|
Albus J. S.1992. RCS: a reference model architecture for intelligent control. IEEE Computer25(5), 56–59.
Google Scholar
|
|
Albus J. S.1997. The NIST real-time control system (RCS): an approach to intelligent systems research. Journal of Experimental and Theoretical Artificial Intelligence9(2–3), 157–174.
Google Scholar
|
|
aliCE2008. aliCE (agents, languages and infrastructures for complexity engineering) Home. http://alice.unibo.it/xwiki/bin/view/aliCE/.
Google Scholar
|
|
Axtell R. & Epstein J.1997. Distributed Computation of Economic Equilibria via Bilateral Exchange. Technical report, Brookings Institution.
Google Scholar
|
|
Bachrach J., Beal J. & McLurkin J.2010. Composable continuous space programs for robotic swarms. Neural Computing and Applications19(6), 825–847.
Google Scholar
|
|
Baresi L., Bencomo N., Cukic B., Gorla A., Inverardi P., Nier-strasz O., Park S., Smith D., Vogel T., de Lemos R. & Andersson J.2010. Dagstuhl Group c: Process. http://www.dagstuhl.de/Materials/Files/10/10431/10431.SWM12.Slides.ppt.
Google Scholar
|
|
Beal J.2010a. Functional blueprints: an approach to modularity in grown systems. In Proceedings of the Seventh International Conference on Swarm Intelligence (ANTS 2010).
Google Scholar
|
|
Beal J.2010b. Mit Proto. http://stpg.csail.mit.edu/proto.html.
Google Scholar
|
|
Beal J.2011. Software engineering for self-organizing systems. Personal Communication.
Google Scholar
|
|
Beal J. & Knight T. F.Jr2008. Analyzing composability in a sparse encoding model of memorization and association. In Proceedings of the Seventh IEEE International Conference on Development and Learning (ICDL 2008).
Google Scholar
|
|
Becker B., Karsai G., Mankovskii S., Muoller H., Pezze M., Schaofer W., Sousa J. P., Tahvildari L., Tamura G., Villegas N. M. & Wong K.2010. Dagstuhl Group a: Towards Practical Run-Time V&V (for self-adaptive systems). http://www.dagstuhl.de/Materials/Files/10/10431/10431.SWM10.Slides.ppt.
Google Scholar
|
|
Binney J. J., Dowrick N. J., Fisher A. J. & Newman M. E. J.1992. The Theory of Critical Phenomena—An Introduction to the Renormalization Group. Clarendon Press.
Google Scholar
|
|
Boella G., Torre L. v. d. & Verhagen H.2007. Dagstuhl Seminar Proceedings 07122: Normative Multi-agent Systems. LZI Host.
Google Scholar
|
|
Bonabeau E.2002. Agent-based modeling: methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences99(Suppl 3), 7280–7287.
Google Scholar
|
|
Bonabeau E., Dorigo M. & Theraulaz G.1999. Swarm Intelligence: From Natural to Artificial Systems (SFI Studies in the Sciences of Complexity). Oxford University Press.
Google Scholar
|
|
Bonabeau E., Henaux F., Guerin S., Snyers D., Kuntz P. & Theraulaz G.1998. Routing in telecommunications networks with “smart” ant-like agents. In Proceedings of the Second International Workshop on Intelligent Agents for Telecommunications Applications (IATA98), Lecture Notes in AI, 1437, 60–71. Springer.
Google Scholar
|
|
Bongaerts L.1998. Integration of Scheduling and Control in Holonic Manufacturing Systems. PhD thesis, PMA.
Google Scholar
|
|
Booker L.2003. Learning tactics for swarming entities. In Swarming: Network Enabled C4ISR, Inbody, D., Chartier, C., DiPippa, D. & McDonald, B. (eds), 40–48. ASD C3I.
Google Scholar
|
|
Brazier F. M. T., Kephart J. O., Parunak H.V.D. & Huhns M. N.2009. Agents and service-oriented computing for autonomic computing: a research agenda. IEEE Internet Computing13, 82–87.
Google Scholar
|
|
Brooks R. A.1991. Intelligence without representation. Artificial Intelligence47, 139–159.
Google Scholar
|
|
Brueckner S.2000. Return from the Ant: Synthetic Ecosystems for Manufacturing Control. Dr.rer.nat.thesis.
