IEEE/CAA Journal of Automatica Sinica
Citation:  WenRan Zhang, "Ground0 Axioms vs. First Principles and Second Law: From the Geometry of Light and Logic of Photon to MindLightMatter UnityAI&QI," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 534553, Mar. 2021. doi: 10.1109/JAS.2021.1003868 
[1] 
G. Boole, An Investigation of the Laws of Thought. London: MacMillan, 1854.

[2] 
S. Carnot, Réflexions sur la Puissance Motrice du feu et sur les Machines Propres à Développer Cette Puissance. Paris: Bachelier, 1824.

[3] 
W. R. Zhang, YinYang Bipolar Relativity: A Unifying Theory of Nature, Agents and Causality with Applications in Quantum Computing, Cognitive Informatics and Life Sciences, New York: IGI Global, 2011.

[4] 
W. R. Zhang, “The road from fuzzy sets to definable causality and bipolar quantum intelligence–To the memory of Lotfi A. Zadeh,” J. Intell. Fuzzy Syst., vol. 36, no. 4, pp. 3019–3032, Apr. 2019. doi: 10.3233/JIFS172159

[5] 
J. McCarthy, “From here to humanlevel AI,” Artif. Intell., vol. 171, no. 18, pp. 1174–1182, Dec. 2007. doi: 10.1016/j.artint.2007.10.009

[6] 
N. Bohr, “On the notions of causality and complementarity,” Dialectica, vol. 2, no. 3–4, pp. 312–319, Nov. 1948. doi: 10.1111/j.17468361.1948.tb00703.x

[7] 
A. Einstein, Famous Letter to J. E. Switzer (1953). [cf. de Solla Price, D. (1963), Science since Babylon. Yale U. Press, New Haven, 15, Note 10. ]

[8] 
A. Einstein, “Maxwell’s influence on the evolution of the idea of physical reality (On the one hundredth anniversary of Maxwell’s birth),” Published, 1931, in James Clerk Maxwell: A Commemoration Volume, Cambridge University Press. “On the methods of theoretical physics,” (1933) in Ideas and Opinions. (New York: Bonanza, 1954), pp. 270–276.

[9] 
A. Einstein, “Physics and reality,” J. of the Franklin Institute, vol. 221, no. 3, pp. 349–382, 1936.

[10] 
A. Einstein, “The foundation of the general theory of relativity,” Ann. Phys., vol. 49, pp. 769–822, 1916.

[11] 
L. Smolin, The Trouble With Physics: The Rise of String Theory, the Fall of a Science, and what Comes Next? New York: Houghton Mifflin Company, 2006.

[12] 
L. A. Zadeh, “Fuzzy sets,” Inform. Control, vol. 8, no. 3, pp. 338–353, Jun. 1965. doi: 10.1016/S00199958(65)90241X

[13] 
L. A. Zadeh, “Fuzzy logic,” Scholarpedia, vol. 3, no. 3, pp. 1766, 2008. doi: 10.4249/scholarpedia.1766

[14] 
R. Rorty, Contingency, Irony, and Solidarity. Cambridge: Cambridge University Press, 1989.

[15] 
Y. Hao, Fuzzy Control and Modeling: Analytical Foundations and Applications. New York: WileyIEEE Press, 2000.

[16] 
J. M. Garibaldi, “The need for fuzzy AI,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 3, pp. 610–622, May 2019. doi: 10.1109/JAS.2019.1911465

[17] 
C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A NeuroFuzzy Synergism to Intelligent Systems. Upper Saddle River, NJ, USA: Prentice Hall, 1996.

[18] 
W. R. Zhang and L. Zhang, “A multiagent data warehousing (MADWH) and multiagent data mining (MADM) approach to brain modeling and neurofuzzy control,” Inform. Sci., vol. 167, no. 14, pp. 109–127, Dec. 2004. doi: 10.1016/j.ins.2003.05.011

[19] 
S. C. Gao, M. C. Zhou, Y. R. Wang, J. J. Cheng, H. Yachi, and J. H. Wang, “Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction,” IEEE Trans. Neural Netw. Learn. Syst., vol. 30, no. 2, pp. 601–614, Feb. 2019. doi: 10.1109/TNNLS.2018.2846646

[20] 
Y. H. Luo, S. N. Zhao, D. S. Yang, and H. G. Zhang, “A new robust adaptive neural network backstepping control for single machine infinite power system with TCSC,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 48–56, Jan. 2020.

