The future of complexity engineering

[1] Frei R., Di Marzo Serugendo G., Concepts in complexity engineering, Int. J. of Bio-Inspired Computation, vol. 3, no. 2, pp. 123–139, 2011 http://dx.doi.org/10.1504/IJBIC.2011.03991110.1504/IJBIC.2011.039911Search in Google Scholar

[2] Frei R. Di Marzo Serugendo G., Advances in complexity engineering, Int. J. of Bio-Inspired Computation, vol. 3, no. 4, pp. 199–212, 2011 http://dx.doi.org/10.1504/IJBIC.2011.04114410.1504/IJBIC.2011.041144Search in Google Scholar

[3] Ulieru M., Doursat R., Emergent engineering: A radical paradigm shift, J. of Autonomous and Adaptive Communications Systems, vol. 4, no. 1, pp. 39–60, 2011 http://dx.doi.org/10.1504/IJAACS.2011.03774810.1504/IJAACS.2011.037748Search in Google Scholar

[4] Frei R., Whitacre J., Degeneracy and networked buffering: principles for supporting emergent evolvability in agile manufacturing systems, Accepted for publication in Journal of Natural Computing — Special issue on Engineering Emergence, 2011 10.1007/s11047-011-9295-4Search in Google Scholar

[5] Penn A., Watson R., Kraaijeveld A., Webb J., Systems aikido: A novel approach to managing natural systems, in 12th Int. Conf. on Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE XII), (Odense, Denmark), pp. 577–578, 2010 Search in Google Scholar

[6] Stepney S., Polack F., Turner H., Engineering emergence, in 11th IEEE Int. Conf. on Engineering of Complex Computer Systems (ICECCS), (Stanford, California, USA), 2006 Search in Google Scholar

[7] Bar-Yam Y., When systems engineering fails — toward complex systems engineering, in IEEE Int. Conf. on Systems, Man & Cybernetics (SMC), vol. 2, (Washington DC, USA), pp. 2021–2028, 2003 Search in Google Scholar

[8] Bar-Yam Y., Making things work: solving complex problems in a complex world. Cambridge, MA, USA: NECSI Knowledge Press, 2004 Search in Google Scholar

[9] Holland J., Hidden Order: How Adaptation Builds Complexity. Reading, MA, USA: Addison-Wesley, 1995 Search in Google Scholar

[10] Gell-Mann M., What is complexity?, In Complexity, vol. 1, New York, USA: John Wiley and Sons, Inc., 1995 10.1002/cplx.6130010105Search in Google Scholar

[11] Grobbelaar S., Ulieru M., Complex networks as control paradigm for complex systems, in IEEE Int. Conf. on Systems Man and Cybernetics (SMC), (Montreal, Canada), pp. 4069–4074, 2007 10.1109/ICSMC.2007.4414262Search in Google Scholar

[12] Kernbach S., Schmickl T., Timmis J., Collective adaptive systems: Challenges beyond evolvability, in Workshopon FET Proactive: Fundamentals of Collective Adaptive Systems, (Brussels, Belgium), 2009 Search in Google Scholar

[13] Kernbach S., Handbook of Collective Robotics: Fundamentals and Challenges. Singapore: Pan Stanford Publishing, 2011 Search in Google Scholar

[14] Frei R., Tiwari A., McWilliam R., Purvis A., Selfhealing technologies, IEEE Transactions on systems, Man and Cybernetics, Part C: Applications and Reviews, 2012 Search in Google Scholar

[15] Frei R., Self-organisation in Evolvable Assembly Systems. PhD thesis, Department of Electrical Engineering, Faculty of Science and Technology, Universidade Nova de Lisboa, Portugal, 2010 Search in Google Scholar

[16] Gross R., Dorigo M., Self-assembly at the macroscopic scale, Proceedings of the IEEE, vol. 96, pp. 1490–1508, sept. 2008 http://dx.doi.org/10.1109/JPROC.2008.92735210.1109/JPROC.2008.927352Search in Google Scholar

[17] Camazine S., Deneubourg J.-L., Franks N., Sneyd J., et al, Self-organization in biological systems, Princeton, NJ, USA: Princeton University Press, 2001 Search in Google Scholar

[18] Kephart J., Chess D., The vision of autonomic computing, IEEE Computer, vol. 36, no. 1, pp. 41–50, 2003 http://dx.doi.org/10.1109/MC.2003.116005510.1109/MC.2003.1160055Search in Google Scholar

[19] Fernandez-Marquez J., Di Marzo Serugendo G., Montagna S., Viroli M., et al., Description and composition of bio-inspired design patterns: a complete overview, To appear in Natural Computing Journal, 2012 10.1007/s11047-012-9324-ySearch in Google Scholar

[20] Fernandez-Marquez J., Di Marzo Serurendo G., Montagna S., BIO-CORE: Bio-inspired selforganising mechanisms core, In Int. ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics), (York, UK), 2011 10.1007/978-3-642-32711-7_5Search in Google Scholar

