lytras, M.D., Liu, R.W. and Zhao, M. (ed.) Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence IGI Global.
A Critical Analysis Of ‘Creativity’ In Sustainable Production And Design
Empson, T., Chance, S. and Patel, S. (2019). A Critical Analysis Of ‘Creativity’ In Sustainable Production And Design. 21st International Conference on Engineering and Product Design Education . University of Strathclyde, Glasgow 12 - 13 Sep 2019 https://doi.org/10.35199/epde2019.4
Cognitive Informatics
Wang, Y., Howard, N., Kacprzyk, J., Frieder, O., Sheu, P., Fiorini, R.A., Gavrilova, M.L., Patel, S., Peng, J. and Widrow, B. (2018). Cognitive Informatics. International Journal of Cognitive Informatics and Natural Intelligence. 12 (1), pp. 1-13. https://doi.org/10.4018/ijcini.2018010101
Formal Ontology Generation by Deep Machine Learning
Wang, Y, Valipour, M, Zatarain, O, Gavrilova, M, Hussain, A, Howard, N and Patel, S. (2018). Formal Ontology Generation by Deep Machine Learning. Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017 IEEE 16th International Conference on. Oxford 26 - 28 Jul 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCI-CC.2017.8109723
Hyper Parameters Selection for Image Classification in Convolutional Neural Networks
Patel, S. (2018). Hyper Parameters Selection for Image Classification in Convolutional Neural Networks. IEEE International Conference on Cognitive Informatics & Cognitive Computing 2018. Berkeley, Califormia, USA 15 - 18 Jul 2018 Institute of Electrical and Electronics Engineers (IEEE).
A Survey and Analysis on Sequence Learning Methodologies and Deep Neural Networks
Patel, S., Wang, Y, Zatarain, O, Graves, D, Gavrilova, M and Howard, N (2018). A Survey and Analysis on Sequence Learning Methodologies and Deep Neural Networks. IEEE International Conferenece on Cognitive Informatics & Cognitive Computing. Berkeley, California, USA 16 - 18 Jul 2018 Institute of Electrical and Electronics Engineers (IEEE).
Towards a Business Model Framework to Increase Collaboration in the Freight Industry
Vargas, A, Patel, S. and Patel, D. (2018). Towards a Business Model Framework to Increase Collaboration in the Freight Industry. Logistics. 2 (4), p. 22. https://doi.org/10.3390/logistics2040022
Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering
Patel, S. (2017). Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering. International Journal of Cognitive Informatics and Natural Intelligence. 11 (1), pp. 1-15. https://doi.org/10.4018/IJCINI.2017010101
Assessing and Augmenting SCADA Cyber Security-A Survey of Techniques
Patel, S., Nazir, S and Patel, D. (2017). Assessing and Augmenting SCADA Cyber Security-A Survey of Techniques. Computers & Security. 70, pp. 436-454. https://doi.org/10.1016/j.cose.2017.06.010
Autonomic Computing Architecture for SCADA Cyber Security
Patel, S., Nazir, S and Patel, D. (2017). Autonomic Computing Architecture for SCADA Cyber Security. International Journal of Cognitive Informatics and Natural Intelligence. 11 (4). https://doi.org/10.4018/IJCINI.2017100104
Stimulating intellectual activity with adaptive environment (SMILE)
Gusev, M, Patel, S. and Tasic, J (2017). Stimulating intellectual activity with adaptive environment (SMILE). The 8th Balkan Conference in Informatics. Skopje, Macedonia 20 - 23 Sep 2017 London South Bank University. https://doi.org/10.1145/3136273.3136283
Autonomic computing meets SCADA security
Nazir, S, Patel, S. and Patel, D. (2017). Autonomic computing meets SCADA security. 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017. Oxford London South Bank University. pp. 498-502 https://doi.org/10.1109/ICCI-CC.2017.8109795
Quantum information processes in protein microtubules of brain neurons
Enaki, NA, Koroli, V, Bazgan, S, Nistreanu, A, Palistrant, S, Bogoev, D, Turcan, M, Pislari, T, Boshneaga, Y, Lambropoulos, N, Patel, S., Khrennikov, A, Marinucci, M, Kwok, SC, Pannese, L, Arniani, M, Torrenti, R, Maslobrod, S, Scherbakov, V, Kuznetsov, E, Moldovanu, I, Misic, O, Odobescu, S, Lupusor, A, Cernei, A, Vovc, V, Arnaut, O, Ciobanu, N, Tuzlucov, P, Kernbach, S, Sorli, A and Anisimov, V (2016). Quantum information processes in protein microtubules of brain neurons. IFMBE Proceedings. 55, pp. 245-249. https://doi.org/10.1007/978-981-287-736-9_60
Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning
Vargas, A, Boza, A, Patel, S., Patel, D., Cuenca, L and Ortiz, A (2016). Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning. Data and Knowledge Engineering. 105, pp. 5-22. https://doi.org/10.1016/j.datak.2015.10.002
Risk Management in hierarchical production planning using inter-enterprise architecture
Vargas, A, Boza, A, Patel, S., Patel, D., Cuenca, L and Ortiz, A (2015). Risk Management in hierarchical production planning using inter-enterprise architecture. 16th IFIP Working Conference on Virtual Enterprise (PRO-VE 15). Albi, France 05 - 07 Oct 2015 London South Bank University.