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  CADIA is growing! We are in the process of transforming to become a cross-departmental Center at Reykjavik University, focusing on artifical intelligence, robotics, and advanced signal processing. Stay tuned for a new website to be launched in 2013.  
     


  View CADIA info Booklet (flash)
   - booklet download (PDF, 9.5MB)


Beautifying slanted edge Faculty
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Beautifying slanted edge Research Staff
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Dr. Hilmar Finnsson (post-doc)
Dr. Stephan Schiffel (post-doc)
Angelo Cafaro (phd student)
Stefán Freyr Guđmundsson (phd student)
Helgi Páll Helgason (phd student)
Eric Nivel (specialist)
Claudio Pedica (specialist)


Beautifying slanted edge Collaboration
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Honda Research Institute USA | CCP Inc.
U. Edinburgh | U. Bielefeld
U. Alberta | USC Brain Project
USC Institute for Creative Technologies
University of Iceland
Iceland Academy of the Arts

Beautifying slanted edge CADIA Publications ->
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Beautifying slanted edge Featured Links
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   iiim logo
   CADIA collaborates closely with the
      Icel. Institute for Intelligent Machines


   Icelandic Soc. for Intelligence Research

Beautifying slanted edge Small Icelandic flag Íslenska
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Íslenskt efni um gervigreind


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The First Artificial Intelligence Laboratory in Iceland

Humanoid Agents & Robots
Search & Planning
  Realtime Interaction & Games
Virtual & Augmented Reality
 
  Humanoids That Learn Socio-
  Communicative Skills by Observation

The CADIA-led €2M HUMANOBS project ended in summar 2012. The project aimed to develop next-generation AI architectures that grow by self-programming. We have developed an artificial television-show host that can learn how to conduct interviews by observing how people do it. The AI infers their goals and learns not just their behavior but also their intentions for doing them. Based on the concept of model-driven cognition, we have started to lay a new foundation for machines with a more general-purpose intelligence.

 
 Winner Stanford GGP Competition:
 2007, 2008
, 2012
  CADIAPlayer: A General Game-Playing Agent

CADIAPlayer has been CADIA's entry into the 2007 and 2008 International Game Playing Competition held at the AAAI conference. The competition draws participants from a large number of AI labs around the world. CADIA has walked away twice with the highest score, a considerable achievement as these have been CADIAPlayer's first two years participating in such a competition.

 
  Humanoid Agents in Social Game Environments

We are inventing new methods to create believable human behavior in animated characters for massively multiplayer games. We focus on communicative behavior between characters in the game world, emphasizing natural motion and social interaction. Characters are either fully controlled by the game AI or under the direction of human players. For the latter, we are also exploring new high-level user interfaces. This research is done in collaboration with CCP Games. Related projects: BML Realizer.

 
 Nominated President's Innovation Award
  VÉLALDIN emergence engine

Vélaldin is a new development platform for exploring emergent phenomena and complex systems. Based on cellular automata, Vélaldin has been designed with an emphasis on flexibility of the cells, enabling the user to define and implement a number of their features. Vélaldin provides a complete environment in which emergent, complex systems can be implemented and experimented with in a diverse manner.

 
 SUPERRADIOHOST | S1: Superhumanoid One

Superhumanoid One (S1) is the first phase of many in the Superhumanoids project, a multi-year research project which aims to build the next generation of social robots. S1 is currently being brought to life as a fully autonomous radio show host, SuperRadioHost, fully equipped to create a radio program and interview people in a live broadcast. The next Superhumanoid, S2, due to be started in 2007, will will marry the brain of S1 with a graphical SuperBody, as well as animation and multimodal planning and sensing technologies.

 
Graph showing expanding colored nodes.   Automatic Learning of Search Control in
  Heuristic Search

We are developing new domain-independent adaptive search techniques with a primary focus on: enhancing ongoing research into adversary search techniques for learning search control and generalizing these methods such that they can also be applied to non-adversary domains such as single-agent search and automated planning. The new techniques will be integrated into existing heuristic-search solvers and planners for measuring their effectiveness.

 
   
 
OLDER RESEARCH PROJECTS ...
 
CADIA
cadia@ru.is  |  Menntavegur 1, IS -101 Reykjavík
2nd floor, Venus
Tel: +354 599 6200  |  Fax: +354 510 6301