M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets,”10.1162/evco_a_00266__Evolutionary Computation, vol. 28, no. 2, pp. 165–193, 2020, doi:10.1162/evco_a_00266 .
LibreCat: /record/15025
DOI: 10.1162/evco_a_00266

H. Hamann, C. Markarian, F. Meyer auf der Heide, and M. Wahby, “Pick, Pack, &; Survive: Charging Robots in a Modern Warehouse based on Online Connected Dominating Sets,” in Ninth International Conference on Fun with Algorithms (FUN), 2018.
LibreCat: /record/2850
DOI: 10.4230/LIPIcs.FUN.2018.22

L. van Rooijen, F. S. Bäumer, M. C. Platenius, M. Geierhos, H. Hamann, and G. Engels, “From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process,” in 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), Lisbon, Portugal, 2017, pp. 379–385.
LibreCat: /record/97
DOI: 10.1109/REW.2017.26

M. Wahby, D. N. Hofstadler, M. K. Heinrich, P. Zahadat, and H. Hamann, “An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap,” in Proc. of the 10th International Conference on Self-Adaptive and Self-Organizing Systems, 2016.
LibreCat: /record/19961
DOI: 10.1109/saso.2016.8

M. K. Heinrich et al., “Self-Organized Construction with Continuous Building Material: Higher Flexibility Based on Braided Structures,” in Proc. of the 1st International Workshop on Self-Organising Construction (SOCO), 2016.
LibreCat: /record/19968
DOI: 10.1109/fas-w.2016.43

H. Hamann et al., “Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems,” Frontiers in Robotics and AI, 2016.
LibreCat: /record/19969
DOI: 10.3389/frobt.2016.00014

H. Hamann and M. Divband Soorati, “Robot Self-Assembly as Adaptive Growth Process: Collective Selection of Seed Position and Self-Organizing Tree-Structures,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016.
LibreCat: /record/19979
DOI: 10.1109/IROS.2016.7759845

M. Dorigo, H. Hamann, G. Valentini, and E. Ferrante, “Collective Decision with 100 Kilobots: Speed vs Accuracy in Binary Discrimination Problems,” Journal of Autonomous Agents and Multi-Agent Systems, vol. 30, no. 3, pp. 553–580, 2016.
LibreCat: /record/19983
DOI: 10.1007/s10458-015-9323-3

H. Hamann, G. Valentini, and M. Dorigo, “Population Coding: A New Design Paradigm for Embodied Distributed Systems,” in 10th Int. Conf. on Swarm Intelligence, ANTS 2016, 2016.
LibreCat: /record/20000
DOI: 10.1007/978-3-319-44427-7_15

S. von Mammen, H. Hamann, and M. Heider, “Robot Gardens: An Augmented Reality Prototype for Plant-Robot Biohybrid Systems,” in ACM Symposium on Virtual Reality Software and Technology (VRST), 2016.
LibreCat: /record/20001
DOI: 10.1145/2993369.2993400

M. Rybá and H. Hamann, “Inspiration-Triggered Search: Towards Higher Complexities by Mimicking Creative Processes,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), 2016.
LibreCat: /record/20002
DOI: 10.1145/2908812.2908815

Y. Khaluf and H. Hamann, “On the Definition of Self-organizing Systems: Relevance of Positive/Negative Feedback and Fluctuations,” in ANTS 2016, 2016, vol. 9882, p. 298.
LibreCat: /record/20003

G. Valentini, D. Brambilla, H. Hamann, and M. Dorigo, “Collective Perception of Environmental Features in a Robot Swarm,” in 10th Int. Conf. on Swarm Intelligence, ANTS 2016, 2016.
LibreCat: /record/20004
DOI: 10.1007/978-3-319-44427-7_6

T. Kühne, H. Hamann, S. Arifulina, and G. Engels, “Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application,” in Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016), 2016, pp. 278--293.
LibreCat: /record/169
DOI: 10.1007/978-3-319-30668-1_18

M. Wahby and H. Hamann, “On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking,” in Applications of Evolutionary Computation (EvoApplications 2015), 2015.
LibreCat: /record/19959
DOI: 10.1007/978-3-319-16549-3_61

H. Hamann et al., “Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids,” in Proceedings of the 2015 IEEE Symposium on Artificial Life (IEEE ALIFE’15), 2015.
LibreCat: /record/19960
DOI: 10.1109/ssci.2015.158

