This unique work introduces the basic principles of artificial intelligence with applications in geographical teaching and research, GIS, and planning. Written in an accessible, non-technical and witty style, this book marks the beginning of the Al revolution in geography with major implications for teaching and research. The authors provide an easy to understand basic introduction to Al relevant to geography. There are no special mathematical and statistical skills needed, indeed these might well be a hindrance. Al is a different way of looking at the world and it requires a willingness to experiment, and readers who are unhindered by the baggage of obsolete technologies and outmoded philosophies of science will probably do best. The text provides an introduction to expert systems, neural nets, genetic algorithms, smart systems and artificial life and shows how they are likely to transform geographical enquiry.
Stan Openshaw is a retired British geographer. His last post was professor of human geography based in the School of Geography at the University of Leeds. After eighteen years at Newcastle University, including three years as professor of quantitative geography, he moved to work in Leeds in 1992. Christine Openshaw is the author of Artificial Intelligence in Geography, published by Wiley.
Artificial Intelligence and Geography.
A Brief History of Artificial Intelligence.
Heuristic Search in Geography.
Expert Systems and Intelligent Knowledge-based Systems.
Neurocomputing.
Applying Artificial Neural Networks.
Evolutionary Computation, Genetic Algorithms, Evolution Strategiesand Genetic Programming.
Artificial Life.
Fuzzy Logic, Fuzzy Systems and Soft Computing.
Conclusions and Epilogue.
Index.