AGI-13 Kristinn Thórisson - Reductio ad Absurdum
Dr. Kristinn R. Thórisson discusses the Humanobs project
Kristinn R Thórisson - The Road to 'Artificial' Understanding
Kristinn R Thórisson - Seed-programmed self-improving machine learning
AGI-14 Kristinn Thórisson - What Should AGI Learn from AI & CogSci?
AGI-16 Kristinn R. Thórisson - About Understanding
Seed Programmed Autonomous General Learning - Kristinn R. Thorisson
A New Kind of AI - Kristinn R. Thórisson
Kristinn R Thórisson - How to Define & Measure Understanding - AGI17
AGI-13 John Licato - On Deep Computational Formalization of Natural Language
AGI-13 Eric Nivel - Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious
AGI-13 Conference opening
AGI-16 Kristinn R. Thórisson - Why AI Needs a Task Theory — And What It Might Look Like
Spatio Semantic Knowledge for Houshold Robots - Kristinn R. Thórisson
AGI-13 Pei Wang - Formal Models in AGI Research
AGI-13 Summer School - AERA 1
Engines of Innovation: Results of a 7-Year Experiment Called Vitvélastofnun Íslands ses (IIIM)
AGI-13 Pei Wang - Issues in Applying Probability Theory to AGI
AGI-13 Pei Wang - Natural Language Processing by Reasoning and Learning
AGI-13 Conference closing and award ceremony