[21] Cuesta C., Perez-Sotelo J., Ossowski S., Selforganising adaptive structures: the Shifter experience, ERCIM News, vol. 2011, pp. 35–36, Apr. 2011 Search in Google Scholar

[22] Perez-Sotelo J., Cuesta C., Ossowski S., Adaptation Patterns in Multi-Agent Architectures: the Gathering Pattern, in Int. Workshop on Variability, Adaptation and Dynamism in software systems and services (VADER 2011) — OnTheMove Federated Conferences, (Crete, Greece), 2011 10.1007/978-3-642-25126-9_80Search in Google Scholar

[23] Pazat J.-L., Priol T., Tedeschi C., Towards a Chemistry-Inspired Middleware to Program the Internet of Services, ERCIM News, vol. 2011, pp. 34–35, Apr. 2011 Search in Google Scholar

[24] Di Napoli C., Giordano M., Németh Z., Tonellotto N., Using chemical reactions to model servicecomposition, In Int. workshop on Self-organizing architectures (SOAR), (New York, USA), pp. 43–50, ACM, 2010 10.1145/1809036.1809047Search in Google Scholar

[25] Zambonelli F., Self-aware pervasive service ecosystems, in European Future Technologies Conference and Exhibition (FET) — Science Beyond Fiction, (Budapest, Hungary), 2011 Search in Google Scholar

[26] Christensen D.J., Campbell J., Stoy K., Anatomybased organization of morphology and control in selfreconfigurable modular robots, Neural Computing and Applications (NCA), vol. 19, no. 6, pp. 787–805, 2010 http://dx.doi.org/10.1007/s00521-010-0387-310.1007/s00521-010-0387-3Search in Google Scholar

[27] Hauert S., Leven S., Varga M., Ruini F., et al., Reynolds flocking in reality with fixed-wing robots: communication range vs. maximum turning rate, in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2011 10.1109/IROS.2011.6095129Search in Google Scholar

[28] Hu H., Oyekan J., Gu D., A school of robotic fish for pollution detection in port, in Biologically Inspired Robotics (Y. Liu and D. Sun, eds.), pp. 85–104, CRC Press, 2012 Search in Google Scholar

[29] O’Grady R., Pinciroli C., Gross R., Christensen A., Swarmbots to the rescue, in Advances in artificial Life. Darwin Meets von Neumann (G. Kampis, I. Karsai, and E. Szathmary, eds.), vol. 5777 of LNCS, pp. 165–172, Springer Berlin/Heidelberg, 2011 10.1007/978-3-642-21283-3_21Search in Google Scholar

[30] Erbas M., Winfield A., On the Emergence of Structure in Behaviours Evolved Through EmbodiedImitation in a Group of Robots, in European Conf. on Artificial Life (ECAL), (Paris, France), pp. 218–225, 2011 Search in Google Scholar

[31] Stranieri A., Ferrante E., Turgut A., Trianni V., Self-Organized Flocking with a Heterogeneous Mobile Robot Swarm, in European Conf. on Artificial Life (ECAL), (Paris, France), pp. 789–796, 2011 Search in Google Scholar

[32] Ngouabeu A., Miyashita S., Fuechslin R., Nakajima K., et al., Self-organized segregation effect on selfassembling robots, In 12th Int. Conf. on Artificial Life (ALIFE XII), (Odense, Denmark), pp. 232–238, 2010 Search in Google Scholar

[33] Floreano D., Husbands P., Nolfi S., Chapter 61: Evolutionary robotics, In Handbook of robotics (B. Siciliano and O. Khatib, eds.), pp. 1423–1452, Springer Berlin Heidelberg, 2008 10.1007/978-3-540-30301-5_62Search in Google Scholar

[34] Braitenberg V., Vehicles: Experiments in synthetic psychology. Cambridge, MA, USA: MIT Press, 1984 Search in Google Scholar

[35] Stoy K., Christensen D., Brandt D., Self-Reconfigurable Robots: An Introduction. MIT Press, 2010 Search in Google Scholar

[36] Kernbach S., Meister E., Scholz O., Humza R., et al., Evolutionary robotics: The next-generationplatform for on-line and on-board artificial evolution, In IEEE Congress on Evolutionary Computation (CEC), pp. 1079–1086, 2009 10.1109/CEC.2009.4983066Search in Google Scholar

[37] Timmis J., Nunes L. de Castro, Artificial Immune Systems: A New Computational Intelligence Approach. Berlin Heidelberg: Springer, 2002 Search in Google Scholar

[38] Ye J., Dobson S., McKeever S., Situation identification techniques in pervasive computing: A review, Pervasive and Mobile Computing, vol. 8, no. 1, pp. 36–66, 2012 http://dx.doi.org/10.1016/j.pmcj.2011.01.00410.1016/j.pmcj.2011.01.004Search in Google Scholar

[39] Rieffel J., Trimmer B., Body/brain co-evolution in soft robots, in 12th Int. Conf. on Artificial Life (ALIFE XII), (Odense, Denmark), pp. 257–258, 2010 Search in Google Scholar

