This project is completed.

Project members:
Magnus Johnsson, Germund Hesslow, Peter Gärdenfors, Christian Balkenius, Stefan Winberg and Rasmus Bååth.

The project investigates how to develop a bio-inspired self-organizing cognitive architecture which with increasing degree of detail and scale can help to increase the understanding of internal simulation. The modelling is done primarily at system level, which means that we can pursue an overall structural similarity between models and the systems in the brain that are modelled. For individual systems a functional similarity are sought due to computational limitations, eg a Self-Organizing Map (SOM) can be used to approximate a cortical area.

The project is interesting because we expect it to increase the understanding of internal simulation, anticipation, cross-sensory integration, memory, etc. Furthermore, it is expected to enable a better understanding of how more complete cognitive systems can function and evolve over time, since we aim at a self-organizing cognitive architecture, and how a cognitive architecture can be integrated with physical robots.

Publications:
Buonamente, M., Dindo, H. and Johnsson, M. (2013). Simulating Actions with the Associative Self-Organizing Map. In the proceedings of the International Workshop on Artificial Intelligence and Cognition (AIC 2013), Turin, Italy .

Buonamente, M., Dindo, H. and Johnsson, M. (2013). Recognizing Actions with the Associative Self-Organizing Map. In the proceedings of the 24th International Conference on Information, Communication and Automation Technologies (ICAT 2013), Sarajevo, Bosnia and Herzegovina .

Johnsson, M. (2012). (Ed.) Applications of Self-Organizing Maps, InTech. ISBN: 978-953-51-0862-7.

Johnsson, M., and Buonamente, M. (2012). Internal Simulation of an Agent`s Intentions. Proceedings of the Biologically Inspired Cognitive Architectures 2012, Palermo, Italy. 175-176, Springer, ISBN: 978-3-642-34273-8.

Buonamente, M., and Johnsson, M. (2012). Architecture to Serve Disabled and Elderly. Proceedings of the Biologically Inspired Cognitive Architectures 2012, Palermo, Italy. 365-366, Springer, ISBN: 978-3-642-34273-8.

Viejo, D., Garcia, J., Cazorla, M., Gil, D. and Johnsson, M. (2012). Using GNG to improve 3D features extraction – Application to 6DoF Egomotion. Neural Networks, 32, 138-146, ISSN 0893-6080.

Viejo, D., Garcia, J., Cazorla, M., Gil, D. and Johnsson, M. (2011). Using 3D GNG-Based Reconstruction for 6DoF Egomotion. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2011, San Jose, California, USA. 12071213. ISBN: 978-1-4244-9636-5.

Gil, D., Garcia, J., Cazorla, M. and Johnsson, M. (2011). Predictions Tasks with Words and Sequences: Comparing a Novel Recurrent Architecture with the ElmanNetwork. Proceedings of the International Joint Conference on Neural Networks  (IJCNN) 2011, San Jose, California, USA. 1042-1048. ISBN: 978-1-4244-9636-5.

Johnsson, M. and Gil, D. (2011). Internal Simulation of Perceptions and Actions. Brain Inspired Cognitive Systems 2010, Springer.

Johnsson, M., Gil, D., Hesslow, G. and Balkenius, C. (2011). Internal Simulation in a Bimodal System. In the proceedings of the Scandinavian Conference on Artificial Intelligence (SCAI) 2011, Trondheim, Norway.

Johnsson, M., Martinsson, M., Gil, D. and Hesslow, G. (2011). Associative Self-Organizing Map. In Mwasiagi, J.I. (Ed), Self-Organizing Maps – Applications and Novel Algorithm Design, INTECH, 603-626. ISBN: 978-953-307-546-4.

Johnsson, M. and Balkenius, C. (2011). Sense of Touch in Robots with Self-Organizing Maps. IEEE Transactions on Robotics.

