A brain-inspired cognitive system that mimics the dynamics of human thought
Conference paper
Ji, Y., Gamez, D. and Huyck, C. 2018. A brain-inspired cognitive system that mimics the dynamics of human thought. AI-2018 Thirty-eighth SGAI International Conference on Artificial Intelligence. Cambridge, UK 11 - 13 Dec 2018 Springer. pp. 50-62 https://doi.org/10.1007/978-3-030-04191-5_4
Type | Conference paper |
---|---|
Title | A brain-inspired cognitive system that mimics the dynamics of human thought |
Authors | Ji, Y., Gamez, D. and Huyck, C. |
Abstract | In recent years, some impressive AI systems have been built that can play games and answer questions about large quantities of data. However, we are still a very long way from AI systems that can think and learn in a human-like way. We have a great deal of information about how the brain works and can simulate networks of hundreds of millions of neurons. So it seems likely that we could use our neuroscientific knowledge to build brain-inspired artificial intelligence that acts like humans on similar timescales. This paper describes an AI system that we have built using a brain-inspired network of artificial spiking neurons. On a word recognition and colour naming task our system behaves like human subjects on a similar timescale. In the longer term, this type of AI technology could lead to more flexible general purpose artificial intelligence and to more natural human-computer interaction. |
Research Group | Artificial Intelligence group |
Conference | AI-2018 Thirty-eighth SGAI International Conference on Artificial Intelligence |
Page range | 50-62 |
ISSN | 0302-9743 |
ISBN | |
Hardcover | 9783030041908 |
Publisher | Springer |
Publication dates | |
Online | 16 Nov 2018 |
13 Dec 2018 | |
Publication process dates | |
Deposited | 18 Sep 2018 |
Accepted | 01 Sep 2018 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | The final authenticated version is available online at https://doi.org/10.1007/978-3-030-04191-5_4 |
Additional information | Paper published as: |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-04191-5_4 |
Language | English |
Book title | Artificial Intelligence XXXV: 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings |
https://repository.mdx.ac.uk/item/87xq7
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