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Further research should also expand the analysis considering wider neighborhoods,
which comprise more than one frame around the cell, if necessary assigning an
influence decreasing with distance.
In the end, you might consider to review the family of models considered in this
analysis, changing completely or simply evolving forward a hybrid model, integrating
our CA with spatial interaction models and/or multiagent systems, which are capable
to reproduce such dynamics that may escape the CA.
References
1.
Batty, M., Torrens, P.: Modeling complexity - The limits to prediction, paper presented at
the 12
th
European Colloquium on Quantitative & Theoretical Geography, September 7-11,
2001, St. Valery en Caux, France
2.
Cheney, M.: Inverse boundary-value problems. American Scientist vol. 85 (1997) 448-455
3.
Groetsch, C.W.: Inverse problems in the mathematical sciences, Vieweg, Braunschweig,
Wiesbaden (1993)
4.
Najim, K., Poznyak, A.S., Gomez-Ramirez, E.: Self-learning control of finite Markov
chains, Marcel Dekker Inc., New York, NY (2000)
