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Agent Having Quantum Properties: The Superposition States and the Entanglement

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

In agent-based simulation and modelling of intelligent complex systems, the problem of decision making by agents having incomplete, uncertain, local or global, exchanged or observed information is very common. Recent studies on quantum cognition introduce in the decision process modelling and analysis, quantum properties such as superposition state, non-locality, oscillation, interference or entanglement. This paper proposes a model of quantum-like agents able to implement quantum properties of superposition state and local or non-local entanglement. A case study based on an adaptation of the Takuzu game illustrates our proposed approach of quantum agents modelling. A discussion on the interest of decomposing or not components of a system in the intelligent complex systems modelling is also proposed.

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References

  1. Liu, J., Zhang, S.W.: Characterizing web usage regularities with information foraging agents. IEEE Trans. Knowl. Data Eng. 40, 7478–7491 (2004)

    Google Scholar 

  2. Kazemifard, M., Ghasem-Aghaee, N., Koenig, B.L., Ören, T.I.: An emotion understanding framework for intelligent agents based on episodic and semantic memories. Auton. Agent. Multi-Agent Syst. 28(1), 126–153 (2014)

    Article  Google Scholar 

  3. Scheepers, C., Engelbrecht, A.P.: Training multi-agent teams from zero knowledge with the competitive coevolutionary team-based particle swarm optimizer. Soft. Comput. 20(2), 607–620 (2016)

    Article  Google Scholar 

  4. Khrennikov, A.Y.: Ubiquitous Quantum Structure: From Psychology to Finance. Springer, Berlin (2010)

    Book  Google Scholar 

  5. Wang, Z., Busemeyer, J.R., Atmanspacher, H., Pothos, E.M.: The potential of using quantum theory to build models of cognition. Top. Cogn. Sci. 5(4), 672–688 (2013)

    Google Scholar 

  6. Fuss, L., Navarro, D.: Open, parallel, cooperative and competitive decision processes: a potential provenance for quantum probability decision models. Top. Cogn. Sci. 5(4), 818–843 (2013)

    Google Scholar 

  7. Fougères, A.-J.: Towards quantum agents: the superposition state property. Int. J. Comput. Sci. Issues 13(5), 20–27 (2016)

    Article  Google Scholar 

  8. Aerts, D.: Quantum structure in cognition. J. Math. Psychol. 53, 314–348 (2009)

    Article  MathSciNet  Google Scholar 

  9. Bruza, P.D., Busemeyer, J., Gabora, L.: Introduction to the special issue on quantum cognition. J. Math. Psychol. 53, 303–305 (2009)

    Article  MathSciNet  Google Scholar 

  10. Busemeyer, J.R., Bruza, P.D.: Quantum Models of Cognition and Decision. Cambridge University Press, Cambridge (2012)

    Book  Google Scholar 

  11. Aerts, D., Sozzo, S., Gabora, L., Veloz, T.: Quantum structure in cognition: fundamentals and applications. In: Proceedings of the Fifth International Conference on Quantum, Nano and Micro Technologies (ICQNM 2011), Nice, France, 21–27 August 2011

    Google Scholar 

  12. Wang, Z., Solloway, T., Shiffrin, R.M., Busemeyer, J.R.: Context effects produced by question orders reveal quantum nature of human judgments. PNAS 111(26), 9431–9436 (2014)

    Article  Google Scholar 

  13. Bohm, D., Hiley, B.J.: Non-locality and locality in the stochastic interpretation of quantum mechanics. Phys. Rep. 172(3), 93–122 (1989)

    Article  MathSciNet  Google Scholar 

  14. Einstein, A., Podolsky, B., Rosen, N.: Can quantum mechanical description of reality be considered complete? Phys. Rev. 47, 777–780 (1935)

    Article  Google Scholar 

  15. Vértesi, T., Brunner, N.: Quantum nonlocality does not imply entanglement distillability. Phys. Rev. Lett. 108(3), 030403 (2012)

    Article  Google Scholar 

  16. Horodecki, R., Horodecki, P., Horodecki, M., Horodecki, K.: Quantum entanglement. Rev. Mod. Phys. 81(2), 865 (2009)

    Article  MathSciNet  Google Scholar 

  17. Weiss, G.: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge (1999)

    Google Scholar 

  18. Fougères, A.-J.: Modelling and simulation of complex systems: an approach based on multi-level agents. Int. J. Comput. Sci. Issues 8(6), 8–17 (2011)

    Google Scholar 

  19. Odell, J.: Agent technology what is it and why do we care? Enterp. Archit. 10(3), 1–25 (2007). Executive report, Cutter Consortium, Arlington, MA

    Google Scholar 

  20. Wooldridge, M.: Agent-based software engineering. IEE Proc. Softw. Eng. 144(1), 26–37 (1997)

    Article  Google Scholar 

  21. Jennings, N.R.: On agent-based software engineering. Artif. Intell. 117, 277–296 (2000)

    Article  Google Scholar 

  22. Biswas, P.K.: Towards an agent-oriented approach to conceptualization. Appl. Soft Comput. 8(1), 127–139 (2008)

    Article  Google Scholar 

  23. Fougères, A.-J.: A modelling approach based on fuzzy agents. Int. J. Comput. Sci. Issues 9(6), 19–28 (2013)

    Google Scholar 

  24. Jennings, N.R., Sycara, K., Wooldridge, M.: A roadmap of agent research and development. Auton. Agents Multi-Agent Syst. 1(1), 7–38 (1998)

    Article  Google Scholar 

  25. Macal, C.M., North, M.J.: Tutorial on agent-based modelling and simulation. J. Simul. 4, 151–162 (2010)

    Article  Google Scholar 

  26. Nielsen, M.A., Chuang, I.: Quantum Computation and Quantum Information. Cambridge University Press, Cambridge (2000)

    MATH  Google Scholar 

  27. Zhang, W.R.: G-CPT symmetry of quantum emergence and submergence—an information conservational multiagent cellular automata unification of CPT symmetry and CP violation for equilibrium-based many-world causal analysis of quantum coherence and decoherence. J. Quantum Inf. Sci. 6, 62–97 (2016)

    Article  Google Scholar 

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Correspondence to Alain-Jérôme Fougères .

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Fougères, AJ. (2017). Agent Having Quantum Properties: The Superposition States and the Entanglement. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_38

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

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