[21] 
P. M. Kebria, A. Khosravi, S. M. Salaken, and S. Nahavandi, “Deep imitation learning for autonomous vehicles based on convolutional neural networks,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 82–95, Jan. 2020. doi: 10.1109/JAS.2019.1911825

[22] 
J. F. Qiao, F. Li, C. L. Yang, W. J. Li, and K. Gu, “A selforganizing RBF neural network based on distance concentration immune algorithm,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 276–291, Jan. 2020. doi: 10.1109/JAS.2019.1911852

[23] 
J. J. Wang and T. Kumbasar, “Parameter optimization of interval Type2 fuzzy neural networks based on PSO and BBBC methods,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 247–257, Jan. 2019. doi: 10.1109/JAS.2019.1911348

[24] 
J. F. Qiao and H. B. Zhou, “Modeling of energy consumption and effluent quality using density peaksbased adaptive fuzzy neural network,” IEEE/CAA J. Autom. Sinica, vol. 5, no. 5, pp. 968–976, Sept. 2018. doi: 10.1109/JAS.2018.7511168

[25] 
W. R. Zhang, “Bipolar fuzzy sets and relations: A computational framework for cognitive modeling and multiagent decision analysis,” in Proc. 1st Int. Joint Conf. North American Fuzzy Information Processing Society Biannual Conf., San Antonio, TX, USA, 1994, pp. 305–309.

[26] 
W. R. Zhang, “YinYang bipolar fuzzy sets,” in Proc. IEEE World Congr. Computational Intelligence, Anchorage, Alaska, 1998, pp. 835–840.

[27] 
W. R. Zhang, “Equilibrium relations and bipolar cognitive mapping for online analytical processing with applications in international relations and strategic decision support,” IEEE Trans. Syst. Man Cybern. Part B:Cybern., vol. 33, no. 2, pp. 295–307, Apr. 2003. doi: 10.1109/TSMCB.2003.810444

[28] 
W. R. Zhang and L. L. Zhang, “YinYang bipolar logic and bipolar fuzzy logic,” Inform. Sciences, vol. 165, no. 3–4, pp. 265–287, Oct. 2004. doi: 10.1016/j.ins.2003.05.010

[29] 
W. R. Zhang, H. J. Zhang, Y. Shi, and S. S. Chen, “Bipolar linear algebra and YinYangNElement cellular networks for equilibriumbased biosystem simulation and regulation,” J. Biol. Syst., vol. 17, no. 4, pp. 547–576, Mar. 2009. doi: 10.1142/S0218339009002958

[30] 
W. R. Zhang, “Equilibrium energy and stability measures for bipolar decision and global regulation,” Int. J. Fuzzy Syst., vol. 5, no. 2, pp. 114–122, 2003.

[31] 
W. R. Zhang, “YinYang bipolar universal modus ponens (BUMP)–A fundamental law of nonlinear brain dynamics for emotional intelligence and mental health,” in Proc. 10th Joint Conf. Information Sciences, Salt Lake City, Utah, US, 2007, 89–95.

[32] 
W. R. Zhang, A. K. Pandurangi, and K. E. Peace, “YinYang dynamic neurobiological modeling and diagnostic analysis of major depressive and bipolar disorders,” IEEE. Trans. Biomed. Eng., vol. 54, no. 10, pp. 1729–39, Oct. 2007. doi: 10.1109/TBME.2007.894832

[33] 
W. R. Zhang, A. K. Pandurangi, K. E. Peace, Y. Q. Zhang, and Z. M. Zhao, “MentalSquares: A generic bipolar support vector machine for psychiatric disorder classification, diagnostic analysis and neurobiological data mining,” Int. J. Data Min. Bioinform., vol. 5, no. 5, pp. 532–557, Oct. 2011. doi: 10.1504/IJDMB.2011.043034

[34] 
W. R. Zhang, “From equilibriumbased business intelligence to information conservational quantumfuzzy cryptography–A cellular transformation of bipolar fuzzy sets to quantum intelligence machinery,” IEEE Trans. Fuzzy Syst., vol. 26, no. 2, pp. 656–669, Apr. 2018. doi: 10.1109/TFUZZ.2017.2687408

[35] 
W. R. Zhang, “Programming the mind and decrypting the universe–A bipolar quantumneurofuzzy associative memory model for quantum cognition and quantum intelligence,” in Proc. Int. Joint Conf. Neural Networks, Anchorage, Alaska, USA, 2017, 1180–1187.