Google Scholar
|
|
Brueckner S., Downs E., Hilscher R. & Yinger A.2008. Self-organizing integration of competing reasoners for information matching. In ECOSOA Workshop at SASO 2008.
Google Scholar
|
|
Brueckner S., Hassas S., Jelasity M. & Yamins D.2007. Engineering Self-Organising Systems. Lecture Notes in AI 3910. Springer.
Google Scholar
|
|
Brueckner S. & Parunak H. V. D.2003. Resource-aware exploration of emergent dynamics of simulated systems. In Autonomous Agents and Multi-Agent Systems (AAMAS 2003), Rosenschein, J. S., Wooldridge, M., Sandholm, T. & Yokoo, M. (eds), ACM, 781–788.
Google Scholar
|
|
Brueckner S. & Parunak H. V. D.2005. Information-driven phase changes in multi-agent coordination. In Workshop on Engineering Self-Organizing Systems (ESOA, at AAMAS 2005), Lecture Notes in AI 3464, Brueckner, S. A., Di Marzo Serugendo, G., Karageorgos, A. & Nagpal, R. (eds). Springer.
Google Scholar
|
|
Brueckner S. A., Di Marzo Serugendo G. & Hales D.2006. Engineering Self-Organising Systems. Lecture Notes in AI 3910. Springer.
Google Scholar
|
|
Brueckner S. A., Di Marzo Serugendo G., Karageorgos A. & Nagpal R.2005. Engineering Self-Organising Systems. Lecture Notes in Computer Science. Springer.
Google Scholar
|
|
Brun Y., Di Marzo Serugendo G., Gqacek C., Giese H., Kienle H., Litoiu M., Mller H., Pezz M. & Shaw M.2009. Engineering self-adaptive systems through feedback loops. In Software Engineering for Self-Adaptive Systems, Cheng, B. H. C., de Lemos, R., Giese, H., Inverardi, P. & Magee, J. (eds), 5525Springer, 128–145.
Google Scholar
|
|
Camazine S., Deneubourg J.-L., Franks N. R., Sneyd J., Theraulaz G. & Bonabeau E.2001. Self-Organization in Biological Systems. Princeton University Press.
Google Scholar
|
|
Casadei M., Viroli M. & Gardelli L.2009. On the collective sort problem for distributed tuple spaces. Science of Computer Programming74(9), 702–722.
Google Scholar
|
|
Cheng S.-W., Poladian V. V., Garlan D. & Schmerl B.2009. Improving architecture-based self-adaptation through resource prediction. In Software Engineering for Self-Adaptive Systems, Cheng, B. H. C., de Lemos, R., Giese, H., Inverardi, P. & Magee, J. (eds), 5525, Springer, 128–145.
Google Scholar
|
|
Cicirello V. A. & Smith S. F.2004. Wasp-like agents for distributed factory coordination. Journal of Autonomous Agents and Multi-Agent Systems8, 237–266.
Google Scholar
|
|
Clearwater S. H.1996. Market-Based Control: A Paradigm for Distributed Resource Allocation. World Scientific.
Google Scholar
|
|
Coore D.1999. Botanical Computing: A Developmental Approach to Generating Interconnect Topologies on an Amorphous Computer. PhD thesis.
Google Scholar
|
|
Dawkins R.1976. The Selfish Gene. Oxford University Press.
Google Scholar
|
|
de Lemos R., Giese H., Muoller H. & Shaw M.2012. Software Engineering for Self-Adaptive Systems II, Lecture Notes in Computer Science 7475. Springer.
Google Scholar
|
|
De Wolf T. & Holvoet T.2005. Towards a methodology for engineering self-organising emergent systems. In The 2005 Conference on Self-Organization and Autonomic Informatics, Czap, H., Unland, R., Branki, C. & Tianfield, H. (eds), 18–34. IOS Press.
Google Scholar
|
|
De Wolf T. & Holvoet T.2007. Design patterns for decentralised coordination in self-organising emergent systems. In The Fourth International Workshop on Engineering Self-Organising Applications (ESOA) at AAMAS 2006, Brueckner, S., Hassas, S., Jelasity, M. and Yamins, D. (eds), LNAI 4335, 28–49. Springer.