[40] Knox D., Rieffel J., Scalable Co-Evolution of Soft Robot Properties and Gaits, In European Conf. on Artificial Life (ECAL), (Paris, France), pp. 416–422, 2011 Search in Google Scholar

[41] Schmickl T., Hamann H., Stradner J., Mayet R., et al., Complex taxis-behavior in a novel bio-inspired robot controller, In 12th Int. Conf. on Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE XII), (Odense, Denmark), pp. 648–655, 2010 Search in Google Scholar

[42] Ieropoulos I., Greenman J., Melhuish C., Horsfield I., Ecobot-iii: a robot with guts, In 12th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE XII), (Odense, Denmark), pp. 733–740, 2010 Search in Google Scholar

[43] Snezhko A., Aranson I., Magnetic manipulation of self-assembled colloidal asters, Nature Materials, vol. 10, no. 9, pp. 698–703, 2011 http://dx.doi.org/10.1038/nmat308310.1038/nmat3083Search in Google Scholar PubMed

[44] Maune H., Si-Ping H., Barish R., Bockrath M., et al., Selfassembly of carbon nanotubes into twodimensional geometries using dna origami templates, Nature Nanotechnology, vol. 5, pp. 61–66, 2010 http://dx.doi.org/10.1038/nnano.2009.31110.1038/nnano.2009.311Search in Google Scholar PubMed

[45] Jarrn-Horng L., Chen C.-S., Rummeli M., Zeng Z.-Y., Self-assembly formation of multi-walled carbon nanotubes on gold surfaces, Nanoscale, vol. 2, pp. 2835–2840, 2010 http://dx.doi.org/10.1039/c0nr00256a10.1039/c0nr00256aSearch in Google Scholar PubMed

[46] Sayama H., Swarm chemistry, Artificial Life, vol. 15, no. 1, pp. 105–114, 2009 http://dx.doi.org/10.1162/artl.2009.15.1.1510710.1162/artl.2009.15.1.15107Search in Google Scholar PubMed

[47] Sayama H., Swarm chemistry evolving, in 12th Int. Conf. on the Synthesis and Simulation of Living Systems (ALIFE XII), (Odense, Denmark), pp. 32–33, 2010 Search in Google Scholar

[48] Cavalcanti A., Shirinzadeh B., Freitas R., Hogg T., Nanorobot architecture for medical target identification, Nanotechnology, vol. 19, no. 1, pp. 1–15, 2008 http://dx.doi.org/10.1088/0957-4484/19/01/01510310.1088/0957-4484/19/01/015103Search in Google Scholar

[49] Zak D., Aderem A., Systems biology of innate immunity, Immunological Reviews, vol. 227, no. 1, pp. 264–282, 2009 http://dx.doi.org/10.1111/j.1600-065X.2008.00721.x10.1111/j.1600-065X.2008.00721.xSearch in Google Scholar PubMed PubMed Central

[50] Deisboeck T., Personalizing medicine: a systems biology perspective, Molecular Systems Biology, vol. 5, no. 249, pp. 1–3, 2009 10.1038/msb.2009.8Search in Google Scholar PubMed PubMed Central

[51] Doursat R., Sayama H., Michel O., eds., Morphogenetic Engineering: Toward Programmable Complex Systems. NECSI Studies on Complexity, Springer Berlin Heidelberg, 2011 10.1007/978-3-642-33902-8Search in Google Scholar

[52] Doursat R., Programmable architectures that are complex and self-organised: From morphogenesis to engineering, In 11th Int. Conf. on the Synthesis and Simulation of Living Systems (S. Bullock, J. Noble, R. Watson, and M. Bedau, eds.), pp. 181–188, MIT Press, 2008 Search in Google Scholar

[53] Doursat R., Organically grown architectures: Creating decentralized, autonomous systems by embryomorphic engineering, in Organic computing (R. Wuertz, ed.), pp. 167–200, Springer-Verlang Berlin Heidelberg, 2008 10.1007/978-3-540-77657-4_8Search in Google Scholar

[54] Bhalla N., Bentley P., Vize P., Jacob C., Staging the Self-Assembly Process Using Morphological Information, In European Conf. on Artificial Life (ECAL), (Paris, France), pp. 93–100, 2011 Search in Google Scholar

[55] Schmidt M., Dando M., Deplazes A., Dealing with the outer reaches of synthetic biology biosafety, biosecurity, IPR and ethical challenges of chemical synthetic biology, In Chemical Synthetic Biology (P. Luisi and C. Chiarabelli, eds.), pp. 321–342,, Wiley 2011 10.1002/9780470977873.ch13Search in Google Scholar

[56] Stefanovic D., Emerging models of computation: Directions in molecular computing, In Software-Intensive Systems and New Computing Paradigms (M. Wirsing, J. Banatre, M. Hoelzl, and A. Rauschmayer, eds.), vol. 5380 of LNCS, pp. 255–265, Springer Berlin/Heidelberg, 2008 10.1007/978-3-540-89437-7_16Search in Google Scholar

[57] Prasanna de Silva A., Molecular computing: A layer of logic, Nature, vol. 454, no. July, pp. 417–418, 2008 http://dx.doi.org/10.1038/454417a10.1038/454417aSearch in Google Scholar PubMed

