Hamann, H. (2013). A Reductionist Approach to Hypothesis-Catching for the Analysis of Self-Organizing Decision-Making Systems. In 7th IEEE Int. Conf. on Self-Adaptive and Self-Organizing Systems (SASO 2013) (pp. 227–236). IEEE Press.https://doi.org/10.1109/SASO.2013.10 

Hamann, H., Lio, P., Miglino, O., Nicosia, G., Nolfi, S., &; Pavone, M. (2013). Speciation Dynamics: Generating Selective Pressure Towards Diversity. In 12th European Conference on Artificial Life (ECAL 2013). MIT Press.

Hamann, H. (2013). Towards Swarm Calculus: Urn Models of Collective Decisions and Universal Properties of Swarm Performance. Swarm Intelligence, 7(3), 145–172.https://doi.org/10.1007/s11721-013-0080-0 

Hamann, H., Stradner, J., Bredeche, N., &; Cazenille, L. (2012). Impact of Neuron Models and Network Structure on Evolving Modular Robot Neural Network Controllers. In 14th Annual Genetic and Evolutionary Computation Conference, GECCO 2012 (pp. 89–96). ACM.https://doi.org/10.1145/2330163.2330177 

Hamann, H., Schmickl, T., &; Stradner, J. (2012). Towards Morphological Flexibility: Modular Robotics and Bio-inspired Control. In Austrian Robotics Workshop (Operational Programme Slovenia-Austria).

Hamann, H., Schmickl, T., Stradner, J., Crailsheim, K., Zahadat, P., Adami, C.,  Pennock, R. T. (2012). On-line, On-board Evolution of Reaction-Diffusion Control for Self-Adaptation. In Alife XIII (pp. 597–598). MIT Press.

Hamann, H., Schmickl, T., &; Crailsheim, K. (2012). Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics. Mathematical and Computer Modelling of Dynamical Systems, 18(1), 39–50.https://doi.org/10.1080/13873954.2011.601418 

Hamann, H., Schmickl, T., &; Crailsheim, K. (2012). A Hormone-Based Controller for Evaluation-Minimal Evolution in Decentrally Controlled Systems. Artificial Life, 18(2), 165–198.https://doi.org/10.1162/artl_a_00058 

Hamann, H., Schmickl, T., Wörn, H., &; Crailsheim, K. (2012). Analysis of emergent symmetry breaking in collective decision making. Neural Computing and Applications, 21(2), 207–218.https://doi.org/10.1007/s00521-010-0368-6 

Hamann, H., Engelbrecht, A., Birattari, M., Dorigo, M., Blum, C., Stuetzle, T.,https://doi.org/10.1007/978-3-642-32650-9_15__Gross, R. (2012). Towards Swarm Calculus: Universal Properties of Swarm Performance and Collective Decisions. In Swarm Intelligence: 8th International Conference, ANTS 2012 (Vol. 7461, pp. 168–179). Berlin, Heidelberg: Springer.https://doi.org/10.1007/978-3-642-32650-9_15 

Hamann, H., Schmickl, T., Crailsheim, K., Krasnogor, N., &; Luca Lanzi, P. (2011). Coupled inverted pendulums: A benchmark for evolving decentral controllers in modular robotics. In Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011 (pp. 195--202).https://doi.org/10.1145/2001576.2001604 

Hamann, H., Schmickl, T., &; Crailsheim, K. (2011). Thermodynamics of Emergence: Langton’s Ant Meets Boltzmann. In IEEE Symposium on Artificial Life (IEEE ALIFE 2011) (pp. 62--69).https://doi.org/10.1109/ALIFE.2011.5954660 

Hamann, H., Schmickl, T., &; Crailsheim, K. (2011). Evolving for Creativity: Maximizing Complexity in a Self-organized Multi-particle System. In 10th European Conference on Artificial Life (ECAL’09) (Vol. 5777, pp. 442--449).https://doi.org/10.1007/978-3-642-21283-3_55 

Hamann, H., Schmickl, T., Stradner, J., Crailsheim, K., Thenius, R., &; Fitch, R. (2011). Robotic Organisms: Artificial Homeostatic Hormone System and Virtual Embryogenesis as Examples for Adaptive Reaction-Diffusion Controllers. In Robotic Organisms: Artificial Homeostatic Hormone System and Virtual Embryogenesis as Examples.

Hamann, H., &; Schmickl, T. (2011). BEECLUST: A Swarm Algorithm Derived from Honeybees. In Y. Xiao (Ed.), Bio-inspired Computing and Communication Networks. Boca Raton, FL, USA: CRC Press.

Hamann, H., Karsai, I., Schmickl, T., Stradner, J., Crailsheim, K., Thenius, R.,  Szathmary, E. (2011). Evolving a novel bio-inspired controller in reconfigurable robots. In Advances in Artificial Life, 10th European Conference, ECAL 2009 (pp. 132--139).

Hamann, H., Schmickl, T., Crailsheim, K., Thenius, R., &; Kengyel, D. (2011). Embodiment of Honeybee’s Thermotaxis in a Mobile Robot Swarm. In 10th European Conference on Artificial Life (ECAL’09).https://doi.org/10.1007/978-3-642-21314-4_9 

Hamann, H., Schmickl, T., &; Crailsheim, K. (2011). Explaining Emergent Behavior in a Swarm System Based on an Inversion of the Fluctuation Theorem. In T. Lenaerts, M. Giacobini, H. Bersini, P. Bourgine, M. Dorigo, &; R. Doursat (Eds.), Advances in Artificial Life, ECAL 2011: Proceedings of the 11th European Conference on the Synthesis and Simulation of Living Systems (pp. 302--309). MIT Press.

Hamann, H., Schmickl, T., Stradner, J., Crailsheim, K., &; Winkler, L. (2011). Major Feedback Loops Supporting Artificial Evolution in Multi-modular Robotics. In New Horizons in Evolutionary Robotics. Berlin, Heidelberg: Springer.https://doi.org/10.1007/978-3-642-18272-3_13 

Schmickl, T., Hamann, H., &; Crailsheim, K. (2011). Modelling a hormone-inspired controller for individual- and multi-modular robotic systems. Mathematical and Computer Modelling of Dynamical Systems, 17(3), 221–242.https://doi.org/10.1080/13873954.2011.557862