H. Hamann, “Lessons from Speciation Dynamics: How to Generate Selective Pressure Towards Diversity,” Artificial Life, pp. 464–480, 2015.
LibreCat: /record/19962
DOI: 10.1162/artl_a_00186

M. Wahby, A. Weinhold, and H. Hamann, “Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings,” in Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS), 2015.
LibreCat: /record/19966
DOI: 10.4108/eai.3-12-2015.2262877

M. Wahby, M. Divband Soorati, S. von Mammen, and H. Hamann, “Evolution of Controllers for Robot-Plant Bio-Hybdrids: A Simple Case Study Using a Model of Plant Growth and Motion,” in Proceedings. 25. Computational Intelligence Workshop, 2015.
LibreCat: /record/19967

H. Hamann and M. Divband Soorati, “The Effect of Fitness Function Design on Performance in Evolutionary Robotics: The Influence of a Priori Knowledge,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 2015, pp. 153–160.
LibreCat: /record/19980
DOI: 10.1145/2739480.2754676

H. Hamann, T. Schmickl, and P. Zahadat, “Evolving Collective Behaviors With Diverse But Predictable Sensor States,” in 13th European Conference on Artificial Life (ECAL 2015), 2015, p. 174.
LibreCat: /record/19988
DOI: 10.7551/978-0-262-33027-5-ch036

H. Hamann, N. Correll, J. Kacprzyk, and W. Pedrycz, “Probabilistic Modeling of Swarming Systems,” in Springer Handbook of Computational Intelligence, Springer, 2015, pp. 1423–1431.
LibreCat: /record/19989
DOI: 10.1007/978-3-662-43505-2_74

H. Ding and H. Hamann, “Dependability in Swarm Robotics: Error Detection and Correction,” in First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2015), 2015.
LibreCat: /record/19990

H. Hamann, T. Schmickl, D. Kengyel, P. Zahadat, G. Radspieler, and F. Wotawa, “Potential of Heterogeneity in Collective Behaviors: A Case Study on Heterogeneous Swarms,” in Principles and Practice of Multi-Agent Systems (PRIMA 2015), 2015, pp. 201–217.
LibreCat: /record/19991

G. Valentini and H. Hamann, “Time-variant feedback processes in collective decision-making systems: influence and effect of dynamic neighborhood sizes,” Swarm Intelligence, pp. 153–176, 2015.
LibreCat: /record/19992
DOI: 10.1007/s11721-015-0108-8

M. Dorigo, H. Hamann, and G. Valentini, “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), 2015.
LibreCat: /record/20005

M. Dorigo, H. Hamann, and G. Valentini, “Self-organized collective decisions in a robot swarm,” in AAAI-15 Video Proceedings, 2015.
LibreCat: /record/20006

H. Hamann, I. Karsai, T. Schmickl, and A. Hilbun, “The common stomach: Organizing task allocation in wasp societies,” in Symposium on Biomathematics and Ecology: Education and Research, 2014.
LibreCat: /record/20007

H. Hamann and G. Valentini, “Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins,” in Ninth Int. Conf. on Swarm Intelligence (ANTS 2014), 2014.
LibreCat: /record/20008
DOI: 10.1007/978-3-319-09952-1_15

H. Hamann, T. Schmickl, and K. Crailsheim, “Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem,” Artificial Life, vol. 20, no. 1, pp. 77–93, 2014.
LibreCat: /record/20120
DOI: 10.1162/ARTL_a_00097

M. Dorigo 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.
LibreCat: /record/20121

H. Hamann, “Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal,” in Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014), 2014, pp. 31–32.
LibreCat: /record/20126
DOI: 10.1145/2598394.2598507

M. Birattari et al., “Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation,” in Ninth Int. Conf. on Swarm Intelligence (ANTS 2014), 2014, vol. 8667, pp. 262–269.
LibreCat: /record/20127
DOI: 10.1007/978-3-319-09952-1_25

Y. Khaluf, M. Dorigo, H. Hamann, G. Valentini, and T. Bartz-Beielstein, “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, pp. 181–190.
LibreCat: /record/20128
DOI: 10.1007/978-3-319-10762-2_18

H. Hamann, H. Sayama, J. Rieffel, S. Risi, R. Doursat, and H. Lipson, “Evolution of Collective Behaviors by Minimizing Surprise,” in 14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014), 2014, pp. 344–351.
LibreCat: /record/20129
DOI: 10.7551/978-0-262-32621-6-ch055