[58] Zauner K.-P., Molecular information technology, Critical Reviews in Solid State and Materials Sciences, vol. 30, no. 1, pp. 33–69, 2005 http://dx.doi.org/10.1080/1040843059091838710.1080/10408430590918387Search in Google Scholar

[59] De Castro L., Fundamentals of Natural Computing, New York, USA: Chapman & Hall/CRC Computer and Information Sciences, 2006 Search in Google Scholar

[60] Rasmussen S., Bedau M., Chen L., Deamer D., et al., Protocells, Bridging Nonliving and Living Matter. Cambridge, MA, USA: MIT Press, 2008 10.7551/mitpress/9780262182683.001.0001Search in Google Scholar

[61] Hanczyc M., Structure and the synt[148] hesis of life, Architectural Design, vol. 81, no. 2, pp. 26–33, 2011 http://dx.doi.org/10.1002/ad.120910.1002/ad.1209Search in Google Scholar

[62] Chen I., The emergence of cells during the origin of life, Science, vol. 314, pp. 1558–1559, 2006 http://dx.doi.org/10.1126/science.113754110.1126/science.1137541Search in Google Scholar PubMed

[63] Maurer S., DeClue M., Albertsen A., Doerr M., et al., Interactions between catalysts and amphiphilic structures and their implications for a protocell model, ChemPhysChem, vol. 12, no. 4, pp. 828–835, 2011 http://dx.doi.org/10.1002/cphc.20100084310.1002/cphc.201000843Search in Google Scholar PubMed

[64] Gibson D., Glass J., Lartigue C., Noskov V., et al., Creation of a Bacterial Cell Controlled by a Chemically Synthesized Genome, Science, vol. 329, pp. 52–56, May 2010 http://dx.doi.org/10.1126/science.119071910.1126/science.1190719Search in Google Scholar PubMed

[65] Kowalski H., First self-replicating synthetic bacterial cell, http://www.jcvi.org/cms/press/pressreleases/fulltext/article/first-self-replicatingsynthetic-bacterialcell-constructed-by-j-craigventer-instituteresearcher, May 20, 2010 Search in Google Scholar

[66] Kuruma Y., Suzuki T., Yoshida M., Ueda T., Artificial Organelle for Energy Production in Artificial Cell, In European Conf. on Artificial Life (ECAL), (Paris, France), pp. 438, 2011 Search in Google Scholar

[67] Plasson R., Montagne K., Padirac A., Fujii T., et al., A DNA toolbox for engineering in vitro life-like behaviors, In European Conf. on Artificial Life (ECAL), (Paris, France), pp. 662–663, 2011 Search in Google Scholar

[68] Damer B., Newman P., Gordon R., Barbalet T., et al., The EvoGrid: A framework for distributed artificial chemistry cameo simulations supporting computational origins of life endeavors, in 12th Int. Conf. on Artificial Life (ALIFE XII), (Odense, Denmark), pp. 73–79, 2010 Search in Google Scholar

[69] Gras R., Golestani A., Hosseini M., Khater M., et al., EcoSim: an individual-based platform for studying evolution, In European Conf. on Artificial Life (ECAL), (Paris, France), pp. 284–285, 2011 Search in Google Scholar

[70] Cronin L., Krasnogor N., Davis B., Alexander C., et al., The imitation game — a computational chemical approach to recognizing life, Nat. Biotech., vol. 24, pp. 1203–1206, 2006 http://dx.doi.org/10.1038/nbt1006-120310.1038/nbt1006-1203Search in Google Scholar PubMed

[71] Turing A., Computing machinery and intelligence, Mind, vol. 59, pp. 433–460, 1950 http://dx.doi.org/10.1093/mind/LIX.236.43310.1093/mind/LIX.236.433Search in Google Scholar

[72] Pfeifer R., Scheier C., Understanding intelligence. Cambridge, MA, USA: The MIT Press, 1999 Search in Google Scholar

[73] Windsor H., Bullet proof tire has sponge rubber tube, Popular Mechanics, vol. December, pp. 872–873, 1934 Search in Google Scholar

[74] Floud R., Johnson P., eds., The Cambridge Economic History of Modern Britain, Volume 1, Industrialisation 1700–1860. Cambridge, UK: Cambridge University Press, 2004 10.1017/CHOL9780521820363Search in Google Scholar

[75] Hao D., The penetrability and the self-sharpening of the ploughshare, Transactions of the Chinese Society of Agricultural Machinery, vol. 1, 1981 Search in Google Scholar

[76] Emert R., Piria I., Toth A., A study on the effect of self-sharpening plough-shares, Agrotehnicar, vol. 33, no. 1, pp. 8–10, 1987 Search in Google Scholar

[77] Zhuk Y., Hardide (trademark): advanced nanostructured CVD coating, Int. J. of Microstructure and Materials Properties, vol. 2, no. 1, pp. 90–98, 2007 http://dx.doi.org/10.1504/IJMMP.2007.01294210.1504/IJMMP.2007.012942Search in Google Scholar

