Hamann, H., Schmickl, T., &; Zahadat, P. (2015). Evolving Collective Behaviors With Diverse But Predictable Sensor States. In 13th European Conference on Artificial Life (ECAL 2015) (p. 174). MIT Press.https://doi.org/10.7551/978-0-262-33027-5-ch036 

Hamann, H., Correll, N., Kacprzyk, J., &; Pedrycz, W. (2015). Probabilistic Modeling of Swarming Systems. In Springer Handbook of Computational Intelligence (pp. 1423–1431). Springer.https://doi.org/10.1007/978-3-662-43505-2_74 

Ding, H., &; Hamann, H. (2015). Dependability in Swarm Robotics: Error Detection and Correction. In First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2015).

Hamann, H., Schmickl, T., Kengyel, D., Zahadat, P., Radspieler, G., &; Wotawa, F. (2015). Potential of Heterogeneity in Collective Behaviors: A Case Study on Heterogeneous Swarms. In Principles and Practice of Multi-Agent Systems (PRIMA 2015) (pp. 201–217).

Valentini, G., &; Hamann, H. (2015). Time-variant feedback processes in collective decision-making systems: influence and effect of dynamic neighborhood sizes. Swarm Intelligence, 153–176.https://doi.org/10.1007/s11721-015-0108-8 

Dorigo, M., Hamann, H., &; Valentini, G. (2015). Efficient Decision-Making in a Self-Organizing Robot Swarm: On the Speed Versus Accuracy Trade-Off. In Proceedings of the 14th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2015).

Dorigo, M., Hamann, H., &; Valentini, G. (2015). Self-organized collective decisions in a robot swarm. In AAAI-15 Video Proceedings.

Hamann, H., Karsai, I., Schmickl, T., &; Hilbun, A. (2014). The common stomach: Organizing task allocation in wasp societies. In Symposium on Biomathematics and Ecology: Education and Research.

Hamann, H., &; Valentini, G. (2014). Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins. In Ninth Int. Conf. on Swarm Intelligence (ANTS 2014). Cham.https://doi.org/10.1007/978-3-319-09952-1_15 

Hamann, H., Schmickl, T., &; Crailsheim, K. (2014). Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem. Artificial Life, 20(1), 77–93.https://doi.org/10.1162/ARTL_a_00097 

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

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

Birattari, M., Dorigo, M., Hamann, H., Garnier, S., Montes de Oca, M., Solnon, C.,https://doi.org/10.1007/978-3-319-09952-1_25__Ding, H. (2014). Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation. In Ninth Int. Conf. on Swarm Intelligence (ANTS 2014) (Vol. 8667, pp. 262–269).https://doi.org/10.1007/978-3-319-09952-1_25 

Khaluf, Y., Dorigo, M., Hamann, H., Valentini, G., &; Bartz-Beielstein, T. (2014). 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, pp. 181–190). Springer.https://doi.org/10.1007/978-3-319-10762-2_18 

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

Cervera, E., Khaluf, Y., Birattari, M., Hamann, H., Pobil, A. P. del, Chinellato, E.,https://doi.org/10.1007/978-3-319-08864-8_26__Morales, A. (2014). A Swarm Robotics Approach to Task Allocation Under Soft Deadlines and Negligible Switching Costs. In Simulation of Adaptive Behavior (SAB 2014) (Vol. 8575, pp. 270–279).https://doi.org/10.1007/978-3-319-08864-8_26 

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

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

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

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