Google Scholar
|
|
De Wolf T., Holvoet T. & Samaey G.2005. Engineering self-organising emergent systems with simulation-based scientific analysis. In The Fourth International Workshop on Engineering Self-Organising Applications, 146–160.
Google Scholar
|
|
Denzinger J. & Fuchs D.1999. Cooperation of heterogeneous provers. In The 16th International Joint Conference on Artificial Intelligence (IJCAI 1999), Dean, T. (ed.), 1, 10–15. Morgan Kaufmann.
Google Scholar
|
|
Denzinger J., Fuchs M. & Fuchs M.1997. High performance ATP systems by combining several AI methods. In IJCAI-97, Pollack, M.E. (ed.), 102–107. Morgan Kaufmann.
Google Scholar
|
|
Denzinger J., Kasinger H. & Bauer B.2011. Software engineering for self-organizing systems. Personal Communication.
Google Scholar
|
|
Di Marzo Serugendo G.2009. Robustness and dependability of self-organising systems—a safety engineering perspective. In The 11th International Symposium on Stabilization, Safety and Security of Distributed Systems (SSS 2009), Guerraoui, R. and Petit, F. (eds), LNCS 5873, 254–268. Springer.
Google Scholar
|
|
Di Marzo Serugendo G., Fitzgerald J. & Romanovsky A.2010. Metaself—an architecture and development method for dependable self-* systems. In The 25th Symposium on Applied Computing (SAC 2010).
Google Scholar
|
|
Di Marzo Serugendo G., Karageorgos A., Rana O. F. & Zambonelli F.2004. Engineering Self-Organising Systems, Lecture Notes in AI 2977. Springer.
Google Scholar
|
|
Dötsch F., Denzinger J., Kasinger H. & Bauer B.2010. Decentralized real-time control of water distribution networks using self-organizing multi-agent systems. In The 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010), Gupta, I., Hassas, S. & Rolia, J. (eds), 223–232. IEEE.
Google Scholar
|
|
Doursat R.2006. The growing canvas of biological development: multiscale pattern generation on an expanding lattice of gene regulatory networks. InterJournal: Complex Systems, http://www.interjournal.org.
Google Scholar
|
|
Edmonds B. & Bryson J. J.2004. The insufficiency of formal design methods: the necessity of an experimental approach for the understanding and control of complex MAS. In The 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), Jennings, N. R., Tambe, M., Sierra, C. & Sonenberg, L. (eds), 938–945. IEEE.
Google Scholar
|
|
Egan C.2011. Awareness: self-awareness in autonomic systems. http://www. aware-project.eu/.
Google Scholar
|
|
Epstein J. M.2006. Generative Social Science, Princeton Studies in Complexity. Princeton University Press.
Google Scholar
|
|
Flacher F. & Sigaud O.2002. Spatial coordination through social potential fields and genetic algorithms. In The Seventh International Conference on Simulation of Adaptive Behavior (From Animals to Animats), Hallam, B., Floreano, D., Hallam, J., Meyer, J.-A. & Hayes, G. (eds), MIT Press.
Google Scholar
|
|
Gardelli L., Viroli M. & Omicini A.2007. Design patterns for self-organizing multiagent systems. In The 5th International Central and Eastern European Conference on Multi-Agent Systems (CEEMAS 2007), Hans-Dieter, B., Gabriela, L., Rineke, V., & Lszl Zsolt, V. (eds), LNCS 4696, 123–132. Springer.
Google Scholar
|
|
Georgas J. C. & Taylor R. N.2009. Policy-based architectural adaptation management: robotics domain case studies. In Software Engineering for Self-Adaptive Systems, Cheng, B. H. C., de Lemos, R., Giese, H., Inverardi, P. & Magee, J. (eds), 5525Springer, 89–108.
Google Scholar
|
|
Georgiadis I., Magee J. & Kramer J.2002. Self-organising software architectures for distributed systems. In The First Workshop on Self-healing Systems (WOSS '02), Garlan, D., Kramer, J. & Wolf, A. (eds). ACM.
Google Scholar
|
|
Gershenson C.2007. Design and Control of Self-organizing Systems. PhD thesis.
