An artificial ecosystem: Emergent dynamics and lifelike properties

Artificial Life

Volumn 13, Issue 2, 2007, Pages 159-187

  Rönkkö, Mauno ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

Artificial ecosystem; Emergent dynamics; Lifelike properties; Particle systems; Predator prey model

Indexed keywords

ANIMALS; COMPUTER SIMULATION; ECOLOGY; ENERGY ABSORPTION; PLANTS (BOTANY);

ARTIFICIAL ECOSYSTEM; EMERGENT DYNAMICS; LIFELIKE PROPERTIES; PREDATOR-PREY MODEL;

ECOSYSTEMS;

ANIMAL; ANNELID WORM; ARTICLE; BEETLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; ECOSYSTEM; ENERGY METABOLISM; FOOD CHAIN;

ANIMALS; ANNELIDA; BEETLES; COMPUTER SIMULATION; ECOSYSTEM; ENERGY METABOLISM; FOOD CHAIN; MODELS, BIOLOGICAL;

EID: 33947204103     PISSN: 10645462     EISSN: 15309185     Source Type: Journal    
DOI: 10.1162/artl.2007.13.2.159     Document Type: Article

References (33)

1. Axelrod, R. (1995). The convergence and stability of cultures: Local convergence and global polarization (Working paper 95-03-028). Santa Fe, NM: Santa Fe Institute.
2. Axtell, R., Axelrod, R., Epstein, J. M., & Cohen, M. D. (1995). Aligning simulation models: A case study and results (Working paper 95-07-065). Santa Fe, NM: Santa Fe Institute.
3. Baas, N. A., & Emmeche, C. (1997). On emergence and explanation. Intellectica, 25(2), 67-83.
4. Baverstock, K. (2000). Radiation-induced genomic instability: A paradigm-breaking phenomenon and its relevance to environmentally induced cancer. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, 454(1), 89-109.
5. Belew, R. K. (1991). Artificial life: A constructive lower bound for artificial intelligence. IEEE Expert, 6(1), 8-15.
6. Bosse, T., Jonker, C. M., & Treur, J. (2004). Organisation modelling for the dynamics of complex biological processes. Proceedings of the International Workshop on Regulated Agent-Based Social Systems: Theories and Applications (RASTA'02) (pp. 92-112). Berlin: Springer-Verlag.
7. Branicky, M. S. (1995). Studies in hybrid systems: Modeling, analysis, and control. Doctoral dissertation, Massachusetts Institute of Technology, Cambridge, MA.
8. Brooks, R. A. (1986). A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, 2(1), 14-23.
9. Epstein, J. M., & Axtell, R. (1996). Growing artificial societies: Social science from the bottom up. Washington, DC: Brookings Institution Press.
10. Holland, J. H. (1990). ECHO: Explorations of evolution in a miniature world. Proceedings of the Second Conference of Artificial Life. Redwood City, CA: Addison-Wesley.
11. Hraber, P. T., Jones, T., & Forrest, S. (1997). The ecology of Echo. Artificial Life, 3(1), 165-190.
12. Johnson, A. R., Wiens, J. A., Milne, B. T., & Crist, T. O. (1992). Animal movements and population dynamics in heterogeneous landscapes. Landscape Ecology, 7(1), 63-75.
13. Klein, J. (2002). Breve: A 3D simulation environment for the simulation of decentralized systems and artificial life. Proceedings Artificial Life VIII, the 8th International Conference on the Simulation and Synthesis of Living Systems. Cambridge, MA: MIT Press.
14. Kubík, A. (2003). Toward a formalization of emergence. Artificial Life, 9(1), 41-65.
15. Kunz, H., & Hemelrijk, C. K. (2003). Artificial fish schools: Collective effects of school size, body size, and body form. Artificial Life, 9(3), 237-253.
16. Maes, P. (1995). Artificial life meets entertainment: Lifelike autonomous agents. Communications of the ACM, 38(11), 108-114.
17. McMullin, B. (1997). SCL: An artificial chemistry in Swarm (Working paper 97-01-002). Santa Fe, NM: Santa Fe Institute.
18. Minar, N., Burhart, R., Langtong, C., & Askenazi, M. (1996). The Swarm simulation system: A toolkit for building multi-agent simulations (Working paper 96-06-042). Santa Fe, NM: Santa Fe Institute.
19. Ono, N., & Ikegami, T. (2001). Artificial chemistry: Computational studies on the emergence of self-reproducing units. Proceedings of the 6th European Conference on Artificial Life (ECAL'01) (pp. 186-195). Berlin: Springer-Verlag.
20. Pachepsky, E., Taylor, T., & Jones, S. (2002). Mutualism promotes diversity and stability in a simple artificial ecosystem. Artificial Life, 8(1), 5-24.
21. Parunak, H. V. D., & Brueckner, S. (2000). Ant-like missionaries and cannibals: Synthetic pheromones for distributed motion control. Proceedings of the Fourth International Conference on Autonomous Agents (pp. 467-474). New York: ACM Press.
22. Rasmussen, S., & Smith, J. R. (1994). Lattice polymer automata. Berichte der Bunsen-Gesellschaft für Physikalische Chemie, 98(9), 1185-1193.
23. Reeves, W. T. (1983). Particle systems - A technique for modeling a class of fuzzy objects. Computer Graphics, 17(3), 359-376.
24. Reynolds, C. W. (1987). Flocks, herds, and schools: A distributed behavioral model. Computer Graphics, 21(4), 25-34.
25. Rodríguez, A., & Reggia, J. A. (2004). Extending self-organizing particle systems to problem solving. Artificial Life, 10(4), 379-395.
26. Rönkkö, M. (2003). Previsualization in robotics. An atomic approach (Technical report A/2003/4). University of Kuopio, Finland.
27. Rönkkö, M. (2004). Previsualization in robotics: An atomic approach. Proceedings of 1st International Conference on Informatics in Control, Automation and Robotics (INCINCO 04) (pp. 110-117). INSTICC Press.
28. Rönkkö, M. (2005). ATOMS software development kit. University of Kuopio, Finland. Available at http://www.cs.uku.fi/tutkimus/GPL/ atoms.tar.
29. Terzopoulos, D., Tu, X., & Grzeszczuk, R. (1994). Artificial fishes: Autonomous locomotion, perception, and learning in a simulated physical world. Artificial Life, 1(4), 327-351.
30. Thornton, S. T., & Marion, J. B. (2004). Classical dynamics of particles and systems, (5th ed.) Belmont, CA: Brooks/Cole- Thomson Learning.
31. Tu, X., & Terzopoulos, D. (1994). Artificial fishes: Physics, locomotion, perception, behaviour. Proceedings of 21st Annual Conference on Computer Graphics and Interactive Techniques (pp. 43-50). New York: ACM Press.
32. Varela, F. J., Maturana, H. R., & Uribe, R. (1974). Autopoiesis: The organization of living systems, its characterization and a model. BioSystems, 5, 187-196.
33. Young, H. D., & Freedman, R. A., contributing authors, Sandin, T. R., & Lewis Ford, A. (2000). University physics with modern physics (10th ed.). Redwood City, CA: Addison-Wesley.