Kristinn R. Thórisson

Dr. Kristinn R. Thórisson is an Icelandic Artificial Intelligence researcher, founder of the Icelandic Institute for Intelligent Machines (IIIM) and co-founder and former co-director of CADIA: Center for Analysis and Design of Intelligent Agents. Thórisson is one of the leading proponents of artificial intelligence systems integration.

Thórisson is a proponent of artificial general intelligence (AGI) (also referred to as strong AI) and has proposed a new methodology for achieving artificial general intelligence. A demonstration of this constructivist AI methodology has been given in the FP-7 funded HUMANOBS project HUMANOBS project, where an artificial system autonomously learned how to do spoken multimodal interviews by observing humans participate in a TV-style interview. The system, called AERA, autonomously expands its capabilities through self-reconfiguration. Thórisson has also worked extensively on systems integration for artificial intelligence systems in the past, contributing architectural principles for infusing dialogue and human-interaction capabilities into the Honda ASIMO robot.

Kristinn R. Thórisson is currently managing director for the Icelandic Institute for Intelligent Machines and an associate professor at the School of Computer Science at Reykjavik University. He was co-founder of semantic web startup company Radar Networks, and served as its Chief Technology Officer 2002–03.

The constructivist AI methodology proposed by Thórisson addresses the numerous significant challenges involved in building AGI systems, by replacing the top-down architectural design approaches that are ubiquitous today with methods that allow a system to autonomously manage its own cognitive growth. This involves a shift of focus from manual design of mental functions to the principles from which intelligent systems can grow through self-organization. The methodology was inspired in part by Piaget's theory of cognitive development and motivated by the level of operational complexity that will be required for realizing AGI systems in contrast to what can be achieved with even large teams of human software engineers and software designers relying on methods of manual construction.

...
Wikipedia