Exploratory Modeling of Complex Information Processing Systems

Jochen Kerdels, Gabriele Peters




  1. Allan, R. (2010). Survey of agent based modelling and simulation tools. Technical report, STFC Daresbury Laboratory, Computational Science and Engineering Department, Daresbury, Warrington WA4 4AD.
  2. Bankes, S. (1993). Exploratory modeling for policy analysis. Operations Research, 41(3):435-449.
  3. Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99(Suppl 3):7280-7287.
  4. Brun, R. and Rademakers, F. (1996). Root - an object oriented data analysis framework. In AIHENP'96 Workshop, Lausane, volume 389, pages 81-86.
  5. Caron-Lormier, G., Humphry, R., Bohan, D., Hawes, C., and Thorbek, P. (2008). Asynchronous and synchronous updating in individual-based models. Ecological Modelling, 212(3-4):522-527.
  6. DeAngelis, D. L. and Mooij, W. M. (2005). Individualbased modeling of eecological and evolutionary processes. Annual Review of Ecology, Evolution, and Systematics, 36(1):147-168.
  7. Dennett, D. (1998). Brainchildren: Essays on Designing Minds, 1984-1996. Representation and Mind Series. Mit Press.
  8. Evans, K. M. (2001). Larger than life: Digital creatures in a family of two-dimensional cellular automata. In Cori, R., Mazoyer, J., Morvan, M., and Mosseri, R., editors, Discrete Models: Combinatorics, Computation, and Geometry, DM-CCG 2001, volume AA of DMTCS Proceedings, pages 177-192. Discrete Mathematics and Theoretical Computer Science.
  9. Gardner, M. (1970). Mathematical games: The fantastic combinations of John Conway's new solitaire game 'Life'. j-SCI-AMER, 223(4):120-123.
  10. Holland, J. (1998). Emergence. Oxford University Press, New York.
  11. Koch, C. (2004). Biophysics of Computation: Information Processing in Single Neurons. Computational Neuroscience Series. Oxford University Press, USA.
  12. Langton, C. G. (1986). Studying artificial life with cellular automata. Physica D: Nonlinear Phenomena, 22(13):120 - 149. Proceedings of the Fifth Annual International Conference.
  13. Lempert, R. J., Schlesinger, M. E., and Bankes, S. C. (1996). When we dont know the costs or the benefits: Adaptive strategies for abating climate change. Change, Climactic Change, 33:235-274.
  14. Maslow, A. and Wirth, A. (1966). The psychology of science: a reconnaissance, volume 8 of The John Dewey Society lectureship series. Harper & Row.
  15. Minar, N., Burkhart, R., Langton, C., and Askenazi, M. (1996). The swarm simulation system: A toolkit for building multi-agent simulations. Santa Fe Institute.
  16. Newman, M. (2003). The structure and function of complex networks. SIAM Review, 45(2):167-256.
  17. Newman, M. E. J. (2011). Resource letter cs-1: Complex systems. American Journal of Physics, 79:800-810.
  18. North, M., Collier, N., and Vos, J. (2006). Experiences creating three implementations of the repast agent modeling toolkit. ACM Trans. Model. Comput. Simul., 16(1):1-25.
  19. Railsback, S., Lytinen, S., and Jackson, S. (2006). Agentbased simulation platforms: Review and development recommendations. Simulation, 82(9):609-623.
  20. Reynolds, C. (1987). Flocks, herds and schools: A distributed behavioral model. In Proceedings of the 14th annual conference on Computer graphics and interactive techniques, SIGGRAPH 7887, pages 25-34, New York, NY, USA. ACM.
  21. Salamon, T. (2011). Design of Agent-Based Models : Developing Computer Simulations for a Better Understanding of Social Processes. Academic series. Bruckner Publishing, Repin, Czech Republic.
  22. Shepherd, G. and Grillner, S. (2010). Handbook of Brain Microcircuits. Oxford University Press, USA.
  23. Squire, L., Bloom, F., Spitzer, N., Squire, L., Berg, D., du Lac, S., and Ghosh, A. (2008). Fundamental Neuroscience. Fundamental Neuroscience Series. Elsevier Science.
  24. Wilensky, U. (1999). NetLogo http://ccl.northwestern.edu/ netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University., Evanston, IL.

Paper Citation

in Harvard Style

Kerdels J. and Peters G. (2013). Exploratory Modeling of Complex Information Processing Systems . In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-70-9, pages 514-521. DOI: 10.5220/0004598205140521

in Bibtex Style

author={Jochen Kerdels and Gabriele Peters},
title={Exploratory Modeling of Complex Information Processing Systems},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},

in EndNote Style

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Exploratory Modeling of Complex Information Processing Systems
SN - 978-989-8565-70-9
AU - Kerdels J.
AU - Peters G.
PY - 2013
SP - 514
EP - 521
DO - 10.5220/0004598205140521