Main

Fields of interest:

• biologically inspired Artificial Intelligence and Robotics,
• information theory as basis for intelligent behaviour, 
• self-organization and emergent dynamics
  
  

Selected Publications:

Polani, D,:
Information: Currency of Life
HFSP Journal,
3(5):307-316. Perspective (2009)..

Klyubin, A. S., Polani, D., and Nehaniv, C. L.,:
Keep Your Options Open: An Information-Based Driving Principle for Sensorimotor Systems.
PLoS ONE, 3(12):e4018. http://dx.doi.org/10.1371/journal.pone.0004018, (2008), Dec 2008.

Möller, M., and Polani, D.,:
Common Concepts in Agent Groups, Symmetries and Conformity in a Simple Environment. In Bullock, S., Noble, J., Watson, R., and Bedau, M. A., editors, Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, Winchester 5-8. Aug., 420-427. MIT Press, Cambridge, MA. http://www.alifexi.org/papers/ALIFExi_pp420-427.pdf, August 2008.

Ay, N., and Polani, D.:
Information Flows in Causal Networks.
Advances in Complex Systems, (2008).11(1):17-41.

Klyubin, A., Polani, D., and Nehaniv, C.,:
Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop.
Neural Computation, 19(9):2387-2432, (2007).

Polani, D., Sporns, O., and Lungarella, M.:
(2007). How Information and Embodiment Shape Intelligent Information Processing. In Lungarella, M., Iida, F., Bongard, J., and Pfeifer, R., editors,
Proc. 50th Anniversary Summit of Artificial Intelligence, 99-111. Springer-Verlag: Berlin, Heidelberg, New York.

Capdepuy, P., Polani, D., and Nehaniv, C.:
(2007). Maximization of Potential Information Flow as a Universal Utility for Collective Behaviour.
In 2007 IEEE Symposium on Artificial Life, 207-213. IEEE.

Jung, T. and Polani, D.:
Learning RoboCup-Keepaway with Kernels. In Lawrence, N., Schwaighofer, A., and Candela, J. Q., editors, Gaussian Processes in Practice, volume 1 of JMLR Workshop and Conference Proceedings, pages 33-57, (2007).

Polani, D., Nehaniv, C., Martinetz, T., and Kim, J. T.,:
Relevant Information in Optimized Persistence vs. Progeny Strategies.
In M.Rocha, L., Bedau, M., Floreano, D., Goldstone, R., Vespignani, A., and Yaeger, L., editors, (2006).
Proc. Artificial Life X.

Olsson, L., Nehaniv, C. L., and Polani, D.,:
(2006). From Unknown Sensors and Actuators to Actions Grounded in Sensorimotor Perceptions. Connection Science, 18(2). Special Issue on Developmental Robotics, Douglas Blank and Lisa Meeden, editors.
…