Google Scholar
|
|
Gershenson C. & Heylighen F.2003. When Can We Call a System Self-Organizing? http://arxiv.org/pdf/nlin.AO/0303020.
Google Scholar
|
|
Glad A., Buffet O., Simonin O. & Charpillet F.2009. Self-organization of patrolling-ant algorithms. In The International Conference on Self-Adaptive and Self-Organizing Systems (SASO09), 61–70.
Google Scholar
|
|
Glad A., Buffet O., Simonin O. & Charpillet F.2010. Influence of different execution models on patrolling ant behaviors: from agents to robots. In The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS’10), 1173–1180.
Google Scholar
|
|
Glad A., Simonin O., Buffet O. & Charpillet F.2008. Theoretical study of ant-based algorithms for multi-agent patrolling. In The Eighteenth European Conference on Artificial Intelligence (ECAI’08), 626–630.
Google Scholar
|
|
Grassé P.-P.1959. La reconstruction du nid et les coordinations inter-individuelles chez bellicositermes natalensis et cubitermes sp. la theorie de la stigmergie: essai d’interpretation du comportement des termites constructeurs. Insectes Sociaux6, 41–84.
Google Scholar
|
|
Guerin S. & Kunkle D.2004. Emergence of constraint in self-organizing systems. Nonlinear Dynamics, Psychology, and Life Sciences8(2), 131–146.
Google Scholar
|
|
Haddadi A. & Sundermeyer K.1996. Belief-desire-intention agent architectures. In Foundations of Distributed Artificial Intelligence, O’Hare, G. M. P. & Jennings, N. R. (eds). John Wiley, 169–185.
Google Scholar
|
|
Hamdi A., Antoine V., Monmarché N., Alimi A. & Slimane M.2010. Artificial ants for automatic classification. In Artificial Ants: From Collective Intelligence to Real-life Optimization and Beyond, Monmarch, N., Guinand, F. & Siarry, P. (eds). John Wiley and Sons, 265–290.
Google Scholar
|
|
Handl J., Knowles J. & Dorigo M.2003. Ant-Based Clustering: A Comparative Study of its Relative Performance with Respect to k-means, Average Link and 1d-som. Technical Report TR-IRIDIA-2003-24, IRIDIA.
Google Scholar
|
|
Heaven W., Sykes D., Magee J. & Kramer J.2009. A case study in goal-driven architectural adaptation. In Software Engineering for Self-Adaptive Systems, Cheng, B. H. C., de Lemos, R., Giese, H., Inverardi, P. & Magee, J. (eds), 5525Springer, 109–127.
Google Scholar
|
|
Heusse M., Guerin S., Snyers D. & Kuntz P.1998. Adaptive agent-driven routing and load balancing in communication networks. Advances in Complex Systems1, 234–257.
Google Scholar
|
|
Holvoet T., Weyns D. & Valckenaers P.2010. Delegate MAS patterns for large-scale distributed coordination and control applications. In EuroPlop.
Google Scholar
|
|
Holzer R., de Meer H. & Bettstetter C.2008. On autonomy and emergence in self-organizing systems. In Intern. Workshop on Self-Organizing Systems (IWSOS), LNCS 5343. Springer.
Google Scholar
|
|
Höning N.2011. Comments on Software Engineering for Self-Organizing Systems. Personal Communication.
Google Scholar
|
|
Höning N. & La Poutre H.2010. Designing comprehensible self-organising systems. In The Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010), 233–242. IEEE Computer Society.
Google Scholar
|
|
Huang H.-M., Pavek K., Novak B., Albus J. & Messina E.2005. A framework for autonomy levels for unmanned systems (ALFUS). In AUVSI Unmanned Systems 2005.
Google Scholar
|
|
Hudson J., Denzinger J., Kasinger H. & Bauer B.2010. Efficiency testing of self-adapting systems by learning of event sequences. In The 2nd International Conference on Adaptive and Self-adaptive Systems and Applications (ADAPTIVE 2010), 200–205. IARIA.
Google Scholar
|
|
IBM2006. An architectural blueprint for autonomic computing. Technical report, IBM.
Google Scholar
|
|
ITEA2010. Agenda. In The Developing And Testing Autonomy (DATA) Workshop. International Test and Evaluation Association (ITEA).
