O. L. CORONA ET AL.
complete enough, which can be achieved by considering the
following key points: 1) scientific approach to environmental
problems and the use of computer simulation promotes coop-
eration but only if adequate translation is made to make this
scientific knowledge accessible to all participants; 2) as infor-
mation index includes proponent’s credibility, mechanisms to
track the reputation of participants like the mentioned above are
highly recommended.
Acknowledgements
This study was supported by a CONACyT fellowship in the
UNAM’s Earth Science Grad School, a grant from CONA-
CYT's program 90219 of the Instituto de Ecología A.C. and by
UNAM'S PAPIIT ptoject: IN229109 “Modelación espacial y
manejo de recursos naturales en la región de Chamela-Cuix-
mala en la costa de Jalisco”. We thank Miguel Equihua, Fer-
nando Salmerón, Jose Luis Palacio, Mría Luisa Martínez and
Bianca Delfosse for constructive comments on the manuscript.
REFERENCES
Andrei, N. (2004). Theory versus empiricism in analysis of optimization
algorithms. Bucharest: Technical Press.
Alshuwaikhat, H. M., & Aina, Y. A. (2004). Sustainable cities: Imple-
mentation of strategic environmental assessment in Saudi Arabian
municipalities. Journal of Environmental Planning and Management,
47, 303-311.
Back, T. (1995). Evolutionary algorithms in theory and practice. Ox-
ford: Oxford University Press.
Bellman, R. (1957). Dynamic programming. Princeton, NJ: Princeton
University Press.
Bennet, S. (1979). A history of control engineering 1800-1930. IEEE
Control Engineering S e r i e s , 8. Hitchin: Peter Peregrinus Ltd.
doi:10.1049/PBCE008E
Bonacich, P. (1995). Four kinds of social dilemmas within exchange
networks. Current Research in Social Psychology, 1, 1-7.
Burke, J., & Monch, M. (2000). Groundwater and society: Resources,
tensions and opportunities. United Nations Publication ST/ESA/205.
Costanza, R., & Cornwell, L. (1992). The 4P approach to dealing with
scientific uncertainty. Environment, 34, 12-20, 42.
doi:10.1080/00139157.1992.9930930
Das, A., & Datta, B. (1999). Development of multiobjective manage-
ment models for coastal aquifers. Journal of Water Resources Plan-
ning and Management, American Society of Civil Engineers, 125,
76-78.
Fogel, D. (2006). Evolutionary computation: Toward a new philosophy
of machine intelligence. Hoboken, NJ: Joh n Wiley and Sons.
Foster, S., Lawrence, A., & Morris, B. (1998). Groundwater in urban
development: Assessing management needs and formulating policy
strategies. Washington DC: World Bank Publications.
Gilpin, A. (1995). Environmental impact assessment: Cutting edge for
the twenty-first century (p. 182). Cambridge: Cambridge University
Press.
Goldsmith, B. (1991). Monitoring for conservation and ecology. (p.
275). London: Chapman & Hall. doi:10.1007/978-94-011-3086-8
Hisschemller, M., Tol, R., & Vellinga, P. (2001). The relevance of
participatory approaches in integrated environmental assessment. In-
tegrated Assessment, 2, 57-72. doi:10.1023/A:1011501219195
Holling, C. (1978). Adaptive environmental assessment and manage-
ment (p. 377). Ch ic he st er: John Wiley.
Jakeman, A., & Letcher, R. (2003). Integrated assessment and modeling:
features, principles and examples for catchment management. Envi-
ronmental Modeling & Software, 18, 491-501.
doi:10.1016/S1364-8152(03)00024-0
Jones, L., Willis, R., & Yeh, W. (1987). Optimal control of nonlinear
groundwater hydraulics using differential dynamic programming.
Water Resources Research, 23, 2097-2107.
doi:10.1029/WR023i011p02097
Lawrence, D. (1997). Integrating sustainability and environmental
impact assessment. Environmental M a nagement, 21, 23-42.
doi:10.1007/s002679900003
Lejano, R., & Davos, C. (1999). Cooperative solutions for sustainable
resource management. Environmental Management, 24, 167-175.
