Building complex adaptive systems: On engineering self-organizing multi-agent systems

Applications of Complex Adaptive Systems

Volumn , Issue , 2008, Pages 229-256

  Sudeikat, Jan ^a   Renz, Wolfgang ^a  

^a HAMBURG UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67649935660     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-962-5.ch009     Document Type: Chapter

References (72)

1. Bar-Yam, Y. (2002). General features of complex system. Encyclopedia of Life Support Systems (EOLSS) Publishers.
2. Bernon, C., Camps, V., Gleizes, M., & Picard, G. (2003). Tools for self-organizing applications engineering. In Engineering Self-Organizing Applications-First International Workshop (ESOA) (pp. 283-298).
3. Bernon, C., Gleizes, M.-P., Peyruqueou, S., & Picard, G. (2003). Adelfe: A methodology for adaptive multi-agent systems engineering. (LNCS 2577, 156-169).
4. Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. Oxford University Press.
5. Bordini, R., Braubach, L., Dastani, M., Seghrouchni, A. E. F., Gomez-Sanz, J., Leite, J., et al. (2006). A survey of programming languages and platforms for multi-agent systems. Informatica, 30, 33-44.
6. Braubach, L., Pokahr, A., & Lamersdorf, W. (2006). Tools and standards. In Multiagent engineering-Theory and applications in enterprises. International Handbooks on Information Systems. Springer.
7. Brinksma, E., & Hermanns, H. (2001). Process algebra and markov chains. (LNCS 2090, pp. 183-231).
8. Brooks, R. (1986). A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, 2, 14-32.
9. Brueckner, S., & Czap, H. (2006). Organization, self-organization, autonomy and emergence: Status and challenges. International Transactions on Systems Science and Applications, 2(1), 1-9.
10. Challet, D., & Zhang, Y. C. (1997). Emergence of cooperation and organization in an evolutionary game. Physica A, 246, 407.
11. De Wolf, T., & Holvoet, T. (2004). Emergence and self-organisation: A statement of similarities and differences. In Proceedings of Engineering Self-Organizing Applications '04 (pp. 96-110). Springer.
12. De Wolf, T., & Holvoet, T. (2005). Towards a methodolgy for engineering self-organising emergent systems. In Proceedings of the International Conference on Self-Organization and Adaptation of Multi-agent and Grid Systems (SOAS 2005).
13. De Wolf, T. D., Holvoet, T., & Samaey, G. (2005). Engineering self-organising emergent systems with simulation-based scientific analysis. In Proceedings of the International Workshop on Engineering Self-Organising Applications. Springer.
14. De Wolf, T., & Holvoet, T. (2006). A catalogue of decentralised coordination mechanisms for designing self-organising emergent applications (Tech. Rep. CW 548). K.U., Leuven, Department of Computer Science.
15. De Wolf, T., & Holvoet, T. (2006a). A taxonomy for self-* properties in decentralised autonomic computing. In Autonomic computing: Concepts, infrastructure, and applications. CRC Press.
16. De Wolf, T., & Holvoet, T. (2006b). Decentralised coordination mechanisms as design patterns for self-organising emergent applications. In Proceedings of the Fourth International Workshop on Engineering Self-Organising Applications (pp. 40-61). Springer.
17. Dowling, J., & Cahill, V. (2001). The K-component architecture meta-model for self-adaptive software. In Proceedings of Reflection 2001 (LNCS 2192, pp. 81-88). Springer.
18. Drogoul, A., Vanbergue, D., & Meurisse, T. (2002). Multi-agent based simulation: Where are the agents? In Proceedings of MABS'02 (Multi-Agent Based Simulation). Springer.
19. Edmonds, B. (2004). Using the experimental method to produce reliable self-organised systems. In Engineering self organising sytems: Methodologiesand applications (LNAI 3464, pp. 84-99). Springer.
20. 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 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems. IEEE Computer Society.
21. Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1995). Design patterns-Elements of reusable object-oriented software. Addison-Wesley.
