Fuzzy Logic as Agents’ Knowledge Representation in A-Trader System-Reference-Cited by-同舟云学术

Fuzzy Logic as Agents’ Knowledge Representation in A-Trader System

Published:2016 Issue: Volume: Page:109-124
ISSN:1865-1348
Container-title:Information Technology for Management
language:
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Author:

Korczak Jerzy,Hernes Marcin,Bac Maciej

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-30528-8_7

Reference53 articles.

1. Aloud, M., Tsang, E.P.K., Olsen, R.: Modelling the FX market traders’ behaviour: an agent-based approach. In: Alexandrova-Kabadjova, B., Martinez-Jaramillo, S., Garcia-Almanza, A.L., Tsang, E. (eds.) Simulation in Computational Finance and Economics: Tools and Emerging Applications, pp. 202–228. IGI Global, Hershey (2012)

2. Arabacioglu, B.C.: Using fuzzy inference system for architectural space analysis. Appl. Soft Comput. 10(3), 926–937 (2010)

3. Studies in Computational Intelligence;RP Barbosa,2010

4. Badawy, O., Almotwaly, A.: Combining neural network knowledge in a mobile collaborating multi-agent system. In: Electrical, Electronic and Computer Engineering, ICEEC 2004, pp. 325–328 (2004)

5. Dempster, M., Jones, C.: A real time adaptive trading system using genetic programming. Quant. Finance 1, 397–413 (2001)

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