[78] Otsuka K., Wayman C., Shape Memory Materials. Cambridge, UK: Cambridge University Press, 1999 Search in Google Scholar

[79] Technica A., One-molecule car drives on electron fuel, wired.com/wired science, vol. November, no. 10, 2011 Search in Google Scholar

[80] Kudernac T., Ruangsupapichat N., Parschau M., Macia B., et al., Electrically driven directional motion of a four-wheeled molecule on a metal surface, Nature, vol. 479, no. November, pp. 208–211, 2011 http://dx.doi.org/10.1038/nature1058710.1038/nature10587Search in Google Scholar PubMed

[81] Cheng J., Chung T., Self-sharpening phenomenon arisen by ion-exchange membranes in multi-compartment free-flow isoelectric focusing IEMFFIEF, Chemical Engineering Science, vol. 64, no. 24, pp. 5222–5230, 2009 http://dx.doi.org/10.1016/j.ces.2009.08.04010.1016/j.ces.2009.08.040Search in Google Scholar

[82] Henderson M., Self-repairing car paint ‘makes scrapes vanish’, The Times, vol. March 13, 2009 Search in Google Scholar

[83] Cho S., White S., Braun P., Self-healing polymer coatings, Advanced Materials, vol. 21, no. 6, pp. 645–649, 2009 http://dx.doi.org/10.1002/adma.20080200810.1002/adma.200802008Search in Google Scholar

[84] Hager M., Greil P., Leyens C., van der Zwaag S., et al., Self-healing materials, Advanced Materials, vol. 22, no. 47, pp. 5424–5430, 2010 http://dx.doi.org/10.1002/adma.20100303610.1002/adma.201003036Search in Google Scholar PubMed

[85] Gabelli A., Kahlman L., Bearings that heal themselves, Evolution, Business and Technology, vol. 3, 1999 Search in Google Scholar

[86] Metzner M., Self-healing surfaces, Fraunhofer Research News, vol. 8, pp. 2–3, 2009 Search in Google Scholar

[87] Pelletier M., Brown R., Shukla A., Bose A., Selfhealing concrete with a microencapsulated healing agent, tech. rep., University of Rhode Island, Kingston, RI, USA, 2011 Search in Google Scholar

[88] Blaiszik B., Kramer S., Olugebefola S., Moore J., et al., Self-healing polymers and composites, Annual Review of Materials Research, vol. 40, no. 1, pp. 179–211, 2010 http://dx.doi.org/10.1146/annurev-matsci-070909-10453210.1146/annurev-matsci-070909-104532Search in Google Scholar

[89] Wool R., Self-healing materials: a review, Soft Matter, vol. 4, pp. 400–418, 2008 http://dx.doi.org/10.1039/b711716g10.1039/b711716gSearch in Google Scholar PubMed

[90] Caruso M., Schelkopf S., Jackson A., Landry A., et al., Microcapsules containing suspensions of carbon nanotubes, J. of Materials Chemistry, vol. 19, pp. 6093–6096, 2009 http://dx.doi.org/10.1039/b910673a10.1039/b910673aSearch in Google Scholar

[91] Kelion L., Self-healing electronic chip tests may aid space travel, BBC News Technology, vol. December, no. 22, 2011 Search in Google Scholar

[92] Blaiszik B., Kramer S., Grady M., McIlroy D., et al., Autonomic restoration of electrical conductivity, Advanced Materials, pp. n/a–n/a, 2011 10.1002/adma.201102888Search in Google Scholar PubMed

[93] Samie M., Dragffy G., Pipe T., Novel Bio-Inspired Self-Repair Algorithm for Evolvable Fault Tolerant Hardware Systems, in Genetic and Evolutionary Computation Conference (GECCO), (Montreal, Quebec, Canada), pp. 2143–2148, 2009 10.1145/1570256.1570291Search in Google Scholar

[94] Jones D., McWilliam R., Purvis A., Design of selfassembling, self-repairing 3d irregular cellular automata, In New Advanced Technologies (A. Lazinica, ed.), pp. 373–394, InTech, 2010 Search in Google Scholar

[95] Williams H., Trask R., Bond I., Self-healing sandwich panels: Restoration of compressive strength after impact, Composites Science and Technology, vol. 68, no. 15–16, pp. 3171–3177, 2008 http://dx.doi.org/10.1016/j.compscitech.2008.07.01610.1016/j.compscitech.2008.07.016Search in Google Scholar

[96] Demerjian B., Airplane heal thyself? self-repairing aircraft could improve air safety, wired.com/autopia, vol. May, no. 20, 2008 Search in Google Scholar

[97] McKeegan N., Odysseus: Aurora’s radical, unlimited endurance, solar powered aircraft, gizmag.com, vol. May, no. 1, p. 9261, 2008 Search in Google Scholar

[98] Botsis T., Demiris G., Pedersen S., Hartvigsen G., Home telecare technologies for the elderly, J Telemed Telecare, vol. 14, no. 7, pp. 333–337, 2008 http://dx.doi.org/10.1258/jtt.2008.00700210.1258/jtt.2008.007002Search in Google Scholar PubMed