Google Scholar
|
|
Janssen M. A.2002. Complexity and Ecosystem Management: The Theory and Practice of Multi-Agent Systems. Edward Elgar.
Google Scholar
|
|
Kasinger H., Bauer B. & Denzinger J.2009. Design pattern for self-organizing emergent systems based on digital infochemicals. In EASe 2009, 45–55.
Google Scholar
|
|
Kearns M., Mansour Y. & Ng A.1999. A sparse sampling algorithm for near-optimal planning in large markov decision processes. In The Sixteenth International Joint Conference on Artificial Intelligence, 1324–1331. Morgan Kaufmann.
Google Scholar
|
|
Kephart J. O. & Chase D. M.2003. The vision of autonomic computing. Computer36(1), 41–50.
Google Scholar
|
|
Kephart J. O., Hogg T. & Huberman B. A.1989. Dynamics of computational ecosystems. Physics Review40A, 404–421.
Google Scholar
|
|
Kinny D., Georgeff M. & Rao A.1996. A methodology and modelling technique for systems of BDI agents. In Agents Breaking Away. 7th European Workshop on Modelling Autonomous Agents in a Multi-Agent World (MAAMAW’96), Walter Vande, V. & John, W. P. (eds), Lecture Notes in Artificial Intelligence 1038, 56–71. Springer.
Google Scholar
|
|
Kocsis L. & Szepesvári C.2006. Bandit based Monte-Carlo planning. In The EMCL 2006, Fiirnkranz, J., Scheffer, T. & Spiliopoulou, M. (eds), LNCS 4212. Springer, 282–293.
Google Scholar
|
|
Koestler A.1967. The Ghost in the Machine. Penguin Group.
Google Scholar
|
|
Kuntz P. & Layzell P.1997. An ant clustering algorithm applied to partitioning in VLSI technology. In Fourth European Conference on Artificial Life, Husbands, P. and Harvey, I. (eds), 417–424. MIT Press.
Google Scholar
|
|
Larman C. & Basili V.2003. Iterative and incremental development: a brief history. IEEE Computer36(36), 2–11.
Google Scholar
|
|
Lejter M. & Dean T.1996. A framework for the development of multiagent architectures. IEEE Expert11, 47–59.
Google Scholar
|
|
Lerman K., Martinoli A. & Galstyan A.2005. A review of probabilistic macroscopic models for swarm robotic systems. In Swarm Robotics Workshop: State-of-the-art Survey, Sahin, E. & Spears, W. (eds). Springer-Verlag, 143–152.
Google Scholar
|
|
Mamei M. & Zambonelli F.2005. Field-Based Coordination for Pervasive Multiagent Systems. Springer.
Google Scholar
|
|
Masoud S. A. & Masoud A. A.2000. Constrained motion control using vector potential fields. IEEE Trans. on Systems, Man, and Cybernetics30(3), 251–272.
Google Scholar
|
|
Maxwell J. C.1867. On governors. Proceedings of the Royal Society of London16, 270–283.
Google Scholar
|
|
Merkle D., Middendorf M. & Scheidler A.2007. Swarm controlled emergence—designing an anti-clustering ant system. InIEEE Swarm Intelligence Symposium, 242–249.
Google Scholar
|
|
Monmarché N.1999. On data clustering with artificial ants. In AAAI-99 & GECCO-99 Workshop on Data Mining with Evolutionary Algorithms: Research Directions, Freitas, A. A. (eds), 23–26. AAAI.
Google Scholar
|
|
Nagpal R.2001. Programmable Self-Assembly: Constructing Global Shape using Biologically-inspired Local Interactions and Origami Mathematics. PhD thesis.
Google Scholar
|
|
Newman M. E. J.2010. Networks: An Introduction. Oxford University Press.
Google Scholar
|
|
Nierstraz O., Denker M. & Renggli L.2009. Model-centric, context-aware software adaptation. In Software Engineering for Self-Adaptive Systems, Cheng, B. H. C., de Lemos, R., Giese, H., Inverardi, P. & Magee, J. (eds), 5525, Springer, 128–145.
Google Scholar
|
|
Nii H. P.1986a. Blackboard systems. AI Magazine7(3), 40–53.
Google Scholar
|
|
Nii H. P.1986b. Blackboard systems. AI Magazine7(4), 82–107.