[36] 
W. R. Zhang, “A logical path from neural ensemble formation to cognition with mindlightmatter unification: The eternal Dow can be told,” Int. J. Cogn. Inform. Nat. Intell., vol. 12, no. 4, pp. 20–54, 2018. doi: 10.4018/IJCINI.2018100102

[37] 
W. R. Zhang, “Information conservational security with ‘Black Hole’ keypad compression and scalable onetime pad–An analytical quantum intelligence approach to pre and postquantum cryptography,” Cryptology ePrint archive (ia.cr/2019/913).

[38] 
W. R. Zhang, “Beyond spacetime geometry – The death of philosophy and its quantum reincarnation,” J. Mod. Phys., vol. 9, no. 9A, pp. 1272–1284, Sept. 2012.

[39] 
W. R. Zhang, “YinYang bipolar atom–An eastern road toward quantum gravity,” J. Mod. Phys., vol. 3, no. 9A, pp. 1261–1271, Sept. 2012.

[40] 
W. R. Zhang and F. Marchetti, “A logical exposition of Dirac 3polarizer experiment and its potential impact on computational biology,” in Proc. 6th ACM Conf. Bioinformatics, Computational Biology, and Health Informatics, Atlanta, GA, 2015, 517–518.

[41] 
W. R. Zhang and F. Marchetti, “YinYang bipolar quantum geometry and bipolar quantum superposition Part I–A background independent geometrical and logical exposition of Dirac 3polarizer experiment,” Fract. Geomet. Nonl. Anal. Med. Biol., vol. 1, no. 2, pp. 61–68, Aug. 2015.

[42] 
W. R. Zhang and F. Marchetti, “YinYang bipolar quantum geometry and bipolar quantum superposition Part II–Toward an equilibriumbased analytical paradigm of quantum mechanics and quantum biology,” Fract. Geomet. Nonl. Anal. Med. Biol., vol. 2, no. 1, pp. 69–77, Aug. 2015.

[43] 
W. R. Zhang, “GCPT symmetry of quantum emergence and submergence–An information conservational multiagent cellular automata unification of CPT symmetry and CP violation for equilibriumbased manyworld causal analysis of quantum coherence and decoherence,” J. Quant. Inform. Sci., vol. 6, no. 2, pp. 62–97, May 2016. doi: 10.4236/jqis.2016.62008

[44] 
W. R. Zhang, “Bipolar quantum logic gates and quantum cellular combinatorics–A logical extension to quantum entanglement,” J. Quant. Inform. Sci., vol. 3, no. 2, pp. 93–105, Jun. 2013. doi: 10.4236/jqis.2013.32014

[45] 
W. R. Zhang and K. Peace, “Causality is logically definable–Toward an equilibriumbased computing paradigm of quantum agent and quantum intelligence (QAQI),” J. Quant. Inform. Sci., vol. 4, pp. 227–268, Dec. 2014. doi: 10.4236/jqis.2014.44021

[46] 
W. R. Zhang, “A geometrical and logical unification of mind, light and matter,” in Proc. 15th IEEE Int. Conf. Cognitive Informatics & Cognitive Computing, Palo Alto, CA, USA, 2016, 188–197.

[47] 
R. Arul, G. Raja, A. O. Almagrabi, M. S. Alkatheiri, S. H. Chauhdary, and A. K. Bashir, “A quantumsafe key hierarchy and dynamic security association for LTE/SAE in 5G scenario,” IEEE Trans. Ind. Inform., vol. 16, no. 1, pp. 681–690, Jan. 2020. doi: 10.1109/TII.2019.2949354

[48] 
H. Gao, J. Wu, C. Wei, and G. W. Wei, “MADM method with intervalvalued bipolar uncertain linguistic information for evaluating the computer network security,” IEEE Access, vol. 7, pp. 151506–151524, Oct. 2019. doi: 10.1109/ACCESS.2019.2946381

[49] 
W. R. Zhang, K. E. Peace, and H. J. Han, “YinYang bipolar dynamic organizational modeling for equilibriumbased decision analysis: Logical transformation of an indigenous philosophy to a global science,” Asia Pac. J. Manag., vol. 33, no. 3, pp. 723–766, Sept. 2016. doi: 10.1007/s1049001694801