[99] Eisenman S., Lu H., Campbell A., Halo: Managing node rendezvous in opportunistic sensor networks, In Distributed Computing in Sensor Systems (R. Rajaraman, T. Moscibroda, A. Dunkels, and A. Scaglione, eds.), vol. 6131 of LNCS, pp. 273–287, Springer Berlin/Heidelberg, 2010 10.1007/978-3-642-13651-1_20Search in Google Scholar

[100] Rogers A., Corkill D., Jennings N., Agent technologies for sensor networks, IEEE Intelligent Systems, vol. 24, pp. 13–17, 2009 http://dx.doi.org/10.1109/MIS.2009.2210.1109/MIS.2009.22Search in Google Scholar

[101] Fernandez-Marquez J., Arcos J., Di Marzo Serugendo G., A decentralized approach for detecting dynamically changing diffuse event sources in noisy WSN environments, to appear in Applied Artificial Intelligence Journal. Taylor & Francis, 2011 10.1109/SASO.2010.30Search in Google Scholar

[102] Clark H., Sandia’s self-guided bullet prototype can hit target a mile away, Sandia Labs Press Rekeases, vol. January, no. 30, 2012 Search in Google Scholar

[103] Das T., Mohan P., Padmanabhan V., Ramjee R., et al., PRISM: platform for remote sensing using smartphones, in 8th Int. Conf. on Mobile systems, applications, and services (MobiSys), (New York, NY, USA), pp. 63–76, ACM, 2010 10.1145/1814433.1814442Search in Google Scholar

[104] Crainic T. G., Gendreau M., Potvin J.-Y., Intelligent freight-transportation systems: Assessment and the contribution of operations research, Transportation Research Part C: Emerging Technologies, vol. 17, no. 6, pp. 541–557, 2009 http://dx.doi.org/10.1016/j.trc.2008.07.00210.1016/j.trc.2008.07.002Search in Google Scholar

[105] Dimitrakopoulos G., Demestichas P., Intelligent transportation systems, IEEE Vehicular Technology Magazine, vol. 5, no. 1, pp. 77–84, 2010 http://dx.doi.org/10.1109/MVT.2009.93553710.1109/MVT.2009.935537Search in Google Scholar

[106] Wegener A., Hellbrueck H., Fischer S., Hendriks B., et al., Designing a Decentralized Traffic Information System — AutoNomos, In 16. GTI/GI — Fachtagung Kommunikation in verteilten Systemen (KiVS), (Springer Series “Informatik Aktuell”), pp. 309–315, 2009 10.1007/978-3-540-92666-5_29Search in Google Scholar

[107] Wuertz R., ed., Organic computing. Understanding Complex Systems, Berlin Heidelberg: Springer, 2008 10.1007/978-3-540-77657-4Search in Google Scholar

[108] Ulieru M., Verdon J., Organizational transformation in the digital economy, In 7th IEEE Int. Conf. on Industrial Informatics (INDIN), pp. 17–24, 2009 10.1109/INDIN.2009.5195773Search in Google Scholar

[109] Aarts E., de Ruyter B., New research perspectives on ambient intelligence, J. Ambient Intell. Smart Environ., vol. 1, pp. 5–14, 2009 10.3233/AIS-2009-0001Search in Google Scholar

[110] Weiser M., The computer for the twenty-first century, Scientific American, vol. 165, no. 3, pp. 94–104, 1991 http://dx.doi.org/10.1038/scientificamerican0991-9410.1038/scientificamerican0991-94Search in Google Scholar

[111] Satyanarayanan M., Pervasive computing: Vision and challenges, IEEE Personal Communications, vol. 8, no. 4, pp. 10–17, 2001 http://dx.doi.org/10.1109/98.94399810.1109/98.943998Search in Google Scholar

[112] Mukherjee S., Aarts R., Roovers R., Widdershoven F., et al., AmIware Hardware Technology Drivers of Ambient Intelligence. Philips Research Book Series, Springer Berlin Heidelberg, 2005 10.1007/1-4020-4198-5Search in Google Scholar

[113] Picard R., Affective computing, tech. rep., M.I.T Media Laboratory Perceptual Computing Section Technical Report No. 321, 1995 Search in Google Scholar

[114] Camarinha-Matos L., Paraskakis I., Afsarmanesh H., eds., Leveraging Knowledge for Innovation in Collaborative Networks, IFIP Advances in Information and Communication Technology, vol. 307. Berlin: Springer-Verlag, 2009 10.1007/978-3-642-04568-4Search in Google Scholar

[115] Pouly M., Huber C., Collaborative networks: Human aspects and corresponding it support, in Int. Conf. on Computer Supported Cooperative Work in Design, (Los Alamitos, CA, USA), pp. 576–581, IEEE Computer Society, 2009 10.1109/CSCWD.2009.4968121Search in Google Scholar

[116] Wu C., Chang E., Exploring a digital ecosystem conceptual model and its simulation prototype, in IEEE Int. Symp. on Industrial Electronics (ISIE), (Vigo, Spain), pp. 2933–2938, 2007 10.1109/ISIE.2007.4375080Search in Google Scholar

