@inproceedings{19988,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Zahadat, Payam}},
  booktitle    = {{13th European Conference on Artificial Life (ECAL 2015)}},
  pages        = {{174}},
  publisher    = {{MIT Press}},
  title        = {{{Evolving Collective Behaviors With Diverse But Predictable Sensor States}}},
  doi          = {{10.7551/978-0-262-33027-5-ch036}},
  year         = {{2015}},
}

@inbook{19989,
  author       = {{Hamann, Heiko and Correll, Nikolaus and Kacprzyk, Janusz and Pedrycz, Witold}},
  booktitle    = {{Springer Handbook of Computational Intelligence}},
  pages        = {{1423--1431}},
  publisher    = {{Springer}},
  title        = {{{Probabilistic Modeling of Swarming Systems}}},
  doi          = {{10.1007/978-3-662-43505-2_74}},
  year         = {{2015}},
}

@inproceedings{19990,
  author       = {{Ding, Hongli and Hamann, Heiko}},
  booktitle    = {{First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2015)}},
  title        = {{{Dependability in Swarm Robotics: Error Detection and Correction}}},
  year         = {{2015}},
}

@inproceedings{19991,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Kengyel, Daniela and Zahadat, Payam and Radspieler, Gerald and Wotawa, Franz}},
  booktitle    = {{Principles and Practice of Multi-Agent Systems (PRIMA 2015)}},
  pages        = {{201--217}},
  title        = {{{Potential of Heterogeneity in Collective Behaviors: A Case Study on Heterogeneous Swarms}}},
  year         = {{2015}},
}

@article{19992,
  author       = {{Valentini, Gabriele and Hamann, Heiko}},
  issn         = {{1935-3812}},
  journal      = {{Swarm Intelligence}},
  pages        = {{153--176}},
  title        = {{{Time-variant feedback processes in collective decision-making systems: influence and effect of dynamic neighborhood sizes}}},
  doi          = {{10.1007/s11721-015-0108-8}},
  year         = {{2015}},
}

@inproceedings{20005,
  author       = {{Dorigo, Marco and Hamann, Heiko and Valentini, Gabriele}},
  booktitle    = {{Proceedings of the 14th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2015)}},
  title        = {{{Efficient Decision-Making in a Self-Organizing Robot Swarm: On the Speed Versus Accuracy Trade-Off}}},
  year         = {{2015}},
}

@inproceedings{20006,
  author       = {{Dorigo, Marco and Hamann, Heiko and Valentini, Gabriele}},
  booktitle    = {{AAAI-15 Video Proceedings}},
  title        = {{{Self-organized collective decisions in a robot swarm}}},
  year         = {{2015}},
}

@inproceedings{20007,
  author       = {{Hamann, Heiko and Karsai, Istvan and Schmickl, Thomas and Hilbun, Allison}},
  booktitle    = {{Symposium on Biomathematics and Ecology: Education and Research}},
  title        = {{{The common stomach: Organizing task allocation in wasp societies}}},
  year         = {{2014}},
}

@inproceedings{20008,
  author       = {{Hamann, Heiko and Valentini, Gabriele}},
  booktitle    = {{Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)}},
  isbn         = {{9783319099514}},
  issn         = {{0302-9743}},
  title        = {{{Swarm in a Fly Bottle: Feedback-Based Analysis of Self-organizing Temporary Lock-ins}}},
  doi          = {{10.1007/978-3-319-09952-1_15}},
  year         = {{2014}},
}

@article{20120,
  abstract     = {{A grand challenge in the field of artificial life is to find a general theory of emergent self-organizing systems. In swarm systems most of the observed complexity is based on motion of simple entities. Similarly, statistical mechanics focuses on collective properties induced by the motion of many interacting particles. In this article we apply methods from statistical mechanics to swarm systems. We try to explain the emergent behavior of a simulated swarm by applying methods based on the fluctuation theorem. Empirical results indicate that swarms are able to produce negative entropy within an isolated subsystem due to frozen accidents. Individuals of a swarm are able to locally detect fluctuations of the global entropy measure and store them, if they are negative entropy productions. By accumulating these stored fluctuations over time the swarm as a whole is producing negative entropy and the system ends up in an ordered state. We claim that this indicates the existence of an inverted fluctuation theorem for emergent self-organizing dissipative systems. This approach bears the potential of general applicability.}},
  author       = {{Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl}},
  journal      = {{Artificial Life}},
  number       = {{1}},
  pages        = {{77--93}},
  title        = {{{Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem}}},
  doi          = {{10.1162/ARTL_a_00097}},
  volume       = {{20}},
  year         = {{2014}},
}

@inproceedings{20121,
  abstract     = {{Collective decision making in self-organized systems is challenging because it relies on local perception and local communication. Globally defined qualities such as consensus time and decision accuracy are both difficult to predict and difficult to guarantee. We present the weighted voter model which implements a self-organized collective decision making process. We provide an ODE model, a master equation model (numerically solved by the Gillespie algorithm), and agent-based simulations of the proposed decision-making strategy. This set of models enables us to investigate the system behavior in the thermodynamic limit and to investigate finite-size effects due to random fluctuations. Based on our results, we give minimum requirements to guarantee consensus on the optimal decision, a minimum swarm size to guarantee a certain accuracy, and we show that the proposed approach scales with system size and is robust to noise.}},
  author       = {{Dorigo, Marco and Hamann, Heiko and Valentini, Gabriele and Lomuscio, Alessio and Scerri, Paul and Bazzan, Ana and Huhns, Michael}},
  booktitle    = {{Proceedings of the 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2014)}},
  title        = {{{Self-Organized Collective Decision Making: The Weighted Voter Model}}},
  year         = {{2014}},
}

