IEEE/CAA Journal of Automatica Sinica
Citation: | Yingxu Wang, Ming Hou, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Edward Tunstel, Imre J. Rudas and Ljiljana Trajkovic, "Towards a Theoretical Framework of Autonomous Systems Underpinned by Intelligence and Systems Sciences," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 52-63, Jan. 2021. doi: 10.1109/JAS.2020.1003432 |
[1] |
H. A. Abbass, G. Leu, and K. Merrick, “A review of theoretical and practical challenges of trusted autonomy in big data,” IEEE Access, vol. 4, pp. 2808–2830, May 2016.
|
[2] |
A. E. Leeper, K. Hsiao, M. Ciocarlie, L. Takayama, and D. Gossow, “Strategies for human-in-the-loop robotic grasping,” in Proc. 7th Annu. ACM/IEEE Int. Conf. Human-Robot Interaction, Boston, USA, 2012, pp. 1–8.
|
[3] |
Y. Wang, S. Yanushkevich, M. Hou, K. N. Plataniotis, M. Coates, M. Gavrilova, Y. Hu, F. Karray, H. Leung, A. Mohammadi, S. Kwong, E. Tunstel, L. Trajkovic, I. J. Rudas, and J. Kacprzy, “A tripartite framework of trustworthiness of autonomous systems, ” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Oct. 2020.
|
[4] |
Y. Wang, S. Kwong, H. Leung, J. H. Lu, M. H. Smith, L. Trajkovic, E. Tunstel, K. N. Plataniotis, G. G. Yen, and W. Kinsner, “Brain-inspired systems: A transdisciplinary exploration on cognitive cybernetics, humanity, and systems science toward autonomous artificial intelligence,” IEEE Syst. Man Cybern. Mag., vol. 6, no. 1, pp. 6–13, Jan. 2020.
|
[5] |
Y. Wang, “Towards the abstract system theory of system science for cognitive and intelligent systems,” Complex Intell. Syst., vol. 1, no. 1–4, pp. 1–22, Jun. 2015.
|
[6] |
D. P. Watson and D. H. Scheidt, “Autonomous systems,” Johns Hopkins Appl. Phys. Lab. Tech. Dig., vol. 26, no. 4, pp. 268–376, 2005.
|
[7] |
M. Hou, S. Banbury, and C. Burns, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective. Boca Raton, USA: CRC Press, 2016.
|
[8] |
J. S. Albus, “Outline for a theory of intelligence,” IEEE Trans. Syst. Man Cybern., vol. 21, no. 3, pp. 473–509, May/Jun. 2019.
|
[9] |
W. R. Ashby, “Requisite variety and implications for control of complex systems,” Cybernetica, vol. 1, pp. 83–99, 1958.
|
[10] |
E. A. Bender, Mathematical Methods in Artificial Intelligence. Los Alamitos, USA: IEEE Computer Society Press, 1996.
|
[11] |
L. Chen, X. M. Hu, W. Tian, H. Wang, D. P. Cao, and F.-Y. Wang, “Parallel planning: A new motion planning framework for autonomous driving,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 236–246, Jan. 2019. doi: 10.1109/JAS.2018.7511186
|
[12] |
G. Fortino, W. Russo, C. Savaglio, W. M. Shen and M. C. Zhou, “Agent-oriented cooperative smart objects: From IoT system design to implementation,” IEEE Trans. Syst. Man Cybern. Syst., vol. 48, no. 11, pp. 1939–1956, Nov. 2018.
|
[13] |
M. Hou, H. B. Zhu, M. C. Zhou, and G. R. Arrabito, “Optimizing operator-agent interaction in intelligent adaptive interface design: A conceptual framework,” IEEE Trans. Syst. Man Cybern. C Appl. Rev., vol. 41, no. 2, pp. 161–174, Mar. 2011.
|
[14] |
G. J. Klir, Facets of Systems Science. New York, USA: Plenum, 1991.
|
[15] |
Y. LeCun, Y. Bengio and G. Hinton, “Deep learning,” Nature, vol. 521, no. 7553, pp. 436–444, May 2015.
|
[16] |
J. W. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos, “Face recognition using kernel direct discriminant analysis algorithms,” IEEE Trans. Neural Netw., vol. 14, no. 1, pp. 117–126, Jan. 2003.
|
[17] |
Y. F. Ma, Z. Y. Wang, H. Yang, and L. Yang, “Artificial intelligence applications in the development of autonomous vehicles: A survey,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 315–329, Mar. 2020. doi: 10.1109/JAS.2020.1003021
|
[18] |
J. McCarthy, M. L. Minsky, N. Rochester, and C. E. Shannon, A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. Hanover, USA: Dartmouth College, 1995.