[117] Ulieru M., Enabling the sos network, in IEEE Int. Conf. on Systems, Man and Cybernetics (SMC), (Singapore), pp. 30–35, 2008 10.1109/ICSMC.2008.4811246Search in Google Scholar

[118] Pluta W., Heim mit Hirn, Bild der Wissenschaft, vol. 8, pp. 102–106, 2006 Search in Google Scholar

[119] Karnouskos S., Weidlich A., Ringelstein J., Dimeas A., et al., Monitoring and control for energy efficiency in the smart house, In Energy-Efficient Computing and Networking (N. Hatziargyriou, A. Dimeas, T. Tomtsi, A. Weidlich, et al., eds.), vol. 54 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pp. 197–207, Springer Berlin Heidelberg, 2011 10.1007/978-3-642-19322-4_21Search in Google Scholar

[120] Wagner A., Speiser S., Harth A., Semantic Web Technologies for a Smart Energy Grid: Requirements and Challenges, In Int. Semantic Web Conf. (ISWC), (Shanghai, China), 2010 Search in Google Scholar

[121] Clark A., Pavlovski C. J., Wireless networks for the smart energy grid: application aware networks, In Int. MultiConf. of Engineers and Computer Scientists (IMECS), (Hong Kong), pp. 1243–1248, 2010 Search in Google Scholar

[122] Collier S., Ten steps to a smarter grid, In IEEE Rural Electrical Power Conf. (REPC), (Fort Collins, Colorado, USA), pp. B2–B7, 2009 10.1109/REPCON.2009.4919420Search in Google Scholar

[123] Martini F., Energy comes home, Pictures of the Future (Siemens), vol. Spring, pp. 12–14, 2011 Search in Google Scholar

[124] Reagle J., Good Faith Collaboration, The Culture of Wikipedia. Cambridge, MA, USA: MIT Press, 2010 10.7551/mitpress/8051.001.0001Search in Google Scholar

[125] Christofides E., Muise A., Desmarais S., Information disclosure and control on facebook: Are they two sides of the same coin or two different processes?, CyberPsychology & Behavior, vol. 12, no. 3, pp. 341–345, 2009 http://dx.doi.org/10.1089/cpb.2008.022610.1089/cpb.2008.0226Search in Google Scholar PubMed

[126] Susarla A., Oh J., Tan Y., Social networks and the diffusion of user-generated content: Evidence from youtube, Information Systems Research, 2011 10.1287/isre.1100.0339Search in Google Scholar

[127] Dhurandher S., Singhal S., Aggarwal S., Pruthi P., et al., A swarm intelligence based p2p file sharing protocol using bee algorithm, in IEEE/ACS Int. Conf. on Computer Systems and Applications (AICCSA), pp. 690–696, 2009 10.1109/AICCSA.2009.5069402Search in Google Scholar

[128] Hoh C.-C., Hwang R.-H., P2P File Sharing System over MANET based on Swarm Intelligence: A Cross-Layer Design, in IEEE Wireless Communications and Networking Conf. (WCNC), pp. 2674–2679, March 2007 10.1109/WCNC.2007.497Search in Google Scholar

[129] Forestiero A., Leonardi E., Mastroianni C., Meo M., Self-chord: A bio-inspired p2p framework for selforganizing distributed system, IEEE/ACM Transactions on Networking, vol. 18, no. 5, pp. 1651–1664, 2010 http://dx.doi.org/10.1109/TNET.2010.204674510.1109/TNET.2010.2046745Search in Google Scholar

[130] Simaria A., Vilarinho P., 2-antbal: An ant colony optimisation algorithm for balancing two-sided assembly lines, Computers & Industrial Engineering, vol. 56, no. 2, pp. 489–506, 2009 http://dx.doi.org/10.1016/j.cie.2007.10.00710.1016/j.cie.2007.10.007Search in Google Scholar

[131] Valckenaers P., Hadeli K., Saint Germain B., Verstraete P., et al., Emergent short-term forecasting through ant colony engineering in coordination and control systems, Advanced Engineering Informatics, vol. 20, no. 3, pp. 261–278, 2006 http://dx.doi.org/10.1016/j.aei.2006.01.00710.1016/j.aei.2006.01.007Search in Google Scholar

[132] Gershenson C., Design and control of self-organizing systems. PhD thesis, Faculty of Science and Center Leo Apostel for Interdisciplinary Studies, Vrije Universiteit, Brussels, Belgium, 2007 Search in Google Scholar

[133] Steels L., Towards a theory of emergent functionality, In From Animals to Animats: 1st Int. Conf. on Simulation of Adaptive Behaviour (J.-A. Meyer and S. Wilson, eds.), (Paris, France), pp. 451–461, 1991 Search in Google Scholar

[134] Buchli J., Santini C., Complexity engineering, harnessing emergent phenomena as opportunities for engineering, tech. rep., Santa Fé Institute Complex Systems Summer School, NM, USA, 2005 Search in Google Scholar

