how to make a machine think? contact details our team constists of 7 undergraduate students...
TRANSCRIPT
![Page 1: HOW TO MAKE A MACHINE THINK? CONTACT DETAILS Our team constists of 7 undergraduate students fascinated by consciousness and AI. We are aiming to simulate](https://reader036.vdocuments.net/reader036/viewer/2022081520/56649ce15503460f949ab672/html5/thumbnails/1.jpg)
![Page 2: HOW TO MAKE A MACHINE THINK? CONTACT DETAILS Our team constists of 7 undergraduate students fascinated by consciousness and AI. We are aiming to simulate](https://reader036.vdocuments.net/reader036/viewer/2022081520/56649ce15503460f949ab672/html5/thumbnails/2.jpg)
HOW TO MAKE A MACHINE
THINK?CONTACT DETAILS
![Page 3: HOW TO MAKE A MACHINE THINK? CONTACT DETAILS Our team constists of 7 undergraduate students fascinated by consciousness and AI. We are aiming to simulate](https://reader036.vdocuments.net/reader036/viewer/2022081520/56649ce15503460f949ab672/html5/thumbnails/3.jpg)
• Our team constists of 7 undergraduate students fascinated by consciousness and AI.
• We are aiming to simulate human-like thinking on a computer.• This new AI is based on a semantic memory system of our own design.• Contrary to we are doing, current AI applications concentrate only on
modelling a single narrow subfield of human cognition at a time.
PITCH OVERVIEW – NOT AN ACTUAL SLIDE
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• How, if at all, is it possible to implement human-like thinking into a computer?
• New kind of artificial intelligence could help explaining consciousness
CHALLENGE
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• 7 undergraduate students fascinated by consciousness and AI• Team strengths:
+ impressive amount of new ideas+ knowledge in various fields of study+ self-reflection, problem solving and creativity to solve the impossible+ programming and math skills+ desire to aim high
THE TEAM
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• The traditional artificial intelligence viewpoint:
Cognition/The brain consists of independently working separate modules.
• Despite decades of research no human-like AI system has been demonstrated.
• We believe such a system can be build by using a different approach.
BACKGROUND TO THE APPROACH
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• Our approach:
Human-like thinking requires semantic, tightly interconnected cognitive mechanisms.
• What is innovative in our model of human cognition is that includes semantic memory semantic problem solver language module conscious reasoning
• The model is also mechanical: no unexplainable steps totally programmable
SOLUTION
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• If we succeed, we will have
An artificial intelligence that can adapt to its surroundings solve problems creatively process meanings in the same way as humans do
• An unprecedented number of applications become feasible• Maybe even a human-like robot in the far future!
THE IMPACT
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• We wish opportunities to discuss and refine details of our model with academic experts on various fields.
• Also visibility and contacts with companies interested in our work would be most welcome.
CALL TO ACTION