HOW TO MAKE A MACHINE THINK? CONTACT DETAILS PITCH OVERVIEW – NOT AN ACTUAL SLIDE • 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. CHALLENGE • How, if at all, is it possible to implement human-like thinking into a computer? • New kind of artificial intelligence could help explaining consciousness THE TEAM • 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 BACKGROUND TO THE APPROACH • 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. SOLUTION • 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 THE IMPACT • 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! CALL TO ACTION • 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.