22. Gardelli, L., Viroli, M., & Omicini, A. (2005). On the role of simulation in the engineering of self-organising systems: Detecting abnormal behavior in MAS. In AI*IA/TABOO Joint Workshop (WOA 2005) (pp. 85-90).
23. Gardelli, L., Viroli, M., & Omicini, A. (2006). On the role of simulations in engineering self-organising MAS: The case of an intrusion detection system in Tucson. In Engineering self-organising systems (pp. 153-166). Springer.
24. Gershenson, C. (2006). A general methodology for designing self-organizing systems. ArXiv Nonlinear Sciences e-prints, nlin/0505009.
25. Gleizes, M., Camps, V., & Glize, P. (1999). A theory of emergent computation based on cooperative self-organization for adaptive artificial systems. In Fourth European Congress of Systems Science.
26. Grasse, P. (1959). La reconstruction du nid et les coordinations inter-individuelles chez bellicostitermes natalensis et cubitermes.sp. la theorie de la stigmergie: essai d'interpretation du comportement des termites constructeurs. Insectes Sociaux, 6, 41-83.
27. Haken, H. (2004). SYNERGETICS. Introduction and advanced topics. Springer.
28. Hassas, S., Marzo-Serugendo, G. D., Karageorgos, A., & Castelfranchi, C. (2006). On self-organized mechanisms from social, business and economic domains. Informatica, 30, 62-71.
29. Henderson-Sellers, B., & Giorgini, P. (2005). Agent-oriented methodologies. Idea Group.
30. Heylighen, F. (2003). Mediator evolution (Tech. Rep.). Principia Cybernetica. Retrieved December 13, 2006, from http://pcp.vub.ac.be/Papers/Mediator-Evolution.pdf
31. Ishida, T., Gasser, L., & Yokoo, M. (1992). Organization self-design of distributed production systems. IEEE Transactions on Knowledge and Data Engineering, 123-134.
32. Jacobson, I., Booch, G., & Rumbaugh, J. (1999). The unified software development process. Addison-Wesley.
33. Jennings, N. R. (2001). Building complex, distributed systems: The case for an agent-based approach. Communications of the ACM, 44(4), 35-41.
34. Kephart, J. O., & Chess, D. M. (2003). The vision of autonomic computing, Computer, 36(1), 41-50.
35. Koestler, A. (1967). The ghost in the machine. Arkana.
36. Kruchten, P. (2003). The rational unified process: An introduction. Addison-Wesley.
37. Lerman, K., & Galstyan, A. (2001). A general methodology for mathematical analysis of multiagent systems (Tech. Rep. ISI-TR-529). Marina del Rey, CA: University of California, Information Sciences Institute.
38. Lerman, K., & Galstyan, A. (2004). Automatically modeling group behavior of simple agents. In Agent Modeling Workshop. New York: IEEE Computer Society.
39. Lerman, K., Martinoli, A., & Galstyan, A. (2004). A review of probabilistic macroscopic models for swarm robotic systems. ISAB-04, 3342.
40. Maes, P. (1994). Modeling adaptive autonomous agents. Artificial Life, 1, 135-162.
41. Mamei, M., Menezes, R., Tolksdorf, R., & Zambonelli, F. (2006). Case studies for self-organization in computer science. Journal of Systems Architecture, 52, 443-460.
42. Mamei, M., Zambonelli, F., & Leonardi, L. (2004). Co-fields: A physically inspired approach to motion coordination. IEEE Pervasive Computing, 3(2), 52-61.
43. Mano, J. P., Bourjot, C., Lopardo, G., & Glize, P. (2006). Bioinspired mechanisms for artificial self-organized systems. Informatica, 30, 55-62.
44. Milner, R. (1989). Communication and concurrency. Prentice Hall.
45. Mogul, J. C. (2005). Emergent (mis)behavior vs. complex software systems (HPL-2006-2). Palo Alto, CA: HP Laboratories.
46. Moore, D., & Wright, W. (2003). Emergent behaviours considered harmful. In AAMAS '03: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 1070-1071).
47. Müller, J. (2004). Emergence of collective behaviour and problem solving. Engineering Societies in the Agents World, 3071, 1-21.
48. Müller-Schloer, C. (2004). Organic computing: On the feasibility of controlled emergence. In Proceedings of the 2nd IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis (pp. 2-5) ACM Press.
49. Omicini, A., Ricci, A., Viroli, M., Castelfranchi, C., & Tummolini, L. (2004). A conceptual framework for self-organising mas. In 5th AI*IA/TABOO Joint Workshop "From Objects to Agents": Complex Systems and Rational Agents (pp. 100-109).
