AGI-14 Kristinn Thórisson - What Should AGI Learn from AI & CogSci?
Ep. 14: Kristinn R Thórisson on building an artificial general intelligence
Kristinn R Thórisson - Seed-programmed self-improving machine learning
Kristinn R Thórisson - The Road to 'Artificial' Understanding
Spatio Semantic Knowledge for Houshold Robots - Kristinn R. Thórisson
AGI-14 Jordi Bieger - Raising AI: Tutoring Matters
AGI-14 Steve Lytinen - Affective Agent Architecture: A Preliminary Research Report
Kristinn R Thórisson - How to Define & Measure Understanding - AGI17
AGI-16 Kristinn R. Thórisson - About Understanding
AGI-14 Panel Discussion of the Special Session on AGI and Cognitive Science
AGI-14 Panel Discussion 1
AGI-13 Kristinn Thórisson - Reductio ad Absurdum
AGI-14 Ladislau Bölöni - Autobiography Based Prediction in a Situated AGI Agent
AGI-16 Kristinn R. Thórisson - Why AI Needs a Task Theory — And What It Might Look Like
AGI-15 Kristinn R. Thórisson - Towards Flexible Task Environments for Comprehensive Evaluation of AI
AGI-14 Glenn Gunzelmann - The Role of Cognitive Science in Artificial General Intelligence
Engines of Innovation: Results of a 7-Year Experiment Called Vitvélastofnun Íslands ses (IIIM)
AGI-14 Selmer Bringsjord - Toward a Formalization of QA Problem Classes
AGI-14 Keynote by Richard Granger on Brain Engineering
AGI-14 Seng-Beng Ho - On Effective Causal Learning
