A Survey of Brain Inspired Technologies for Engineering

October 31, 2016 Β· The Cartographer Β· πŸ› 2016 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech)

πŸ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper β€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey of Brain Inspired Technologies for Engineering"

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Authors Jarryd Son, Amit Kumar Mishra arXiv ID 1610.09882 Category cs.AI: Artificial Intelligence Cross-listed cs.NE Citations 5 Venue 2016 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech) Last Checked 3 days ago
Abstract
Cognitive engineering is a multi-disciplinary field and hence it is difficult to find a review article consolidating the leading developments in the field. The in-credible pace at which technology is advancing pushes the boundaries of what is achievable in cognitive engineering. There are also differing approaches to cognitive engineering brought about from the multi-disciplinary nature of the field and the vastness of possible applications. Thus research communities require more frequent reviews to keep up to date with the latest trends. In this paper we shall dis-cuss some of the approaches to cognitive engineering holistically to clarify the reasoning behind the different approaches and to highlight their strengths and weaknesses. We shall then show how developments from seemingly disjointed views could be integrated to achieve the same goal of creating cognitive machines. By reviewing the major contributions in the different fields and showing the potential for a combined approach, this work intends to assist the research community in devising more unified methods and techniques for developing cognitive machines.
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