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A robotic agent, built by an international team lead by researchers at Reykjavik University in Iceland, is pushing the boundaries of artificial intelligence by automatically learning socio-communicative skills. It’s a big step towards the ultimate goal of creating intelligence that is both self-sufficient and adaptable in a wide variety of environments.
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CONSORTIUM

CADIA logo
Center for Analysis and Design
of Intelligent Agents
Reykjavik University, Iceland

aslab logo
Autonomous Systems Laboratory
University of Madrid, Spain

roboticslab logo
Robotics Laboratory
Department of Engineering
& Informatics
University of Palermo, Italy

cmlabs logo
Communicative Machines

Edinburgh, United Kingdom

cnr logo
Institute of Cognitive Sciences
& Technologies

National Research Council, Italy

idsia logo
Dalle Molle Institute for Artificial Intelligence

University of Applied Sciences
and Arts of Southern Switzerland (SUPSI) and the University of Lugano (USI), Manno-Lugano, Switzerland


Adapted from Autonomous Software that Learns Social Interaction, Projects Magazine, 23:58-61, June 2013.

From sophisticated software that can assist us with information overload on the world wide web to digital cameras that detect faces and self-driving cars, artificial intelligence has already had a noticeable impact on the world we live in. Scientists and engineers continue to build increasingly complex system architecture, but an intelligent system with sophisticated levels of autonomy remains the Holy Grail.

quote 2Imagine an intelligent agent that could operate with a level of self-sufficiency that allowed it to adapt to a wide variety of environments without knowing in advance what might come its way; imagine an intelligent agent sophisticated enough to understand and imitate the complexities of human social interaction. This may sound like a notion plucked from a sci-fi movie, but in fact it is much closer to reality than we may think.

A research team S1 interacting with a humanbased in Iceland has been leading an international group working on a project, called HUMANOBS, that in 2009 set out to build an intelligent system that can learn socio-communicative skills by observing and imitating humans in social situations. The 3.5-year project was recently completed – but according to Principal Investigators Dr. Kristinn R. Thórisson and Eric Nivel at RU’s CADIA AI laboratory, the results have exceeded even the team’s own expectations.

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 RECENT PUBLICATIONS  More ->

Autonomous Acquisition of Natural Language
Nivel, E., K. R. Thórisson, B. R. Steunebrink, H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, D. Ognibene, J. Schmidhuber, R. Sanz, H. P. Helgason, A. Chella & G. K. Jonsson
In A. P. dos Reis,P. Kommers & P. Isaías (eds.), Proceedings of the IADIS International Conference on Intelligent Systems & Agents 2014 (ISA-14), 58-66, Lissbon, Portugal, July 15-17

PDF

'Outstanding Paper Award'

Bounded Recursive Self-Improvement
Nivel, E., K. R. Thórisson, B. R. Steunebrink, H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, D. Ognibene, J. Schmidhuber, R. Sanz, H. P. Helgason, A. Chella & G. K. Jonsson
Reykjavik University School of Computer Science Technical Report, RUTR-SCS13006 / arXiv:1312.6764 [cs.AI]
Resource-Bounded Machines are Motivated to be Efficient, Effective, and Curious
Steunebrink, B. R., J. Koutnik, K. R. Thórisson, E. Nivel & J. Schmidhuber (2013)
In K-U Kühnberger, S. Rudolph & P. Wang (eds.), Proceedings of Artificial General Intelligence (AGI-13), 119-129, Beijing, China. Lecture Notes in Computer Science Volume 7999, 2013
Recipient of the Kurzweil Prize for Best AGI Idea

PDF

'Kurzweil Award'

Towards a Programming Paradigm for Control Systems With High Levels of Existential Autonomy
Nivel, E. & K. R. Thórisson (2013)
In K-U Kühnberger, S. Rudolph & P. Wang (eds.), Proceedings of Artificial General Intelligence (AGI-13), 78-87, Beijing, China
Predictive Generative Heuristics for Decision-Making in Real-World Environments
Helgason, H. P., K. R. Thórisson, E. Nivel & P. Wang (2013)
In K-U Kühnberger, S. Rudolph & P. Wang (eds.), Proceedings of Artificial General Intelligence (AGI-13), 50-59, Beijing, China

Reductio ad Absurdum: On Oversimplification in Computer Science and its Pernicious Effect on Artificial Intelligence Research
Thórisson, K. R. (2013)
In A. H. M. Abdel-Fattah &K.-U. Kühnberger (eds.), Proceedings of the Workshop Formalizing Mechanisms for Artificial General Intelligence and Cognition (Formal MAGiC), Beijing, China, July 31st, 31-35. Institute of Cognitive Science, Osnabrück

On Attention Mechanisms for AGI Architectures: A Design Proposal
Helgason, H. P., E. Nivel & K. R. Thórisson (2012)
In J. Bach, B. Goertzel & M. Ilké (eds.), Proceedings of Artificial General Intelligence, Oxford University, December 8-11, 89-98
Recipient of the Kurzweil Prize for Best AGI Idea

PDF

'Kurzweil Award'

Evolving Neural Networks in Compressed Weight Space
Koutnik, J., F. Gomez & J. Schmidhuber (2010)
Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO-10)

Intelligence, control and the artificial mind
Sanz, R. (2010)
PerAda Magazine, February 15

From Constructionist to Constructivist A.I.
Thórisson, K. R. (2009)
Keynote
, AAAI Fall Symposium Series - Biologically Inspired Cognitive Architectures, Washington D.C., November 5-7, 175-183. AAAI Tech Report FS-09-01, AAAI Press, Menlo Park, CA

Towards a Methodology for Designing Artificial Conscious Robotic Systems
Chella, A., Massimo Cossentino, and V. Seidita (2009)
AAAI Fall Symposium Series - Biologically Inspired Cognitive Architectures, Washington D.C., November 5-7. AAAI Tech Report FS-09-01, AAAI Press, Menlo Park, CA

 

 PAST EVENTS  
Construcivist & AGI Summer School - 2012 Constructivist A.I. & Artificial General Intelligence, August 1 - August 16 More ->
Constructivist Workshop - Fall 2011 From Constructionist to Constructivist A.I. Methodologies for Creating Artificial Intelligence, September 1-3 2011 More ->

 

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