@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}}, } @inbook{20078, author = {{Seifried, A. and Ober-Blöbaum, S.}}, booktitle = {{Dependability of Self-Optimizing Mechatronic Systems}}, editor = {{Gausemeier, Jürgen and Rammig, Franz Josef and Schäfer, Wilhelm and Sextro, Walter}}, isbn = {{978-3-642-53741-7}}, pages = {{77--85}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Optimal Control with Uncertainty}}}, doi = {{10.1007/978-3-642-53742-4_3}}, year = {{2014}}, } @inbook{20083, author = {{Trächtler, Ansgar and Hölscher, Christian and Rasche, Christoph and Priesterjahn, Claudia and Zimmer, Detmar and Henning Keßler, Jan and Stahl, Katharina and Flaßkamp, Kathrin and Vaßholz, Mareen and Krüger, Martin and Dellnitz, Michael and Iwanek, Peter and Reinold, Peter and Hartmann, Philip and Meyer, Tobias and Sextro, Walter}}, booktitle = {{Dependability of Self-Optimizing Mechatronic Systems}}, editor = {{Gausemeier, Jürgen and Josef Rammig, Franz and Schäfer, Wilhelm and Sextro, Walter}}, isbn = {{978-3-642-53741-7}}, pages = {{1--24}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Introduction to Self-optimization and Dependability}}}, doi = {{10.1007/978-3-642-53742-4_1}}, year = {{2014}}, } @inbook{20084, author = {{Seifried, Albert and Trächtler, Ansgar and Kleinjohann, Bernd and Heinzemann, Christian and Rasche, Christoph and Priesterjahn, Claudia and Steenken, Dominik and Ramming, Franz-Josef} and Wehrheim, Heike and Henning Keßler, Jan and Gausemeier, J{ü}rgen and Stahl, Katharin and Flaßkamp, Kathrin and Witting, Katrin and Kleinjohann, Lisa and Porrmann, Mario and Krüger, Martin and Dellnitz, Michael and Iwanek, Peter and Reinold, Peter and Hartmann, Philip and Dorociak, Rafal and Timmermann, Robert and Korf, Sebastian and Groesbrink, Stefan and Ziegert, Steffen and Xie, Tao and Meyer, Tobias and Sextro, Walter and Schäfer, Wilhelm and Müller, Wolfgang and Zhao, Yuhong}}, booktitle = {{Dependability of Self-Optimizing Mechatronic Systems}}, editor = {{Gausemeier, J{ü}rgen and Josef Rammig, Franz and Schäfer, Wilhelm and Sextro, Walter}}, isbn = {{978-3-642-53741-7}}, pages = {{37--171}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Methods of Improving the Dependability of Self-optimizing Systems}}}, doi = {{10.1007/978-3-642-53742-4_3}}, 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}}, } @inproceedings{20142, author = {{Wachsmuth, Henning and Trenkmann, Martin and Stein, Benno and Engels, Gregor and Palakarska, Tsvetomira}}, booktitle = {{Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics}}, pages = {{115–127}}, title = {{{A Review Corpus for Argumentation Analysis}}}, year = {{2014}}, } @article{27975, author = {{Carbohydrate Quality Consortium, International and Jenkins, DJ and Willett, WC and Astrup, A and Augustin, LS and Baer-Sinnott, S and Barclay, AW and Björck, I and Brand-Miller, JC and Brighenti, F and Buyken, Anette and Ceriello, A and Kendall, CW and La Vecchia, C and Livesey, G and Liu, S and Poli, A and Riccardi, G and Rizkalla, SW and Sievenpiper, JL and Trichopoulou, A and Wolever, TM}}, issn = {{0007-1145}}, journal = {{Br J Nutr}}, number = {{2}}, pages = {{380--382}}, title = {{{Glycaemic index: did Health Canada get it wrong? Position from the International Carbohydrate Quality Consortium (ICQC).}}}, doi = {{10.1017/s0007114513003905}}, volume = {{111}}, year = {{2014}}, } @article{27977, author = {{Pei, Z and Flexeder, C and Fuertes, E and Standl, M and Buyken, Anette and Berdel, D and von Berg, A and Lehmann, I and Schaaf, B and Heinrich, J and and LISAplus Study Group, GINIplus}}, issn = {{0250-6807}}, journal = {{Ann Nutr Metab}}, number = {{1}}, pages = {{60--70}}, title = {{{Food intake and overweight in school-aged children in Germany: Results of the GINIplus and LISAplus studies.