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Causal Mathematical Logic as a guiding framework for the prediction of “Intelligence Signals” in brain simulations

, M.K. 2009. Chemically based mathematical model for development of cerebral cortical folding patterns. PLoS Comput Biol. 5(9):e1000524. Thompson, P.M.; Hayashi, K.M.; and et al. 2003. Dynamics of gray matter loss in Alzheimer's disease. J Neurosci. 23, 994-1005 Tiesinga, P.H.; and José, J,V. 2000. Robust gamma oscillations in networks of inhibitory hippocampal interneurons. Network. 11, 1-23 Tononi, G.; and Sporns O. 2003. Measuring information integration. BMC Neurosci. 2;4:31. Tononi, G. 2008

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Place Classification using Dempster-Shafer Theory

fields: Extracting the topological structure of indoor environments via place labeling. In In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI , 2007. [9] Harasymowicz-Boggio B., Chechlinski L., and Siemiatkowska B. Nature-inspired, parallel object recognition. In Szewczyk R., Zieliski C., and Kaliczyska M., editors, Progress in Automation, Robotics and Measuring Techniques. Control and Automation. Advances in Intelligent Systems and Computing vol. 350 , pages 53–62. Springer, 2015. [10] Harasymowicz-Boggio B., Chechlinski L

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Modreg: A Modular Framework for RGB-D Image Acquisition and 3D Object Model Registration

K., and Wietrzykowski J. Lightweight RGB-D SLAM System for Search and Rescue Robots. In Progress in Automation, Robotics and Measuring Techniques , pages 11–21. Springer, 2015. [4] Besl P. and McKay N. A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence , 14(2):239 –256, 1992. [5] Bradski G. and Kaehler A. Learning OpenCV: Computer vision with the OpenCV library . O’Reilly Media, 2008. [6] Correll N., Bekris K. E., Berenson D., Brock O., Causo A., Hauser K., Okada K., Rodriguez A., Romano J

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On Equilibrium of an Adaptive Single Component Market

On Equilibrium of an Adaptive Single Component Market

A mathematical model of an adaptive Samuel-Marshall type single component market described by quasi-linear functional differential equations with dependent on phase coordinates and frequently switched an ergodic Markov process is presented. The proposed method is based on an averaging procedure with respect to time along the critical solutions of the generative average linear equation and with respect to the invariant measure of the Markov process. It is proved that exponential stability of the resulting deterministic equation is sufficient for exponential p stability of the initial random system for all positive numbers P and for sufficiently fast switching.

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