[50] 
C. Jana, M. Pal, and J. Q. Wang, “Bipolar fuzzy Dombi aggregation operators and its application in multipleattribute decisionmaking process,” J. Ambient Intell. Human. Comput., vol. 10, no. 9, pp. 3533–3549, Sept. 2019. doi: 10.1007/s1265201810769

[51] 
Y. X. Zhang, X. Yin, and Z. F. Mao, “Study on risk assessment of pharmaceutical distribution supply chain with bipolar fuzzy information,” J. Intell. Fuzzy Syst., vol. 37, no. 2, pp. 2009–2017, Sept. 2019. doi: 10.3233/JIFS179263

[52] 
K. T. Atanassov, “Intuitionistic fuzzy sets,” Fuzzy Sets Syst., vol. 20, no. 1, pp. 87–96, Aug. 1986. doi: 10.1016/S01650114(86)800343

[53] 
J. F. Nash Jr., “Equilibrium points in nperson games,” Proc. Natl. Acad. Sci. USA, vol. 36, no. 1, pp. 48–49, Jan. 1950. doi: 10.1073/pnas.36.1.48

[54] 
J. Nash, “Noncooperative games,” Ann. Math., vol. 54, no. 2, pp. 286–295, 1951. doi: 10.2307/1969529

[55] 
S. Hawking and L. Mlodinow, The Grand Design. New York: Random House Digital, Inc., 2010.

[56] 
S. W. Hawking, “Black hole explosions?” Nature, vol. 248, no. 5443, pp. 30–31, Mar. 1974. doi: 10.1038/248030a0

[57] 
A. Einstein, B. Podolsky, and N. Rosen, “Can quantummechanical description of physical reality be considered complete?” Phys. Rev., vol. 47, no. 10, pp. 777–780, May 1935. doi: 10.1103/PhysRev.47.777

[58] 
E. Schrödinger, “Die gegenwärtige Situation in der Quantenmechanik,” Naturwissenschaften, vol. 23, no. 48, pp. 807–812, Nov. 1935. doi: 10.1007/BF01491891

[59] 
P. A. M. Dirac, The Principles of Quantum Mechanics. Oxford: Oxford University Press, 1930.

[60] 
W. Heisenberg, “Über den anschaulichen Inhalt der quantentheoretischen Kinematik und Mechanik,” Z. Physik, vol. 43, no. 3, pp. 172–198, Mar. 1927.

[61] 
W. R. Zhang and K. E. Peace, “Revealing the ubiquitous effects of quantum entanglementToward a notion of god logic,” J. Quant. Inform. Sci., vol. 3, no. 4, pp. 143–153, Dec. 2013. doi: 10.4236/jqis.2013.34019

[62] 
R. P. Feynman, Quantum Electrodynamics. Boston: Addison Wesley, 1962.

[63] 
R. P. Feynman, QED: The Strange Theory of Light and Matter. Princeton: Princeton University Press, 1985.

[64] 
M. GellMann, “A schematic model of baryons and mesons,” Phys. Lett., vol. 8, no. 3, pp. 214–215, Feb. 1964. doi: 10.1016/S00319163(64)920013

[65] 
P. A. M. Dirac, “A theory of electrons and protons,” Proc. Roy. Soc. Lond. A, vol. 126, no. 801, pp. 360–365, Jan. 1930. doi: 10.1098/rspa.1930.0013

[66] 
R. P. Feynman, “Nobel Lecture: The Development of the SpaceTime View of Quantum Electrodynamics,” 1965. [Online]. Available: https://www.nobelprize.org/prizes/physics/1965/feynman/lecture/

[67] 
W. R. Zhang, “Six conjectures in quantum physics and computational neuroscience,” in Proc. 3rd Int. Conf. Quantum, Nano and Micro Technologies, Cancun, Mexico, 2009, pp. 67–72.

[68] 
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Arlington, VA: American Psychiatric Publishing, 2013.

[69] 
World Health Organization, The ICD10 Classification of Mental and Behavioural Disorders. Geneva, Switzerland: World Health Organization, 1992.