Google Scholar
|
|
Odell J. J., Van Dyke Parunak H., Brueckner S. & Sauter J.2003. Temporal aspects of dynamic role assignment. In Workshop on Agent-Oriented Software Engineering (AOSE03) at AAMAS03, LNAI 2935, 201–213. Springer.
Google Scholar
|
|
OMG2008. Software & Systems Process Engineering Meta-Model Specification. Technical report, Object Management Group. http://www.omg.org/spec/SPEM/2.0/PDF.
Google Scholar
|
|
Omicini A.2002. Towards a notion of agent coordination context. In Process Coordination and Ubiquitous Computing, Marinescu, D. & Lee, C. (eds). CRC Press, 187–200.
Google Scholar
|
|
Omicini A., Ricci A., Viroli M., Castelfranchi C. & Tummolini L.2004. Coordination artifacts: environment-based coordination for intelligent agents. In 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), Jennings, N. R., Tambe, M., Sierra, C. & Sonenberg, L. (eds), 1, 286–293. ACM.
Google Scholar
|
|
Omicini A. & Zambonelli F.1999. Coordination for internet application development. Autonomous Agents and Multi-Agent Systems23(3), 251–269.
Google Scholar
|
|
Parunak H. V. D.1997. ‘go to the ant’: engineering principles from natural agent systems. Annals of Operations Research75, 69–101.
Google Scholar
|
|
Parunak H. V. D.2006. A survey of environments and mechanisms for human-human stigmergy. In Proceedings of E4MAS 2005, Weyns, D., Michel, F. & Van Dyke Parunak, H. (eds), LNAI 3830, Lecture Notes on AI, 163–186. Springer.
Google Scholar
|
|
Parunak H. V. D., Belding T. C. & Brueckner S. A.2008. Prediction horizons in agent models. In Engineering Environment-Mediated Multiagent Systems (Satellite Conference at ECCS 2007), Weyns, D., Brueckner, S. & Demazeau, Y. (eds), LNCS 5049, 88–102. Springer.
Google Scholar
|
|
Parunak H. V. D. & Brueckner S.2001. Entropy and self-organization in multi-agent systems. In The Fifth International Conference on Autonomous Agents (Agents 2001), André, E., Sen, S., Frasson, C. & Müller, J. P. (eds), 124–130. ACM.
Google Scholar
|
|
Parunak H. V. D., Brueckner S. & Savit R.2004. Universality in multi-agent systems. In Third International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2004), 930–937. ACM.
Google Scholar
|
|
Parunak H. V. D., Brueckner S., Weyns D., Holvoet T. & Valckenaers P.2007. E pluribus unum: Polyagent and delegate mas architectures. In Eighth International Workshop on Multi-Agent-Based Simulation (MABS07), Lecture Notes in AI 5003, 36–51. Springer.
Google Scholar
|
|
Parunak H. V. D. & Brueckner S. A.2004. Engineering swarming systems. In Methodologies and Software Engineering for Agent Systems, Bergenti, F., Gleizes, M.-P. & Zambonelli, F. (eds). Kluwer, 341–376.
Google Scholar
|
|
Parunak H. V. D., Rohwer R., Belding T. C. & Brueckner S.2006. Dynamic decentralized any-time hierarchical clustering. In Proceedings of the Fourth International Workshop on Engineering Self-Organizing Systems (ESOA’06), LNAI 4335. Springer.
Google Scholar
|
|
Parunak H. V. D., Ward A. C., Fleischer M. & Sauter J. A.1999. The RAPPID project: symbiosis between industrial requirements and mas research. Journal ofAutonomous Agents and Multi-Agent Systems2(2), 111–140.
Google Scholar
|
|
Payton D., Daily M., Estowski R., Howard M. & Lee C.2001. Pheromone robotics. Journal Autonomous Robots11(3), 319–324.
Google Scholar
|
|
Peeters P., Van Brussel H., Valckenaers P., Wyns J., Bongaerts L., Kollingbaum M. & Heikkila T.2001. Pheromone based emergent shop floor control system for flexible flow shops. Artificial Intelligence in Engineering15, 343–352.
Google Scholar
|
|
Prusinkiewicz P. & Lindenmayer A.1990. The Algorithmic Beauty of Plants. Springer.