50. Parunak, H., & Vander Bok, R. (1997). Managing emergent behavior in distributed control systems. In Proceedings of ISA Tech '97. Instrument Society of America.
51. Parunak, H. V. D. (1997). Go to the ant: Engineering principles from natural multiagent systems. Annals of Operations Research, 75(1), 69-101.
52. Parunak, H. V. D., & Brueckner, S. (2004). Engineering swarming systems. In Methodologies and software engineering for agent systems (pp. 341-376). Kluwer.
53. Parunak, H. V. D., Brueckner, S., & Savit, R. (2004). Universality in multi-agent systems. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 939-93). IEEE Computer Society.
54. Parunak, H. V. D., Weinstein, P., Chiusano, P., & Brueckner, S. (2005). Sift and sort: Climbing the semantic pyramid. In Engineering self-organising systems (pp. 212-221). Springer.
55. Phillips, A. (2006). The stochastic pi machine (SPIM) [Version 0.042]. Microsoft Research. Retrieved December 13, 2006, from http://research.microsoft.com/~aphillip/spim/
56. Priami, C. (1995). Stochastic π-calculus. Computer Journal, 6, 578-589.
57. Rao, A. S., & Georgeff, M. P. (1991). Modeling rational agents within a BDIarchitecture. In Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (pp. 473-484). Morgan Kaufmann.
58. Rauch, J. (2002). Seeing around corners. The Atlantic Monthly, 35-48.
59. Renz, W., & Sudeikat, J. (2005). Modeling minority games with BDI agents-A case study. In Multiagent System Technologies (LNAI 3550, pp. 71-81). Springer.
60. Renz, W., & Sudeikat, J. (2005a). Mesoscopic modeling of emergent behavior-A self-organizing deliberative minority game. In Engineering Self-Organising Systems (LNCS 3910, pp. 167-181). Springer.
61. Renz, W., & Sudeikat, J. (2006). Emergent roles in multi agent systems-A case study in minority games. In KI - Zeitschrift fuer Kuenstliche Intelligen, Böttcher IT Verlag.
62. Rouff, C. A., Hinchey, M. G., Truszkowski, W. F., & Rash, J. L. (2006). Experiences applying formal approaches in the development of swarm-based space exploration systems. International Journal on Software Tools for Technolgy Transfer, 8, 587-603.
63. Serugendo, G. D. M., Gleizes, M. P., & Karageorgos, A. (2006). Self-organisation and emergence in MAS: An overview. Informatica, 30, 45-54.
64. Sudeikat, J., Braubach, L., Pokahr, A., & Lamersdorf, W. (2004). Evaluation of agent-oriented software methodologies-Examination of the gap between modeling and platform. In Agent-oriented software engineering V (pp. 126-141). Springer.
65. Sudeikat, J., & Renz, W. (2006). On the redesign of self-organizing multi-agent systems. International Transactions on Systems Science and Applications, 2, 81-89.
66. Sudeikat, J., & Renz, W. (2006a). Monitoring group behavior in goal-directed agents using co-efficient plan observation. In Proceedings of the 7th International Workshop on Agent Oriented Software Engineering. Springer.
67. Sudeikat, J., & Renz, W. (2006b). On simulations in MAS development-Deriving stochastic models from agent implementations to examine self-organizing dynamics. In Kommunikation in Verteilten Systemen (pp. 279-290). VDE-Verlag.
68. Sudeikat, J., & Renz, W. (2007). Toward requirements engineering for self-organizing multi-agent systems. In Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems. IEEE Computer Society.
69. Sumpter, D., Blanchard, G. B., & Broomhead, D. (2001). Ants and agents: A process algebra approach to modelling ant colony. Bulletin of Mathematical Biology, 63, 951-980.
70. Viroli, M., & Omicini, A. (2005). Process-algebraic approaches for multi-agent systems: An overview. Applicable Algebra in Engineering, Communication and Computing, 16, 69-75.
71. Weiß. G. (2002). Agent orientation in software engineering. Knowledge Engineering Review, 16(4), 349-373.
72. Weyns, D., Schelfthout, K., Holvoet, T., & Glorieux, O. (2004). A role based model for adaptive agents. In Proceedings of the Fourth Symposium on Adaptive Agents and Multi-Agent Systems (pp. 75-86).