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.

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 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

• 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

• 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

• 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

• 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

• 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

• 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