Abstract
The aim of this paper is to introduce the design of a novel Distributed Non-Axiomatic Reasoning System. The system is based on Non-Axiomatic Logic, a formalism in the domain of artificial general intelligence designed for realizations of systems with insufficient resources and knowledge. Proposed architecture is based on layered and distributed structure of the backend knowledge base. The design of the knowledge base makes it fault-tolerant and scalable. It promises to allow the system to reason over large knowledge bases with real-time responsiveness.
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References
Dean, J., Ghemawat, S.: Mapreduce: simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)
Hammer, P., Lofthouse, T., Wang, P.: The OpenNARS implementation of the non-axiomatic reasoning system. In: Steunebrink, B., Wang, P., Goertzel, B. (eds.) AGI 2016. LNCS, vol. 9782, pp. 160–170. Springer, Cham (2016). doi:10.1007/978-3-319-41649-6_16
Hovy, E., Navigli, R., Ponzetto, S.P.: Collaboratively built semi-structured content and artificial intelligence: the story so far. Artif. Intell. 194, 2–27 (2013)
Lee, T., Lee, H., Rhee, K.H., Shin, U.S.: The efficient implementation of distributed indexing with hadoop for digital investigations on big data. Comput. Sci. Inf. Syst. 11(3), 1037–1054 (2014)
Michael, M., Moreira, J.E., Shiloach, D., Wisniewski, R.W.: Scale-up x scale-out: a case study using nutch/lucene. In: IEEE International Parallel and Distributed Processing Symposium, IPDPS 2007, pp. 1–8. IEEE (2007)
Mitrović, D.: Intelligent Multiagent Systems based on Distributed Non-Axiomatic Reasoning. Ph.D. thesis, University of Novi Sad, Faculty of Science (2015)
Mitrović, D., Ivanović, M., Bădică, C.: Delivering the multiagent technology to end-users through the web. In: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS 2014), p. 54. ACM (2014)
Mitrović, D., Ivanović, M., Budimac, Z., Vidaković, M.: Supporting heterogeneous agent mobility with alas. Comput. Sci. Inf. Syst. 9(3), 1203–1229 (2012)
Mitrović, D., Ivanović, M., Budimac, Z., Vidaković, M.: Radigost: Interoperable web-based multi-agent platform. J. Syst. Softw. 90, 167–178 (2014)
Rao, A.S., Georgeff, M.P., et al.: BDI agents: from theory to practice. In: ICMAS 1995, pp. 312–319 (1995)
Robinson, I., Webber, J., Eifrem, E.: Graph Databases: New Opportunities for Connected Data. O’Reilly Media Inc., Sebastopol (2015)
Rodriguez, M.A., Geldart, J.: An evidential path logic for multi-relational networks. In: AAAI Spring Symposium: Technosocial Predictive Analytics, pp. 114–119 (2009)
Vidaković, M., Ivanović, M., Mitrović, D., Budimac, Z.: Extensible Java EE-based agent framework – past, present, future. In: Ganzha, M., Jain, L. (eds.) Multiagent Systems and Applications. ISRL, vol. 45, pp. 55–88. Springer, Heidelberg (2013). doi:10.1007/978-3-642-33323-1_3
Wang, P.: Rigid Flexibility, vol. 55. Springer, Dordrecht (2006)
Wang, P.: Analogy in a general-purpose reasoning system. Cogn. Syst. Res. 10(3), 286–296 (2009)
Wang, P.: Non-Axiomatic Logic: A Model of Intelligent Reasoning. World Scientific, Singapore (2013)
Acknowledgments
This work was partially supported by Ministry of Education, Science and Technological Development of the Republic of Serbia, through project number OI174023: “Intelligent techniques and their integration into wide-spectrum decision support”, as well as a collaboration agreement between University of Novi Sad (Serbia), University of Craiova (Romania), SRIPAS and Warsaw University of Technology (Poland).
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Ivanović, M., Ivković, J., Bădică, C. (2017). Role of Non-Axiomatic Logic in a Distributed Reasoning Environment. 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_37
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