Computational Models of Mind

Date

2010

Author

Say, Bilge

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

392
views

0
downloads

An introduction to computational modeling in cognitive science, including computer simulation models of complex cognition, models within artificial intelligence, models based on neural mechanisms and networks, and formal and mathematical models in areas such as psychology, linguistics, and philosophy. Mathematical and computational modeling of the evolution of cognition. Models of cognition that extend beyond the boundaries of the person to include the environment, artifacts, social interactions, and culture.

URI

https://ocw.metu.edu.tr/course/view.php?id=97
https://hdl.handle.net/11511/36950

Collections

Graduate School of Informatics, Course Material

Suggestions

OpenMETU
Core

Mutual relevance of investor sentiment and finance by modeling coupled stochastic systems with MARS Kalayci, Betul; Ozmen, Ayse; Weber, Gerhard Wilhelm (Springer Science and Business Media LLC, 2020-08-01) Stochastic differential equations (SDEs) rapidly become one of the most well-known formats in which to express such diverse mathematical models under uncertainty such as financial models, neural systems, behavioral and neural responses, human reactions and behaviors. They belong to the main methods to describe randomness of a dynamical model today. In a financial system, different kinds of SDEs have been elaborated to model various financial assets. On the other hand, economists have conducted research on s...
Mathematical problems of black-box computational technologies for continuum mechanics Martynenko, Sergey; Zhou, Weixing; Gökalp, İskender; Toktaliev, Pavel; Tarasov, Georgy; Rumiantsev, Egor (2023-02-16) This paper discusses possible ways of computational technology development for segregated/coupled solving the systems of nonlinear partial differential equations in black-box software. These systems describe physical and chemical processes in the continuum mechanics approximation (multiphysics). The following requirements for the black-box numerical methods are formulated: - robustness (the least number of problem-dependent components); - efficiency (close-to-optimal algorithmic complexity); - parallelism (...
Computational modeling of cardiac dysfunctions Berberoğlu Yılmaz, Ezgi; Göktepe, Serdar; Department of Civil Engineering (2014) Computational modeling of the cardiovascular system has improved remarkably with the advances in the computer technology and mathematical modeling. The cardiac models can play a crucial role in understanding the major electromechanical, biophysical, and biochemical processes for the both healthy and pathological cases. The capability of heart models to capture the real physiological behavior depends on physiologically sound constitutive models accounting for the intrinsically non-linear, electromechanically...
Neural networks with piecewise constant argument and impact activation Yılmaz, Enes; Akhmet, Marat; Department of Scientific Computing (2011) This dissertation addresses the new models in mathematical neuroscience: artificial neural networks, which have many similarities with the structure of human brain and the functions of cells by electronic circuits. The networks have been investigated due to their extensive applications in classification of patterns, associative memories, image processing, artificial intelligence, signal processing and optimization problems. These applications depend crucially on the dynamical behaviors of the networks. In t...
Unified And Hybrid Approaches To Identification, Optimization And Control Of Stochastic Financial Processess-Theory, Methods And Applications. Weber, Gerhard Wilhelm(2012-12-31) This research project aims at a new unified view onto both identification and optimal control of Stochastic Differential Equations (SDEs) for purposes of financial mathematics and actuarial sciences. More specific cases such as Stochastic Hybrid Systems are also considered in this framework. A special interests consists in (i) refinement of Parameter Estimation for SDEs and (ii) Portfolio Optimization. Here, the words “unified” or “joint” mean an integrated and simultaneous treatment of (i) and (ii) in the...

Citation Formats

B. Say, “Computational Models of Mind,” 00, 2010, Accessed: 00, 2020. [Online]. Available: https://ocw.metu.edu.tr/course/view.php?id=97.