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al., 2018 ). With advances in technology in the recent decades, and the substantial increase in computer power, computational models are now capable of utilizing mathematical models to simulate complex multi-physics phenomena with high resolution. Computational simulations, once calibrated and validated against carefully conducted experiments, can expand the reach of experimental investigations to more realistic conditions and to length and time scales difficult to investigate otherwise. Predictive science and engineering happens more and more using computational

feedback loops, J. Neurosci., 2001, 21, 6644–6656 [45] Ueda H.R., Hagiwara M., Kitano H., Robust oscillations within the interlocked feedback model of Drosophila circadian rhythm, J. Theor. Biol., 2001, 210, 401–406 [46] Ruoff P., Vinsjevik M., Monnerjahn C., Rensing L., The Goodwin oscillator: On the importance of degradation reactions in the circadian clock, J. Biol. Rhythms, 1999, 14, 469–479 [47] Leloup J.-C., Goldbeter A., Toward a detailed computational model for the mammalian

Vito Pirrelli, Claudia Marzi, Marcello Ferro, Franco Alberto Cardillo, Harald R. Baayen and Petar Milin Psycho-computational modelling of the mental lexicon A discriminative learning perspective Abstract: Over the last decades, a growing body of evidence on the mechanisms governing lexical storage, access, acquisition and processing has questioned traditional models of language architecture and word usage based on the hy- pothesis of a direct correspondence between modular components of grammar competence (lexicon vs. rules), processing correlates (memory vs

Bio-Algorithms and Med-Systems 8(4),2012, pp. 387-415 ©Jagiellonian University, Medical College, Kraków, Poland doi: 10.2478/bams-2012-0028 A COMPUTATIONAL MODEL FOR COLOR PERCEPTION MARC EBNER Ernst Moritz Arndt Universität Greifswald Institut für Mathematik und Informatik Walther-Rathenau-Straße 47, 17487 Greifswald, Germany ABSTRACT Color is not a physical quantity of an object. It cannot be measured. We can only measure reflectance, i.e. the amount of light reflected for each wavelength

Towards Communication in CAAD. Spectral Characterisation and Modelling with Conjugate Symbolic Domains

December 5, 2006 Time: 11:25am chapter05.tex P A R T III Computational Modeling In the next two chapters we discuss the use of computational models as a theoretical tool, in particular in the modeling of social systems. Over the past decade or so, what was once considered the fringe has become the frontier, and computational models have become much more widely accepted among social scientists. Nonetheless, we feel that it is still useful to outline some of the foundations of this approach, as accessible discussions are hard to find in the literature. 55 December

Annely Rothkegel Computational Modelling of Dialogue 1. Questions 2. Linguistic action as change of context 3. Intentional structure of discourse 4. Patterned interaction 5. Dialogue actions and discourse connectors 6. Summary References 1. Questions Questions about the computational modelling of dialogue mainly play a role in the area of man-machine-interaction. Software is applied for conveying information from data- bases, sometimes in connection with so-called expert systems as they are developed in Artificial Intelligence. In addition and on the