E. Cervera et al., “A Swarm Robotics Approach to Task Allocation Under Soft Deadlines and Negligible Switching Costs,” in Simulation of Adaptive Behavior (SAB 2014), 2014, vol. 8575, pp. 270–279.
LibreCat: /record/20130
DOI: 10.1007/978-3-319-08864-8_26

B. Mertsching, M. Divband Soorati, and T. Kotthauser, “Automatic Reconstruction of Polygonal Room Models from 3D Point Clouds,” IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 661–667, 2013.
LibreCat: /record/19981

H. Hamann, I. Karsai, and T. Schmickl, “Time delay implies cost on task switching: A model to investigate the efficiency of task partitioning,” Bulletin of Mathematical Biology, vol. 75, no. 7, pp. 1181–1206, 2013.
LibreCat: /record/20148
DOI: 10.1007/s11538-013-9851-4 

H. Hamann, T. Schmickl, J. Stradner, K. Crailsheim, R. Thenius, and P. Zahadat, “Algorithmic Requirements for Swarm Intelligence in Differently Coupled Collective Systems,” Chaos, Solitons &; Fractals, vol. 50, pp. 100–114, 2013.
LibreCat: /record/20150
DOI: 10.1016/j.chaos.2013.01.011

H. Hamann, T. Schmickl, J. Stradner, C. Schwarzer, N. K. Michiels, and A. I. Esparcia-Alcazar, “Virtual Spatiality in Agent Controllers: Encoding Compartmentalization,” in Applications of Evolutionary Computation - 16th European Conference (EvoApplications 2013), 2013, vol. 7835, pp. 579–588.
LibreCat: /record/20151
DOI: 10.1007/978-3-642-37192-9_58

H. Hamann, “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), 2013, pp. 227–236.
LibreCat: /record/20160
DOI: 10.1109/SASO.2013.10

H. Hamann, P. Lio, O. Miglino, G. Nicosia, S. Nolfi, and M. Pavone, “Speciation Dynamics: Generating Selective Pressure Towards Diversity,” in 12th European Conference on Artificial Life (ECAL 2013), 2013.
LibreCat: /record/20161

H. Hamann, “Towards Swarm Calculus: Urn Models of Collective Decisions and Universal Properties of Swarm Performance,” Swarm Intelligence, vol. 7, no. 3, pp. 145–172, 2013.
LibreCat: /record/20162
DOI: 10.1007/s11721-013-0080-0

H. Hamann, J. Stradner, N. Bredeche, and L. Cazenille, “Impact of Neuron Models and Network Structure on Evolving Modular Robot Neural Network Controllers,” in 14th Annual Genetic and Evolutionary Computation Conference, GECCO 2012, 2012, pp. 89–96.
LibreCat: /record/20173
DOI: 10.1145/2330163.2330177

H. Hamann, T. Schmickl, and J. Stradner, “Towards Morphological Flexibility: Modular Robotics and Bio-inspired Control,” in Austrian Robotics Workshop (Operational Programme Slovenia-Austria), 2012.
LibreCat: /record/20174

H. Hamann et al., “On-line, On-board Evolution of Reaction-Diffusion Control for Self-Adaptation,” in Alife XIII, 2012, pp. 597–598.
LibreCat: /record/20175

H. Hamann, T. Schmickl, and K. Crailsheim, “Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics,” Mathematical and Computer Modelling of Dynamical Systems, vol. 18, no. 1, pp. 39–50, 2012.
LibreCat: /record/20176
DOI: 10.1080/13873954.2011.601418

H. Hamann, T. Schmickl, and K. Crailsheim, “A Hormone-Based Controller for Evaluation-Minimal Evolution in Decentrally Controlled Systems,” Artificial Life, vol. 18, no. 2, pp. 165–198, 2012.
LibreCat: /record/20177
DOI: 10.1162/artl_a_00058

H. Hamann, T. Schmickl, H. Wörn, and K. Crailsheim, “Analysis of emergent symmetry breaking in collective decision making,” Neural Computing and Applications, vol. 21, no. 2, pp. 207–218, 2012.
LibreCat: /record/20178
DOI: 10.1007/s00521-010-0368-6

H. Hamann et al., “Towards Swarm Calculus: Universal Properties of Swarm Performance and Collective Decisions,” in Swarm Intelligence: 8th International Conference, ANTS 2012, 2012, vol. 7461, pp. 168–179.
LibreCat: /record/20179
DOI: 10.1007/978-3-642-32650-9_15