Cover image for Discoveries and breakthroughs in cognitive informatics and natural intelligence
Discoveries and breakthroughs in cognitive informatics and natural intelligence
Title:
Discoveries and breakthroughs in cognitive informatics and natural intelligence
Author:
Wang, Yingxu.
ISBN:
9781605669038
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2010.
Physical Description:
electronic texts (xxviii, 577 p. : ill.) : digital files.
Contents:
1. A computational cognitive model of the brain / Zhiwei Shi, Hong Hu, Zhongzhi Shi -- 2. A cognitive approach to the mechanism of intelligence / Yi Zhong -- 3. Reducing cognitive overload by meta-learning assisted algorithm selection / Lisa Fan, Minxiao Lei -- 4. Analyzing learning methods in a functional environment / Alberto de la Encina, Mercedes Hidalgo-Herrero, Pablo Rabanal, Ismael Rodríguez, Fernando Rubio -- 5. Humans and machines / Hélène Hagège, Christopher Dartnell, Éric Martin, Jean Sallantin -- 6. On cognitive properties of human factors and error models in engineering and socialization / Yingxu Wang -- 7. User-centered interactive data mining / Yan Zhao, Yiyu Yao -- 8. On concept algebra / Yingxu Wang -- 9. On system algebra / Yingxu Wang -- 10. RTPA / Yingxu Wang -- 11. A denotational semantics of real-time process algebra (RTPA) / Yingxu Wang, Xinming Tan -- 12. An operational semantics of real-time process algebra (RTPA) / Yingxu Wang, Cyprian Ngolah -- 13. Formal modeling and specification of design patterns using RTPA / Yingxu Wang, Jian Huang -- 14. Deductive semantics of RTPA / Yingxu Wang -- 15. On the Big-R notation for describing iterative and recursive behaviors / Yingxu Wang -- 16. Formal RTPA models for a set of meta-cognitive processes of the brain / Yingxu Wang -- 17. Unifying rough set analysis and formal concept analysis based on a logic approach to granular computing / Bing Zhou, Yiyu Yao --

18. On foundations and applications of the paradigm of granular rough computing / Lech Polkowski, Maria Semeniuk-Polkowska -- 19. Robust independent component analysis for cognitive informatics / N. Gadhok, W. Kinsner -- 20. A relative fractal dimension spectrum for a perceptual complexity measure / W. Kinsner, R. Dansereau -- 21. 3D object classification based on volumetric parts / Weiwei Xing, Weibin Liu, Baozong Yuan -- 22. Modeling underwater structures / Michael Jenkin, Andrew Hogue, Andrew German, Sunbir Gill, Anna Topol, Stephanie Wilson -- 23. A novel plausible model for visual perception / Zhiwei Shi, Zhongzhi Shi, Hong Hu -- 24. An efficient and automatic iris recognition system using ICM neural network / Guangzhu Xu, Yide Ma, Zaifeng Zhang -- 25. Neural networks for language independent emotion recognition in speech / Yongjin Wang, Muhammad Bhatti, Ling Guan -- 26. An analysis of internal representations for two artificial neural networks that classify musical chords / Vanessa Yaremchuk -- 27. Foundation and classification of nonconventional neural units and paradigm of nonsynaptic neural interaction / I. Bukovsky, J. Bila, M. Gupta, Z. Hou, N. Homma -- 28. Scaling behavior of maximal repeat distributions in genomic sequences / J. Wang, Ka-Lok Ng.
Abstract:
This book provides emerging research topics in cognitive informatics research with a focus on such topics as reducing cognitive overload, real-time process algebra, and neural networks for iris recognition, emotion recognition in speech, and the classification of musical chords.
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