[135] Norman D., Kuras M., Engineering complex systems, 2004 Search in Google Scholar

[136] Frei R., Barata J., Distributed systems — from natural to engineered: three phases of inspiration by nature, Int. J. of Bio-inspired Computation, vol. 2, no. 3/4, pp. 258–270, 2010 http://dx.doi.org/10.1504/IJBIC.2010.03309410.1504/IJBIC.2010.033094Search in Google Scholar

[137] Correll N., Mondada F., Modeling self-organized aggregation in a swarm of miniature robots, In Int. Conf. on Robotics and Automation (ICRA), Workshop on Collective Behaviors inspired by Biological and Biochemical Systems, (Rome, Italy), 2007 Search in Google Scholar

[138] Halloy J., Sempo G., Caprari G., Rivault C., et al., Social integration of robots into groups of cockroaches to control self-organized choices, Science, vol. 318, no. 5853, pp. 1155–1158, 2007 http://dx.doi.org/10.1126/science.114425910.1126/science.1144259Search in Google Scholar PubMed

[139] Gross R., Bonani M., Mondada F., Dorigo M., Autonomous self-assembly in swarm-bots, IEEE Transactions on Robotics, vol. 22, no. 6, pp. 1115–1130, 2006 http://dx.doi.org/10.1109/TRO.2006.88291910.1109/TRO.2006.882919Search in Google Scholar

[140] Dorigo M., et al., Swarmanoid: a novel concept for the study of heterogeneous robotic swarms, tech. rep., IRIDIA, 2011 Search in Google Scholar

[141] Ducatelle F., Di Caro G., Gambardella L., Cooperative self-organization in a heterogeneous swarm robotic system, In Genetic and Evolutionary Computation Conference (GECCO), (Portland, Oregon, USA), 2010 10.1145/1830483.1830501Search in Google Scholar

[142] Vincent J., Bogatyreva O., Bogatyrev N., Bowyer A., et al., Biomimetics: its practice and theory, Journal of The Royal Society Interface, vol. 3, no. 9, pp. 471–482, 2006 http://dx.doi.org/10.1098/rsif.2006.012710.1098/rsif.2006.0127Search in Google Scholar

[143] Wallace G., Moulton S., Organic bionics: Molecules, materials and medical devices, Chemistry in Australia, vol. 76, no. 5, pp. 3–8, 2009 Search in Google Scholar

[144] Werner S., Eibl R., Lettenbauer C., Roell M., et al., Innovative, Nonstirred Bioreactors in Scales from Milliliters up to 1000 Liters for Suspension Cultures of Cells using Disposable Bags and Containers — A Swiss Contribution, CHIMIA International Journal for Chemistry, vol. 64, no. 11, pp. 819–823, 2010 http://dx.doi.org/10.2533/chimia.2010.81910.2533/chimia.2010.819Search in Google Scholar

[145] Engelhardt E., Houis S., Gries T., Hilborn J., et al., Suspension-adapted Chinese hamster ovary-derived cells expressing green fluorescent protein as a screening tool for biomaterials, Biotechnol Lett, vol. 31, no. 8, pp. 1143–1149, 2009 http://dx.doi.org/10.1007/s10529-009-9997-110.1007/s10529-009-9997-1Search in Google Scholar

[146] Reeves G., Fraser S., Biological systems from an engineer’s point of view, PLoS Biology, vol. 7, no. 1, pp. 32–35, 2009 http://dx.doi.org/10.1371/journal.pbio.100002110.1371/journal.pbio.1000021Search in Google Scholar

[147] Vaughan R., Sumpter N., Henderson J., Frost A., et al., Experiments in automatic flock control, Journal of Robotics and Autonomous Systems, vol. 31, pp. 109–117, 2000 http://dx.doi.org/10.1016/S0921-8890(99)00084-610.1016/S0921-8890(99)00084-6Search in Google Scholar

[148] Bedau M., McCaskil J., Packard N., Rasmussen S., Living technology: Exploiting life’s principles in technology, Artificial Life, vol. 16, no. 1, pp. 89–97, 2010 http://dx.doi.org/10.1162/artl.2009.16.1.1610310.1162/artl.2009.16.1.16103Search in Google Scholar PubMed

[149] Beal J., Lowell J., Mozeika A., Usbeck K., Using Morphogenetic Models to Develop Spatial Structures, Spatial Computing Workshop (SCW) at IEEE Int. Conf. on Self-Adaptive and Self-Organizing Systems (SASO), Ann Arbor, MI, USA, pp. 85–90, 2011 10.1109/SASOW.2011.17Search in Google Scholar

[150] Beal J., et al., A manifold operator representation for adaptive design, Genetic and Evolutionary Computation Conference (GECCO), Philadelphia, PA, USA, 2012 10.1145/2330163.2330239Search in Google Scholar

[151] Jin Y., Meng Y., Morphogenetic Robotics: An Emerging New Field in Developmental Robotics, IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, vol. 41, no. 2, 145–160, 2011 http://dx.doi.org/10.1109/TSMCC.2010.205742410.1109/TSMCC.2010.2057424Search in Google Scholar