Johnsson, M., Balkenius, C. and Hesslow, G. (2011). Multimodal System Based on Self-Organizing Maps. Lecture Notes in Computer Science (Studies in Computational Intelligence), Springer-Verlag.

Bååth, R. and Balkenius C. (2010). Is it necessary to solve the redundancy problem when learning the inverse kinematics of a robot arm? To appear in the Tenth International Conference on Epigenetic Robotics, Lund 2010.

Bååth, R. and Johansson B. (2010). Making a Map-making Robot: Using the IKAROS System to Implement the Occupancy Grid Algorithm . In Bol, R. (Ed.) Proceedings of SAIS 2010, Uppsala, Sweden. 27-34.

Balkenius, C., Morén, J., Johansson, B and Johnsson, M. (2010). Ikaros: Building Cognitive Models for Robots. Advanced Engineering Informatics, 24, 1, 40-48.

Gil, D., and Johnsson, M. (2010). Supervised SOM Based Architecture versus Multilayer Perceptron and RBF Networks. In Bol, R. (Ed.) Proceedings of SAIS 2010, Uppsala, Sweden. 15-24.

Johnsson, M., and Balkenius, C. (2010). Haptic Perception with Self-Organizing ANNs and an Anthropomorphic Robot Hand. Journal of Robotics, vol. 2010, Article ID 860790, 9 pages.

Winberg, S. & Balkenius, C. (2010). Learning to Simulate the Behavior of a Dynamical Object, B., Sahin, E. & Balkenius, C. Proceedings of the Tenth International Conference on Epigenetic Robotics. Lund Univeristy Cognitive Studies, 149.

Johnsson, M., Gil, D., Balkenius, C. and Hesslow, G. (2010). Supervised Architectures for Internal Simulation of Perceptions and Actions. In Hernandez, C., Gomez, J., and Sanz, R. (Eds.) Proceedings of Brain Inspired Cognitive Systems (BICS) 2010, Madrid, Spain.

Cañamero, L., Oudeyer, P.-Y. & Balkenius, C. Proceedings of the Ninth International Conference on Epigenetic Robotics. Lund Univeristy Cognitive Studies, 145.

Gil, D. and Johnsson, M. (Submitted). SARASOM – A Supervised Architecture based on Recurrent Associative SOM.

Balkenius, C., Morén, J., and Winberg, S. (2009). Interactions between Motivation, Emotion and Attention: From Biology to Robotics. In Cañamero, L., Oudeyer, P.-Y. & Balkenius, C. Proceedings of the Ninth International Conference on Epigenetic Robotics. Lund Univeristy Cognitive Studies, 145.

Johnsson, M., Balkenius, C., and Hesslow, G. (2009). Neural Network Architecture for Crossmodal Activation and Perceptual Sequences. Papers from the AAAI Fall Symposium (Biologically Inspired Cognitive Architectures) 2009, Arlington, Virginia, USA. 85-86.

Johnsson, M., Balkenius, C., and Hesslow, G. (2009). Associative Self-Organizing Map. In the proceedings of the International Joint Conference on Computational Intelligence (IJCCI) 2009, Funchal, Madeira, Portugal, 363-370.

Johnsson, M., and Balkenius, C. (2009). Experiments with Self-Organizing Systems for Texture and Hardness Perception. Global Journal of Computer Science and Technology, 1.2, 53-62.

Balkenius, C., Morén, J., Johansson, B. and Johnsson, M. (2008). Ikaros: Building Cognitive Models for Robots. In Hülse, M. and Hild, M. (Eds). Workshop on current software frameworks in cognitive robotics integrating different computational paradigms (in conjunction with IROS 2008), Nice, France, 47-54.

Johnsson, M., and Balkenius, C. (2008). Associating SOM Representations of Haptic Submodalities. In Ramamoorthy, S. and Hayes, G. M. (Eds.) Towards Autonomous Robotic Systems 2008, The University of Edinburgh, Edinburgh, UK, 124-129.