}}}, doi = {{10.1159/000362694}}, volume = {{64}}, year = {{2014}}, } @techreport{2802, author = {{Eymann, T. and Kundisch, Dennis}}, pages = {{367--376}}, title = {{{Are Requirements for Graduates of Master and PhD Programs in Business and Information Systems Engineering Changing?}}}, volume = {{6 (6)}}, year = {{2014}}, } @techreport{2804, author = {{Eymann, T. and Kundisch, Dennis and Recker, J.}}, pages = {{115--126}}, title = {{{Should I Stay or Should I Go}}}, volume = {{6 (2)}}, year = {{2014}}, } @article{28101, author = {{Gausemeier, J {\ "u} rgen and Iwanek, Peter and Va {\ ss} Holz, Mareen and Reinhart, Felix}}, journal = {{Industry Management}}, title = {{{Self-optimization in mechanical and plant engineering}}}, volume = {{2014/6}}, year = {{2014}}, } @book{28102, author = {{Br {\ "o} kelmann, Jan}}, publisher = {{Heinz Nixdorf Institute, Universit {\ "a} t Paderborn}}, title = {{{Systematics of the virtual commissioning of automated production systems}}}, volume = {{344}}, year = {{2014}}, } @article{28134, author = {{Eckelt, Daniel and Gausemeier, J {\ "u} rgen and Peter, Stefan}}, journal = {{10th symposium f { \ "u} r Foresight and Technology Planning}}, pages = {{333--344}}, title = {{{Holistic product protection management - approach to developing future- robust protection concepts }}}, volume = {{334}}, year = {{2014}}, } @inproceedings{28136, abstract = {{In order to achieve a sustainable competitive advantage, technology-oriented companies are more than ever asked to identify potentials of technologies for future business at an early stage and to convert them into innovations. Emergent technologies in particular have a high potential for radical innovations. However, the high innovation potential is offset by high market and technology uncertainties, which are caused by incomplete knowledge of the technology potential and development as well as of potential application contexts. In connection with emergent technologies, the finding of potential - i.e. the generation of knowledge regarding the potentials - is essential, as it lays the foundation for the search for potential application contexts. At the same time, this represents a challenge, since conventional market research approaches only have a limited effect here. The question that arises is how technology potentials can be derived in a discursive way. Furthermore, we hypothesize that the TRIZ approach has great potential for this: (1) In a reversal of the TRIZ logic, we see a way of accessing the TRIZ knowledge base via an analogy; (2) In this way, contradictions within the meaning of TRIZ can be determined, which can be addressed by the technology; (3) A continuous specification of the contradictions represents a possibility to infer technology potentials. The present article presents an approach developed at the Heinz Nixdorf Institute for a TRIZ-based potential finding within the framework of technology-induced innovation processes. The approach comprises the three phases of technology analysis, technology foresight and technology potential analysis. Based on the analysis of the current performance of the technology, the future performance is anticipated using the TRIZ development pattern. By reversing the TRIZ logic, technology potentials are finally determined. }}, author = {{Wall, Marina and Gausemeier, J {\ and Peter, Stefan}}, editor = {{Gausemeier, J { \ "u} rgen}}, pages = {{95 -- 123}}, publisher = {{publishing series of the Heinz Nixdorf Institute, Paderborn}}, title = {{{TRIZ-based potential finding in technology-induced innovation processes}}}, year = {{2014}}, }