Simulation of aquatic food web and species interactions by adaptive agents embodied with evolutionary computation: A conceptual framework

Ecological Modelling

Volumn 170, Issue 2-3, 2003, Pages 291-302

  Recknagel, Friedrich ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Algal species; Artificial neural networks; Evolved differential equations; Evolved rules; Freshwater lakes; Individual based adaptive agents; Pelagic food webs; State variable based adaptive agents

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONCEPTUAL FRAMEWORK; ECOLOGICAL MODELING; FOOD WEB; FRESHWATER ECOSYSTEM; LAKE ECOSYSTEM;

ALGAE;

EID: 0347567378     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(03)00234-5     Document Type: Conference Paper

References (27)

1. Bobbin, J., Recknagel, F., 2003. Predictive rules for phytoplankton dynamics in freshwater lakes discovered by evolutionary algorithms. In: Recknagel, F. (Ed.), Ecological Informatics. Understanding Ecology by Biologically-Inspired Computation. Springer-Verlag, Berlin, New York, pp. 291-311.
2. Booth, G., 1997. Gecko: a continuos 2-D world for ecological modeling. Artif. Life 3, 147-163.
3. Forbes, S.A., 1887. The lake as a microcosm. Bull. Sci. Assoc., 77-87.
4. Holland, J.H., 1992. Adaptation in Natural and Artificial Systems. Addison-Wesley, New York.
5. Holland, J.H., 1998. Emergence. From Chaos to Order. Oxford University Press, Oxford.
6. Holland, J.H., Miller, J.H., 1991. Artificial adaptive agents in economic theory. Am. Econ. Rev. 81 (2), 365-370.
7. Huston, M., DeAngelis, D., Post, W., 1988. New computer models unify ecological theory. Bioscience 38 (10), 682-691.
8. Jorgensen, S.E., 1986. Structural dynamics model. Ecol. Model. 31, 1-9.
9. Jorgensen, S.E., Mejer, H., 1979. A holistic approach to ecological modelling. Ecol. Model. 3, 39-61.
10. Kaluzny, St., Swartzman, G., 1985. Simulation experiments comparing alternative process formulations using factorial design. Ecol. Model. 28, 181-200.
11. Kreft, J.-U., Booth, G., T Wimpeny, J.W., 1998. BacSim, a simulator for individual-based modelling of bacterial colony growth. Microbiology 144, 3275-3287.
12. Lin, F., Pai, Y., 2000. Using multi-agent simulation and learning to design new business processes. IEEE Trans. Syst. Man Cybernet. 30 (3), 380-384.
13. Park, R.A., O'Neill, R.V., Bloomfield, J.A., Shugart, H.H., Booth, R.S., Goldstein, R.A., Mankin, J.B., Koonce, J.F., Scavia, D., Adams, M.S., Clesceri, L.S., Colon, E.M., Dettman, E.H., Hoopes, J.A., Huff, D.D., Katz, S., Kitchell, J.F., Koberger, R.C., La Row, E.J., McNaught, D.C., Petersohn, J.L., Titus, J.E., Weiler, P.R., Wilkinson, J.W., Zahorcak, C.S., 1974. A generalized model for simulating lake ecosystems. Simulation, 33-50.
14. Radtke, E., Straskraba, M., 1980. Self-optimization in a phytoplankton model. Ecol. Model. 9, 247-268.
15. Railsback, St. F., 2001. Concepts from complex adaptive systems as a framework for individual-based modeling. Ecol. Model. 139, 47-62.
16. Recknagel, F., 1997. ANNA - Artificial Neural Network model predicting species abundance and succession of blue-green Algae. Hydrobiologia 349, 47-57.
17. Recknagel, F., Benndorf, J., 1982. Validation of the ecological simulation model SALMO. Int. Rev. Ges. Hydrobiol. 67 (1), 113-125.
18. Recknagel, F., French, M., Harkonen, P., Yabunaka, K., 1997. Artificial neural network approach for modelling and prediction of algal blooms. Ecol. Model. 96 (1-3), 11-28.
19. Recknagel, F., Bobbin, J., Whigham, P., Wilson, H., 2002. Comparative application of artificial neural networks and genetic algorithms for multivariate time series modelling of algal blooms in freshwater lakes. J. Hydroinform. 4 (2), 125-134.
20. Rigler, F.H., Peters, R.H., 1995. Science and Limnology. Ecology Institute, Oldendorf.
21. Rumelhart, D.E., Hinton, G.E., Williams, R.F., 1986. Learning representations by back propagation errors. Nature 123, 533-536.
22. Schmilz, O.J., Booth, G., 1997. Modelling food web complexity: the consequences of individual-based, spatially explicit behavioral ecology on trophic interactions. Evol. Ecol. 11, 379-398.
23. Straskraba, M., 1979. Natural control mechanisms in models of aquatic ecosystems. Ecol. Model. 6, 305-322.
24. Takamura, N., Otsuki, A., Aizaki, M., Nojiri, Y., 1992. Phytoplankton species shift accompanied by transition from nitrogen dependence to phosphorus dependence of primary production in Lake Kasumigaura, Japan. Arch. Hydrobiol. 124, 129-148.
25. Wan, H.A., Hunter, A., 1997. On artificial adaptive agents models of stock markets. Simulation 68 (5), 279-289.
26. Whigham, P., Recknagel, F., 2001a. An inductive approach to ecological time series modelling by evolutionary computation. Ecol Model 146, 275-287.
27. Whigham, P., Recknagel, F., 2001b. Predicting chlorophyll-a in freshwater lakes by hybridising process-based models and genetic algorithms. Ecol Model 146, 243-251.