2. HOW TO MAKE A MACHINE THINK? CONTACT DETAILS

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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