My name is Jordi Bieger and I'm currently working as a researcher / scientific programmer at Delft University of Technology (TU Delft) with Dr. M. V. (Virginia) Dignum while wrapping up my PhD at Reykjavik University under the guidance of Dr. Kristinn R. Thórisson. At TU Delft I'm mainly working on the Massive Open Online Deliberation (MOOD) Platform that is meant to enhance critical thinking and reflection among discussion participants by providing a formalized and guided process of moral deliberation.
The overarching research topic of my PhD is Artificial Pedagogy: the study of teaching / training / raising / educating AI systems, with a particular eye towards Artificial General Intelligence. I want to develop a theory for how different teaching techniques such as demonstration, heuristic rewarding, simplification and decomposition can help AI systems learn. How can we shape the environment and present training data? How can we interactively determine learning progress and remedy deficiencies? To answer these questions we need a Task Theory for modeling tasks, and AI Evaluation for (interactively) determining the (hopefully growing) capabilities of learning systems. Related research interests include: Transfer Learning, Lifelong Learning, Multitask Learning, Multiagent Learning, Semi-supervised Learning, Active Learning, Computational Learning Theory, and Reinforcement Learning.
|Name:||Jordi Erwan Bieger|
|Date of birth:||December 9, 1985|
|Place of birth:||Voorburg, The Netherlands|
|City:||Delft, The Netherlands|
|Phone:||+31 617 556 266|