Google Scholar
|
|
Puviani M., Di Marzo Serugendo G., Frei R. & Cabri G.2011. A method fragments approach to methodologies for engineering self-organising systems. ACM Transactions on Autonomous and Adaptive Systems7(3), 1–25.
Google Scholar
|
|
Rao A. S. & Georgeff M. P.1991. Modeling rational agents within a BDI architecture. In International Conference on Principles of Knowledge Representation and Reasoning (KR-91), Allen, J., Fikes, F., & Sandwall, E. (eds), 473–484. Morgan Kaufman.
Google Scholar
|
|
Rice H. G.1953. Classes of recursively enumerable sets and their decision problems. Transactions of the American Mathematical Society74, 358–366.
Google Scholar
|
|
Ricketts S.1996. Holonic manufacturing systems.
Google Scholar
|
|
Salehie M. & Tahvildari L.2009. Self-adaptive software: landscape and research challenges. ACM Transactions on Autonomic and Autonomic Systems (TAAS)4(2), 1–42.
Google Scholar
|
|
SAPERE2011. Eu SAPERE Project (Self-Aware Pervasive Service Ecosystems). http://www.sapere-project.eu/.
Google Scholar
|
|
SASO2011. Self-adaptive and Self-Organizing Systems. http://www.saso-conference.org/.
Google Scholar
|
|
Sauter J. A., Matthews R., Parunak H. V. D. & Brueckner S.2002. Evolving adaptive pheromone path planning mechanisms. In Autonomous Agents and Multi-Agent Systems (AAMAS02). ACM, 434–440.
Google Scholar
|
|
Sauter J. A., Matthews R., Parunak H. V. D. & Brueckner S. A.2005. Performance of digital pheromones for swarming vehicle control. In Fourth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Pechoucek, M., Steiner, D. & Thompson, S. (eds), 903–910. ACM.
Google Scholar
|
|
Sauter J. A., Matthews R., Parunak H. V. D. & Brueckner S. A.2007. Effectiveness of digital pheromones controlling swarming vehicles in military scenarios. Journal of Aerospace Computing, Information, and Communication4(5), 753–769.
Google Scholar
|
|
Sauter J. A., Matthews R. S., Robinson J. S., Moody J. & Riddle S. P.2009. Swarming unmanned air and ground systems for surveillance and base protection. In AIAA Infotech@Aerospace 2009 Conference. AIAA.
Google Scholar
|
|
Savit R., Brueckner S. A., Parunak H. V. D. & Sauter J.2002. Phase structure of resource allocation games. Physics Letters A311, 359–364.
Google Scholar
|
|
Scholtes I.2010. Harnessing Complex Structures and Collective Dynamics in Large Networked Computing Systems. PhD thesis.
Google Scholar
|
|
Scholtes I.2011. Thoughts on Engineering Self-Organizing Systems. Personal Communication.
Google Scholar
|
|
Scholtes I., Botev J., Hohfeld A., Schloss H. & Esch M.2008. Awareness-driven phase transitions in very large scale distributed systems. In The Second IEEE International Conferences on Self-Adaptive and Self-Organizing Systems (SASO), Brueckner, S. A., Robertson, P. & Bellur, U. (eds). IEEE.
Google Scholar
|
|
Sengers P.1999. Designing comprehensible agents. In Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), Dean, T. (ed.), 1227–1232. Lawrence Erlbaum.
Google Scholar
|
|
Shen W. & Norrie D.1997. Facilitators, mediators or autonomous agents. In Second International Workshop on CSCW in Design, Siriruchatapong, P., Zongkai, L. and Barthes, J. P. (eds), 119–124. International Academic Pubilshers, Beijing.
Google Scholar
|
|
Simon H. A.1969. The Sciences of the Artificial. MIT Press.
Google Scholar
|
|
Simonin O., Charpillet F., Buffet O. & Glad A.2011. Engineering Self-Organizing Systems. Personal Communication.
Google Scholar
|
|
Spicher A. & Michel O.2006. Declarative modeling of a neurulation-like process. BioSystems87, 281–288.
Google Scholar
|
|
T3 Group2012. T3 Group: Trust Theory Technology. http://t3.istc.cnr.it/trustwiki/index.php/Main_Page.