@inproceedings{20126,
  author       = {{Hamann, Heiko}},
  booktitle    = {{Int. Conf. on Genetic and Evolutionary Computation (GECCO 2014)}},
  pages        = {{31--32}},
  title        = {{{Evolving Prediction Machines: Collective Behaviors Based on Minimal Surprisal}}},
  doi          = {{10.1145/2598394.2598507}},
  year         = {{2014}},
}

@inproceedings{20127,
  author       = {{Birattari, Mauro and Dorigo, Marco and Hamann, Heiko and Garnier, Simon and Montes de Oca, Marco and Solnon, Christine and Stuetzle, Thomas and Ding, Hongli}},
  booktitle    = {{Ninth Int. Conf. on Swarm Intelligence (ANTS 2014)}},
  pages        = {{262--269}},
  title        = {{{Sorting in Swarm Robots Using Communication-Based Cluster Size Estimation}}},
  doi          = {{10.1007/978-3-319-09952-1_25}},
  volume       = {{8667}},
  year         = {{2014}},
}

@inbook{20128,
  author       = {{Khaluf, Yara and Dorigo, Marco and Hamann, Heiko and Valentini, Gabriele and Bartz-Beielstein, T.}},
  booktitle    = {{13th International Conference on Parallel Problem Solving from Nature (PPSN 2014)}},
  pages        = {{181--190}},
  publisher    = {{Springer}},
  title        = {{{Derivation of a Micro-Macro Link for Collective Decision-Making Systems: Uncover Network Features Based on Drift Measurements}}},
  doi          = {{10.1007/978-3-319-10762-2_18}},
  volume       = {{8672}},
  year         = {{2014}},
}

@inproceedings{20129,
  author       = {{Hamann, Heiko and Sayama, Hiroki and Rieffel, John and Risi, Sebastian and Doursat, Rene and Lipson, Hod}},
  booktitle    = {{14th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE 2014)}},
  pages        = {{344--351}},
  publisher    = {{MIT Press}},
  title        = {{{Evolution of Collective Behaviors by Minimizing Surprise}}},
  doi          = {{10.7551/978-0-262-32621-6-ch055}},
  year         = {{2014}},
}

@inproceedings{20130,
  author       = {{Cervera, Enric and Khaluf, Yara and Birattari, Mauro and Hamann, Heiko and Pobil, Angel P.  del and Chinellato, Eris and Martinez-Martin, Ester and Hallam, John and Morales, Antonio}},
  booktitle    = {{Simulation of Adaptive Behavior (SAB 2014)}},
  pages        = {{270--279}},
  title        = {{{A Swarm Robotics Approach to Task Allocation Under Soft Deadlines and Negligible Switching Costs}}},
  doi          = {{10.1007/978-3-319-08864-8_26}},
  volume       = {{8575}},
  year         = {{2014}},
}

@article{19981,
  author       = {{Mertsching, Bärbel and Divband Soorati, Mohammad and Kotthauser, Tobias}},
  journal      = {{IEEE International Conference on Robotics and Biomimetics (ROBIO)}},
  pages        = {{661--667}},
  title        = {{{Automatic Reconstruction of Polygonal Room Models from 3D Point Clouds}}},
  year         = {{2013}},
}

@article{20148,
  author       = {{Hamann, Heiko and Karsai, Istvan and Schmickl, Thomas}},
  journal      = {{Bulletin of Mathematical Biology}},
  number       = {{7}},
  pages        = {{1181--1206}},
  title        = {{{Time delay implies cost on task switching: A model to investigate the efficiency of task partitioning}}},
  doi          = {{10.1007/s11538-013-9851-4 }},
  volume       = {{75}},
  year         = {{2013}},
}

@article{20150,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Stradner, Jürgen and Crailsheim, Karl and Thenius, Ronald and Zahadat, Payam}},
  journal      = {{Chaos, Solitons & Fractals}},
  pages        = {{100--114}},
  title        = {{{Algorithmic Requirements for Swarm Intelligence in Differently Coupled Collective Systems}}},
  doi          = {{10.1016/j.chaos.2013.01.011}},
  volume       = {{50}},
  year         = {{2013}},
}

@inproceedings{20151,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Stradner, Jürgen and Schwarzer, Christopher and Michiels, Nico K. and Esparcia-Alcazar, Anna Isabel}},
  booktitle    = {{Applications of Evolutionary Computation - 16th European Conference (EvoApplications 2013)}},
  pages        = {{579--588}},
  title        = {{{Virtual Spatiality in Agent Controllers: Encoding Compartmentalization}}},
  doi          = {{10.1007/978-3-642-37192-9_58}},
  volume       = {{7835}},
  year         = {{2013}},
}