Dorigo M, Hamann H, Valentini G, et al. Self-Organized Collective Decision Making: The Weighted Voter Model. In: Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014). ; 2014.

Hamann H. Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal. In: Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014). ; 2014:31-32. doi:10.1145/2598394.2598507

Birattari M, Dorigo M, Hamann H, et al. Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation. In: Ninth Int. Conf. on Swarm Intelligence (ANTS 2014). Vol 8667. ; 2014:262-269. doi:10.1007/978-3-319-09952-1_25

Khaluf Y, Dorigo M, Hamann H, Valentini G, Bartz-Beielstein T. Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements. In: 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014). Vol 8672. Springer; 2014:181-190. doi:10.1007/978-3-319-10762-2_18

Hamann H, Sayama H, Rieffel J, Risi S, Doursat R, Lipson H. Evolution of Collective Behaviors by Minimizing Surprise. In: 14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014). MIT Press; 2014:344-351. doi:10.7551/978-0-262-32621-6-ch055

Cervera E, Khaluf Y, Birattari M, et al. A Swarm Robotics Approach to Task Allocation Under Soft Deadlines and Negligible Switching Costs. In: Simulation of Adaptive Behavior (SAB 2014). Vol 8575. ; 2014:270-279. doi:10.1007/978-3-319-08864-8_26

Mertsching B, Divband Soorati M, Kotthauser T. Automatic Reconstruction of Polygonal Room Models from 3D Point Clouds. IEEE International Conference on Robotics and Biomimetics (ROBIO). 2013:661-667.

Hamann H, Karsai I, Schmickl T. Time delay implies cost on task switching: A model to investigate the efficiency of task partitioning. Bulletin of Mathematical Biology. 2013;75(7):1181-1206. doi:10.1007/s11538-013-9851-4 

Hamann H, Schmickl T, Stradner J, Crailsheim K, Thenius R, Zahadat P. Algorithmic Requirements for Swarm Intelligence in Differently Coupled Collective Systems. Chaos, Solitons &; Fractals. 2013;50:100-114. doi:10.1016/j.chaos.2013.01.011

Hamann H, Schmickl T, Stradner J, Schwarzer C, Michiels NK, Esparcia-Alcazar AI. Virtual Spatiality in Agent Controllers: Encoding Compartmentalization. In: Applications of Evolutionary Computation - 16th European Conference (EvoApplications 2013). Vol 7835. ; 2013:579-588. doi:10.1007/978-3-642-37192-9_58

Hamann H. 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). IEEE Press; 2013:227-236. doi:10.1109/SASO.2013.10

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

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

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

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

Hamann H, Schmickl T, Stradner J, et al. On-line, On-board Evolution of Reaction-Diffusion Control for Self-Adaptation. In: Alife XIII. MIT Press; 2012:597-598.

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

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

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

Hamann H, Engelbrecht A, Birattari M, et al. Towards Swarm Calculus: Universal Properties of Swarm Performance and Collective Decisions. In: Swarm Intelligence: 8th International Conference, ANTS 2012. Vol 7461. Berlin, Heidelberg: Springer; 2012:168-179. doi:10.1007/978-3-642-32650-9_15