Saygin, A.P. (2001) 'Review of Horn, R. et.al. Mapping Great Debates: Can Computers Think? Seven maps and a handbook'. Minds and Machines 11(3): 442-445

Anyone interested in artificial intelligence knows how difficult it can be to find comprehensive material on the subject. Textbooks usually cannot cover all interdisciplinary aspects, and review papers are typically specialized in a particular area within the field. This poses a problem for students, but can also be a serious difficulty for the advanced researcher. Few people would claim to have competency in all aspects of artificial intelligence research. The field knows no disciplinary boundaries and the arguments span decades. Articles can be hard to locate and scattered across publications relevant to several different disciplines. Bibliographies can easily miss older or more obscure articles that may be of interest. Comprehensive and interdisciplinary resources that can act as starting points for learning or teaching artificial intelligence are increasingly needed as the field rapidly gains importance, depth and breadth. Consider a few examples: You may have spent years working in artificial intelligence, but still need direction to find information on a question outside your area of focus. Or you may be a student who heard about Searle’s Chinese Room (1980) in class and are interested in finding out what sort of responses this argument received. Or perhaps you are writing a paper on the Turing Test, sitting among a huge pile of papers spanning 50 years, trying to figure out “who-said-what-to-whom”... Where do you go? Would you ask your colleagues or your professors? Would you go to the library or search the web? Wouldn’t it be good if you had a resource to giv