Computational Intelligence in Archaeology
Juan A. Barcelˇ
IGI Global Snippet, 2009 - Social Science - 418 pages
The vast quantity of archaeological data coming from excavations is now well beyond the traditional data processing tools. Computational archaeology creates an exhaustive analysis of technical and analytical needs in the archaeological sciences. Computational Intelligence in Archaeology provides analytical theories offered by new and innovative artificial intelligence computing methods in the archaeological domain. This stimulating, must-have title is full of archaeological examples that allow academicians, researchers, and students to understand a complex but very useful data analysis technique to the field of archaeology.
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activity agents algorithm analysis applications approach archaeological artifacts artificial intelligence artificial neural networks associated attributes automated archaeologist BARCELˇ Bayesian network behavior Cambridge causal classification cluster cognitive cognitive robot complex Computer Vision concepts Connectionism connections context decision tree defined domain dynamics environment example expert system explanation function fuzzy fuzzy logic genetic algorithm goal human hypothesis individual inference input instance interaction International interpretation knowledge logical machine learning material mechanisms methods neural network neurons nodes object observed output layer output units pattern perception performed possible pottery prediction present Press problem solving produced properties recognition relationships represent representation robot rules samples self-organized map shape similar simulation social action solution space spatial specific statistical structure supervised learning surface temporal texels texture theory tion training data unsupervised use-wear values variables vector visual weights