[70] 
W. R. Zhang, “YinYang bipolar lattices and Lsets for bipolar knowledge fusion, visualization, and decision,” Int. J. Inform. Technol. Decis. Mak., vol. 4, no. 4, pp. 621–645, Dec. 2005. doi: 10.1142/S0219622005001763

[71] 
W. R. Zhang, “YinYang bipolar fuzzy sets and fuzzy equilibrium relations: For clustering, optimization, and global regulation,” Int. J. Inform. Technol. Decis. Mak., vol. 5, no. 1, pp. 19–46, Mar. 2006. doi: 10.1142/S0219622006001885

[72] 
B. Kosko, “Fuzzy cognitive maps,” Int. J. ManMach. Stud., vol. 24, no. 1, pp. 65–75, Jan. 1986. doi: 10.1016/S00207373(86)800402

[73] 
W. R. Zhang, S. S. Chen, and J. C. Bezdek, “Pool2: A generic system for cognitive map development and decision analysis,” IEEE Trans. Syst. Man Cybern., vol. 19, no. 1, pp. 31–39, Jan.–Feb. 1989. doi: 10.1109/21.24529

[74] 
W. R. Zhang, S. S. Chen, W. Wang, and R. S. King, “A cognitivemapbased approach to the coordination of distributed cooperative agents,” IEEE Trans. Syst. Man Cybern., vol. 22, no. 1, pp. 103–114, Jan.–Feb. 1992. doi: 10.1109/21.141315

[75] 
W. R. Zhang, “NPN fuzzy sets and NPN qualitative algebra: A computational framework for bipolar cognitive modeling and multiagent decision analysis,” IEEE Trans. Syst. Man Cybern. Part B:Cybern., vol. 26, no. 4, pp. 561–575, Aug. 1996. doi: 10.1109/3477.517031

[76] 
W. R. Zhang, “Information conservational YinYang Bipolar quantumfuzzy cognitive maps  mapping business data to business intelligence,” in Proc. IEEE Int. Conf. Fuzzy Systems, Vancouver, BC, Canada, 2016, pp. 2279–2286.

[77] 
E. R. Kandel, J. H. Schwartz, T. M. Jessell, S. A. Siegelbaum, and A. J. Hudspeth, Principles of Neural Science, 5th ed. New York: McGrawHill Medical, 2013.

[78] 
S. Lloyd, Programming the Universe: A Quantum Computer Scientist Takes on the Cosmos. New York: A Division of Random House, Inc., 2007.

[79] 
W. R. Zhang, “On the nature of natural intelligence–A revision of Laozi,” in Proc. IEEE 17th Int. Conf. Cognitive Informatics & Cognitive Computing, Berkeley, CA, USA, 2018, pp. 316–323.

[80] 
M. N. Huhns and M. P. Singh, Readings in Agents. San Francisco, California: Morgan Kaufmann, 1998.

[81] 
W. R. Zhang, “Nesting, safety, layering, and autonomy: A reorganizable multiagent cerebellar architecture for intelligent control with application in Legged locomotion and gymnastics,” IEEE Trans. Syst. Man Cybern. Part B:Cybern., vol. 28, no. 3, pp. 357–375, Jan. 1998.

[82] 
X. Luo, M. C. Zhou, Y. N. Xia, Q. S. Zhu, A. C. Ammari, and A. Alabdulwahab, “Generating highly accurate predictions for missing QoS data via aggregating nonnegative latent factor models,” IEEE Trans. Neural Netw. Learn. Syst., vol. 27, no. 3, pp. 524–537, Mar. 2016.

[83] 
D. Wu, Q. He, X. Luo, M. S. Shang, Y. He, and G. Y. Wang, “A posteriorneighborhoodregularized latent factor model for highly accurate web service QoS prediction,” IEEE Trans. Serv. Comput., 2019. DOI: 10.1109/TSC.2019.2961895

[84] 
L. A. Zadeh, “Is there a need for fuzzy logic?” Inform. Sci., vol. 178, no. 13, pp. 2751–2779, Jul. 2008. doi: 10.1016/j.ins.2008.02.012

[85] 
L. A. Zadeh, “Causality is undefinable–Toward a theory of hierarchical definability,” in Proc. 10th IEEE Int. Conf. Fuzzy Systems, Melbourne, Victoria, Australia, 2001, 67–68

[86] 
D. Hilbert, “Mathematical problems,” Bull. Amer. Math. Soc., vol. 8, pp. 437–479, 1902. doi: 10.1090/S000299041902009233

[87] 
G. W. Leibniz, “Explication de 1’arithmétique binaire,” Memoires de l’Academie Royale, 1703: 85–89, 1703.

[88] 
A. Einstein, Letter to Max Born (1926), published in 1971, Irene Born (translator), The BornEinstein Letters, Walker and Company, New York.
