Modeling the Mind: A brief review
–arXiv.org Artificial Intelligence
Creating an accurate simulation of the mind is no easy task, and while it took brilliant minds decades to advance us to where we're at right now, we are still ways off our final goal. It is therefore imperative to have more research carried out in this multidisciplinary field, taking in help from researchers in biology, neuroscience, computer science, but also mathematics, physics, chemistry and imaging, in order to speed up this process and tip the scales in our favor for the upcoming decades. This annual review hopes to provide the required information for anyone who is considering this domain as his future endeavor. The reviews will be tackling relatively global characteristics at first in order to familiarize the reader with the basic foundations, and will be getting progressively more specific and in tune with current research in the upcoming parts.
arXiv.org Artificial Intelligence
May-13-2016
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- North America > United States
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- Genre:
- Research Report (1.00)
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- Health & Medicine > Therapeutic Area > Neurology (1.00)
- Technology:
- Information Technology
- Data Science (0.93)
- Artificial Intelligence
- Representation & Reasoning (1.00)
- Cognitive Science > Neuroscience (0.68)
- Natural Language > Text Processing (0.67)
- Machine Learning
- Neural Networks > Deep Learning (1.00)
- Learning Graphical Models (0.68)
- Statistical Learning (0.67)
- Pattern Recognition (0.67)
- Information Technology