Professor Kristinn R. ThórissonKristinn R. Thórisson, Ph.D. is Founding Director of IIIM, the second A.I. research lab in Iceland; Founding Co-Director of CADIA, the first A.I. lab in Iceland; and Associate Professor, School of Computer Science, Reykjavik University.
Kristinn is also cofounder of Radar Networks, Inc., San Francisco, and inventor of the technology behind Twine, with Nova Spivack and Jim Wissner. He is on the editorial boards of the Journal of General Artificial Intelligence and LNCS Transactions on Computational Collective Intelligence.
His research interests focus on: artificial intelligence, cognition, virtual & augmented Realities, and natural & multimodal communication. He is also interested in simulation, emergence, and computer graphics.
How can a thinking mind be produced through interactions between a complex arrangement of components? Natural intelligence, as observed in humans and animals, is the result of multiple systems and subsystems, implementing a complex pattern of information flow and controlled interaction. Kristinn aims to understand how the architectural aspects of a thinking mind can be implemented in an artificial substrate. The aim is to produce an artificial general intelligence.
Kristinn strives to build larger, more integrated and complete systems than achieved to date. His approach follows two main traditions in systems thinking. On the one hand is a rather familiar modular decomposition from cognitive science and software development. Modularization (object-orientation being one flavor) is the most powerful known method to construct complex systems. Unfortunately this method has its limitations.
As the proponents of the holistic systems approach have pointed out, people such as Varela, Maturana, Simon, and others, many complex systems have the elusive property that local interactions between their parts are not sufficient to explain, understand or predict the operation of the whole system of which they are a part. Software methodologies employing traditional modular decomposition will not be sufficient to allow us to construct such systems in the lab so Kristinn is forced to look towards methodologies inspired by studies of self-organization and meta-control to achieve the important goal of building generally intelligent systems.
Kristinn coauthored the innovative Amazon download Report on Representations for Multimodal Generation Workshop. His papers include: From Constructionist to Constructivist A.I., SemCards: A New Representation for Realizing the Semantic Web, A YARP-based Architectural Framework for Robotic Vision Applications, Cognitive Map Architecture: Facilitation of Human-Robot Interaction in Humanoid Robots, Holistic Intelligence: Transversal Skills and Current Methodologies, Achieving Artificial General Intelligence Through Peewee Granularity, and Self-Programming: Operationalizing Autonomy. Learn about more of his publications!
He earned his Ph.D. at MIT in 1996 with a focus on artificial intelligence and human-computer interaction. His patents include: Method and system for managing and tracking semantic objects, Methods and systems for managing offers and requests in a network, Method for designing an interactive system, Semantic web portal and platform, and Method for dynamic reprogramming dataflow in a distributed system.