|
[19] |
A. Mohammadi and K. N. Plataniotis, “Event-based estimation with information-based triggering and adaptive update,” IEEE Trans. Signal Process., vol. 65, no. 18, pp. 4924–4939, Sept. 2017.
|
[20] |
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King, D. Kumaran, D. Wierstra, S. Legg, and D. Hassabis, “Human-level control through deep reinforcement learning,” Nature, vol. 518, no. 7540, pp. 529–533, Jan. 2015.
|
[21] |
T. O’Connor and D. Robb, Philosophy of Mind: Contemporary Readings. London, UK: Routledge, 2003.
|
[22] |
Y. Sheng, H. B. Zhu, X. Z. Zhou, and W. T. Hu, “Effective approaches to adaptive collaboration via dynamic role assignment,” IEEE Trans. Syst. Man Cybern. Syst., vol. 46, no. 1, pp. 76–92, Jan. 2016.
|
[23] |
S. Wang, W. W. Ding, J. J. Li, Y. Yuan, L. W. Ouyang, and F.-Y. Wang, “Decentralized autonomous organizations: Concept, model, and applications,” IEEE Trans. Comput. Soc. Syst., vol. 6, no. 5, pp. 870–878, Oct. 2019.
|
[24] |
Y. Wang, “On abstract intelligence: Toward a unifying theory of natural, artificial, machinable, and computational intelligence,” Int. J. Softw. Sci. Comput. Intell., vol. 1, no. 1, pp. 1–17, Jan–Mar. 2009.
|
[25] |
Y. Wang, Y. Wang, S. Patel, and D. Patel, “A layered reference model of the brain (LRMB),” IEEE Trans. Syst. Man Cybern. C Appl. Rev., vol. 36, no. 2, pp. 124–133, Mar. 2006.
|
[26] |
Y. Wang, “On cognitive informatics,” Brain Mind, vol. 4, no. 3, pp. 151–167, Feb. 2003.
|
[27] |
Y. Wang, “In search of denotational mathematics: Novel mathematical means for contemporary intelligence, brain, and knowledge sciences,” J. Adv. Math. Appl., vol. 1, no. 1, pp. 4–26, Sept. 2012.
|
[28] |
R. A. Wilson and F. C. Keil, The MIT Encyclopedia of the Cognitive Sciences. Cambridge, USA: MIT Press, 2001.
|
[29] |
B. Wu, X. K. Zhou, Q. Jin, F. H. Lin, and H. Leung, “Analyzing social roles based on a hierarchical model and data mining for collective decision-making support,” IEEE Syst. J., vol. 11, no. 1, pp. 356–365, Mar. 2017.
|
[30] |
Y. Wang, “Keynote: Intelligent mathematics: A basic research on foundations of autonomous systems, general AI, machine learning, and intelligence science,” in Proc. IEEE 19th Int Conf. Cognitive Informatics and Cognitive Computing, Beijing, China, Sept. 2020, pp. 5.
|
[31] |
Y. Wang and G. Ruhe, “The cognitive process of decision making,” Int. J. Cogn. Inform. Nat. Intell., vol. 1, no. 2, pp. 73–85, Apr–Jun. 2007.
|
[32] |
Y. Wang and T. H. Falk, “From information to intelligence revolution: A perspective of Canadian research on brain and its applications,” in Proc. IEEE SMC’18-BMI’18: Workshop on Global Brain Initiatives, Miyazaki, Japan, Oct. 2018, pp. 3–4.
|
[33] |
Y. Wang, “Cognitive foundations of knowledge science and deep knowledge learning by cognitive robots,” in Proc. IEEE 16th Int. Conf.Cognitive Informatics & Cognitive Computing, Oxford, UK, 2017, pp. 5.
|
[34] |
Y. Wang, “Cognitive robots,” IEEE Robot. Autom. Mag., vol. 17, no. 4, pp. 54–62, Dec. 2010.
|
[35] |
N. Q. Wu, Z. W. Li, K. Barkaoui, X. O. Li, T. Murata, and M. C. Zhou, “IoT-based smart and complex systems: A guest editorial report,” IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 69–73, Jan. 2018. doi: 10.1109/JAS.2017.7510748
|
[36] |
H. B. Zhu, “Adaptive collaboration systems: Self-sustaining systems for optimal performance,” IEEE Syst. Man Cybern. Mag., vol. 1, no. 4, pp. 8–15, Oct. 2015.
|