AGI-16 Kristinn R. Thórisson - About Understanding
AGI-16 Kristinn R. Thórisson - Why AI Needs a Task Theory — And What It Might Look Like
AGI-16 Kristinn R. Thórisson - Task Theory and a Task Performance Evaluation Toolkit
Ep. 14: Kristinn R Thórisson on building an artificial general intelligence
Kristinn R Thórisson - Seed-programmed self-improving machine learning
Spatio Semantic Knowledge for Houshold Robots - Kristinn R. Thórisson
Kristinn R Thórisson - The Road to 'Artificial' Understanding
A New Kind of AI - Kristinn R. Thórisson
Kristinn R Thórisson - How to Define & Measure Understanding - AGI17
AGI-16 Sean Markan - System Induction Games and Cognitive Modeling as an AGI Methodology
VISCA 2021 Practical Seed Programmed Autonomous General Cumulative Learning Kristinn R Thorisson
AGI-15 Kristinn R. Thórisson - Towards Flexible Task Environments for Comprehensive Evaluation of AI
AGI-16 Panel Discussion for Session 1: Theoretical Issues
AGI-16 Bas R. Steunebrink - Growing Recursive Self-Improvers
AGI-16 Panel Discussion for Session 2: Learning & Reasoning
From Constructionist to Constructivist A.I.: Architecture Matters - Kristinn R. Thórisson
AGI-14 Kristinn Thórisson - What Should AGI Learn from AI & CogSci?
The 'Explanation Hypothesis' in Autonomous General Learning - presentation by Kristinn R. Thórisson
Engines of Innovation: Results of a 7-Year Experiment Called Vitvélastofnun Íslands ses (IIIM)
AGI-21 Conference Day 1 - Room 2 - NARS Tutorial and Workshop
AGI-16 David "Weaver" Weinbaum - Open Ended Intelligence
AGI-14 Panel Discussion of the Special Session on AGI and Cognitive Science
AGI-16 Panel Discussion for Workshop on whether Deep Neural Networks can solve the problems of AGI
Helgi Helgason - On Attention Mechanisms for AGI Architectures
AGI-14 Jordi Bieger - Raising AI: Tutoring Matters
