Dorigo, Marco, et al. “Self-Organized Collective Decision Making: The Weighted Voter Model.” Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014), 2014.

Hamann, Heiko. “Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal.”10.1145/2598394.2598507__Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014), 2014, pp. 31–32, doi:10.1145/2598394.2598507.

Birattari, Mauro, et al. “Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation.”10.1007/978-3-319-09952-1_25__Ninth Int. Conf. on Swarm Intelligence (ANTS 2014), vol. 8667, 2014, pp. 262–69, doi:10.1007/978-3-319-09952-1_25.

Khaluf, Yara, et al. “Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements.”10.1007/978-3-319-10762-2_18__13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), vol. 8672, Springer, 2014, pp. 181–90, doi:10.1007/978-3-319-10762-2_18.

Hamann, Heiko, et al. “Evolution of Collective Behaviors by Minimizing Surprise.”10.7551/978-0-262-32621-6-ch055__14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014), MIT Press, 2014, pp. 344–51, doi:10.7551/978-0-262-32621-6-ch055.

Cervera, Enric, et al. “A Swarm Robotics Approach to Task Allocation Under Soft Deadlines and Negligible Switching Costs.”10.1007/978-3-319-08864-8_26__Simulation of Adaptive Behavior (SAB 2014), vol. 8575, 2014, pp. 270–79, doi:10.1007/978-3-319-08864-8_26.

Mertsching, Bärbel, et al. “Automatic Reconstruction of Polygonal Room Models from 3D Point Clouds.” IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013, pp. 661–67.

Hamann, Heiko, et al. “Time Delay Implies Cost on Task Switching: A Model to Investigate the Efficiency of Task Partitioning.”10.1007/s11538-013-9851-4 __Bulletin of Mathematical Biology, vol. 75, no. 7, 2013, pp. 1181–206, doi:10.1007/s11538-013-9851-4 .

Hamann, Heiko, et al. “Algorithmic Requirements for Swarm Intelligence in Differently Coupled Collective Systems.”10.1016/j.chaos.2013.01.011__Chaos, Solitons &; Fractals, vol. 50, 2013, pp. 100–14, doi:10.1016/j.chaos.2013.01.011.

Hamann, Heiko, et al. “Virtual Spatiality in Agent Controllers: Encoding Compartmentalization.”10.1007/978-3-642-37192-9_58__Applications of Evolutionary Computation - 16th European Conference (EvoApplications 2013), vol. 7835, 2013, pp. 579–88, doi:10.1007/978-3-642-37192-9_58.

Hamann, Heiko. “A Reductionist Approach to Hypothesis-Catching for the Analysis of Self-Organizing Decision-Making Systems.”10.1109/SASO.2013.10__7th IEEE Int. Conf. on Self-Adaptive and Self-Organizing Systems (SASO 2013), IEEE Press, 2013, pp. 227–36, doi:10.1109/SASO.2013.10.

Hamann, Heiko, et al. “Speciation Dynamics: Generating Selective Pressure Towards Diversity.” 12th European Conference on Artificial Life (ECAL 2013), MIT Press, 2013.

Hamann, Heiko. “Towards Swarm Calculus: Urn Models of Collective Decisions and Universal Properties of Swarm Performance.”10.1007/s11721-013-0080-0__Swarm Intelligence, vol. 7, no. 3, 2013, pp. 145–72, doi:10.1007/s11721-013-0080-0.

Hamann, Heiko, et al. “Impact of Neuron Models and Network Structure on Evolving Modular Robot Neural Network Controllers.”10.1145/2330163.2330177__14th Annual Genetic and Evolutionary Computation Conference, GECCO 2012, ACM, 2012, pp. 89–96, doi:10.1145/2330163.2330177.

Hamann, Heiko, et al. “Towards Morphological Flexibility: Modular Robotics and Bio-Inspired Control.” Austrian Robotics Workshop (Operational Programme Slovenia-Austria), 2012.

Hamann, Heiko, et al. “On-Line, On-Board Evolution of Reaction-Diffusion Control for Self-Adaptation.” Alife XIII, MIT Press, 2012, pp. 597–98.

Hamann, Heiko, et al. “Self-Organized Pattern Formation in a Swarm System as a Transient Phenomenon of Non-Linear Dynamics.”10.1080/13873954.2011.601418__Mathematical and Computer Modelling of Dynamical Systems, vol. 18, no. 1, 2012, pp. 39–50, doi:10.1080/13873954.2011.601418.

Hamann, Heiko, et al. “A Hormone-Based Controller for Evaluation-Minimal Evolution in Decentrally Controlled Systems.”10.1162/artl_a_00058__Artificial Life, vol. 18, no. 2, 2012, pp. 165–98, doi:10.1162/artl_a_00058.

Hamann, Heiko, et al. “Analysis of Emergent Symmetry Breaking in Collective Decision Making.”10.1007/s00521-010-0368-6__Neural Computing and Applications, vol. 21, no. 2, 2012, pp. 207–18, doi:10.1007/s00521-010-0368-6.

Hamann, Heiko, et al. “Towards Swarm Calculus: Universal Properties of Swarm Performance and Collective Decisions.”10.1007/978-3-642-32650-9_15__Swarm Intelligence: 8th International Conference, ANTS 2012, vol. 7461, Springer, 2012, pp. 168–79, doi:10.1007/978-3-642-32650-9_15.