Magnuszewski, P., Sendzimir, J., & Kronenberg, J. (2005). Conceptual
modeling for adaptive environmental assessment and management in
the Barycz Valley, Lower Silesia, Poland. International Journal of
Environmental Research and Public Health, 2, 194-203
McKelvey R., McLennan, A., & Turocy, T. (2007). Gambit: Software
tools for game theory, Version 0.2007.01.30. URL (last checked 26
December 2012). http://www.gambit-project.org.
Millinski, M., Semmann, D., & Krambeck, H. (2002). Reputation helps
solve the “tragedy of the commons”. Nature, 415, 424-426.
doi:10.1038/415424a
Nash, J. F. (1950). The bargaining problem. Econometrica, 18, 155-162.
doi:10.2307/1907266
Noble, B. F. (2000) Strategic environmental assessment: What is it and
what makes it strategic? Journal of Environmental Assessment Policy
and Management, 2, 203-224.
Nowak, M., & Sigmund, K. (1998). Evolution of indirect reciprocity by
image scoring. Natu re, 393, 573-577. doi:10.1038/31225
Ostrom, E., Burger, J., Field, C., Norgaard, R., & Policansky, D. (1999).
Revisiting the commons: Local lessons, global challenges. Science,
284, 278-282. doi:10.1126/science.284.5412.278
Pardo, M. (1997). Environmental impact assessment: Myth or reality?
Lessons from Spain. Environmental Impact Assessment Review, 17,
123-142. doi:10.1016/S0195-9255(96)00080-7
Pérez-Maqueo, O. (2004). Las manifestaciones de impacto ambiental:
Un análisis crítico. Doctoral Thesis, Xalapa: Instituto de Ecología,
A.C.
Porter, T. (1995). Trust in numbers: The pursuit of objectivity in sci-
ence and public life (p. 310). Pricenton, NJ: Pricenton University
Press.
Poundstone, W. (1993). Prisoner’s dilemma (p. 294). New York: An-
chor Books.
Rotmans, J. (1998). Methods for IA challenges and opportunities ahead.
Environmental Modeling and Assessment, 3, 155-179.
doi:10.1023/A:1019019024003
Rotmans, J., & Dowlatabadi, H. (1997). Integrated assessment of cli-
mate change: Evaluation of methods and strategies. In R. Majone, &
S. Rayner (Eds.), Human choices and climate change: A state of the
art report. Washington DC: Batelle Pacific Northwest Laboratories.
Rousseau, J. (1761). A discourse upon the origin and foundation of the
inequality among mankind. London: R. a nd J. Dodsley.
Routh, E. (1877). A treatise on the stability of a given state of motion,
particularly steady motion. London: Macmillan and Co.
Sadler, B. (1999). Environmental sustainability assessment and assur-
ance. In J. Petts, (Ed.), Handbook on environmental impact assess-
ment (pp. 12-32) . London: Blackwell.
Sastry, K. (2006). Single & Multi-objective genetic algorithms toolbox.
Illinois Genetic Algorithms Laboratory Department of Industrial and
Enterprise Systems Engineering University of Illinois at Urbana-
Champaign. URL (last chec ked 2 6 Dece mber 2012).
http://www.kumarasastry.com
Schneider, S. (1997). Defining and teaching environmental literacy.
Trends in Evolution and Ecology, 12, 457.
Siebenhner, B. (2004). Social learning and sustainability science:
Which role can stakeholder participation play? International Journal
of Sustainable Development, 7, 144-163.
doi:10.1016/S0169-5347(97)01207-X
Sinclair, J. & Diduck, A. (1995). Public education: An undervalued
component of the environmental assessment public involvement
process. Environmental Impact Assessment Review, 15, 219-240.
Suter, G. (1993). Ecological risk assessment (p. 538). Michigan: Lewis
Publishers.
Tellegen, E., & Wolsink, M. (1998). Society and its environment. An
introduction (p. 275). Reading: Gordon and Breach Science Publish-
ers.
Toth, F., & Hizsnyik, E. (1998). Integrated environmental assessment
Copyright © 2012 SciR es .
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