Google Scholar
|
|
Tyrrell A., Auer G. & Bettstetter C.2007. Biologically inspired synchronization for wireless networks. In Advances in Biologically Inspired Information Systems: Models, Methods, and Tools, Dressler, F. & Carreras, I. (eds), Studies in Computational Intelligence. Springer, 47–62.
Google Scholar
|
|
Valckenaers P.2011. Self-Organizing Systems with Emergent Behavior. Personal Communication.
Google Scholar
|
|
Valckenaers P. & Van Brussel H.2005. Holonic manufacturing execution systems. CIRP Annals of Manufacturing Technology54(1), 427–432.
Google Scholar
|
|
Valckenaers P., Van Brussel H., Hadeli K., Bochmann O., Germain B. S. & Zamfirescu C.2003. On the design of emergent systems: an investigation of integration and interoperability issues. Engineering Applications of Artificial Intelligence16, 377–393.
Google Scholar
|
|
Van Brussel H., Wyns J., Valckenaers P., Bongaerts L. & Peeters P.1998. Reference architecture for holonic manufacturing systems: prosa. Computers In Industry37(3), 255–276.
Google Scholar
|
|
Villatoro D.2011. Social Norms for Self-policing Multi-agent Systems and Virtual Societies. PhD thesis.
Google Scholar
|
|
Viroli M. & Casadei M.2009. Biochemical tuple spaces for self-organising coordination. In Coordination Languages and Models, Field, J. & Vasconcelos, V. T. (ed.), 5521, Springer, 143–162.
Google Scholar
|
|
Viroli M. & Omicini A.2011. The “self-organising coordination” Paradigm in the Software Engineering of SOS. Technical report, Universita di Bologna.
Google Scholar
|
|
Viroli M., Ricci A., Zambonelli F., Holvoet T. & Schelfthout K.2007. Infrastructures for the environment of multiagent systems. Journal of Autonomous Agents and Multi-Agent Systems14(1), 49–60.
Google Scholar
|
|
Viroli M. & Zambonelli F.2010. A biochemical approach to adaptive service ecosystems. Information Sciences180(10), 1876–1892.
Google Scholar
|
|
Walsham B.2003. Simplified and Optimised Ant Sort for Complex Problems: Document Classification. Bachelor of Software Engineering thesis.
Google Scholar
|
|
Watson D. P. & Scheidt D. H.2005. Autonomous systems. Johns Hopkins APL Technical Digest26(4), 368–375.
Google Scholar
|
|
Wegner P.1997. Why interaction is more powerful than algorithms. Communications ofthe ACM40, 81–91.
Google Scholar
|
|
Werfel J.2006. Anthills Built to Order: Automating Construction with Artificial Swarms. PhD thesis.
Google Scholar
|
|
Weyns D2010. Architecture-Based Design of Multi-Agent Systems. Springer.
Google Scholar
|
|
Weyns D.2011. Software engineering for self-organizing systems. Personal Communication.
Google Scholar
|
|
Weyns D., Boucke N. & Holvoet T.2008. A field-based versus a protocol-based approach for adaptive task assignment. Journal on Autonomous Agents and Multi-Agent Systems17(2), 288–319.
Google Scholar
|
|
Weyns D., Malek S., Andersson J. & Schmerl B.2011. Call for Papers, Special Issue on “state of the art in self-adaptive software systems”, Journal of Systems and Software (jss). http://www.elsevierscitech.com/cfp/CFP-JSS-special-issue-2010.pdf.
Google Scholar
|
|
Weyns D., Schmerl B., Grassi V., Malek S., Mirandola R., Prehofer C., Wuttke J., Andersson J., Giese H. & Goschka K.2012. On patterns for decentralized control in self-adaptive systems. In Software Engineering for Self-Adaptive Systems II, de Lemos, R., Giese, H., Müller, H. & Shaw, M. (eds), LNCS 7475, pp. 76–107. Springer.
Google Scholar
|
|
Wiener N.1948. Cybernetics. MIT Press.
Google Scholar
|
|
Wooldridge M. & Jennings N. R.1995. Agent theories, architectures, and languages: a survey. In Intelligent Agents, Wooldridge, M. & Jennings, N. R. (eds). Springer, 1–22.
Google Scholar
|