Computational Intelligence in Archaeology

Computational Intelligence in Archaeology

Indexed In: SCOPUS View 2 More Indices
Release Date: July, 2008|Copyright: © 2009 |Pages: 436
DOI: 10.4018/978-1-59904-489-7
ISBN13: 9781599044897|ISBN10: 1599044897|EISBN13: 9781599044910
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Archaeology
  • Artificial Intelligence
  • Automated archaeology
  • Compositional analysis
  • Genetic Algorithms
  • Historical sciences
  • Inverse reasoning
  • Neuroclassification
  • Neurocomputing
  • Remote Sensing Data
  • Self-organized maps
  • Shape analysis
  • Spatial interpolation
  • Spatiotemporal analysis
  • Visual and non-visual analysis
Reviews & Statements

This book investigates what it means to solve 'automatically' archaeological problems.

– Juan A. Barcelo, Universidad Autonoma de Barcelona, Spain

This book teaches students and research scientists in this field how to employ new approaches to reconstruct data.

– Book News Inc. (September 2008)

This excellent book is essential reading for those people interested i cultural heritage, those wishing to understand the cutting-edge key debates in 'new (digitial) technology.' and those who want to appraise the limitless growing innovations, affordances, and improvements of digital technologies applied to archaeology.

– Computing Reviews (January 2009)
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Editor/Author Biographies
Dr. Joan Antón Barceló i Àlvarez is Reader in the Department of Prehistory, Universitat Autònoma de Barcelona (Catalonia. Spain), where he teaches undergraduate and graduate courses on archaeological theory and methods. He is currently Head of the Laboratory for Quantitative Archaeology and Computer Applications, providing curricular support and technology training for faculty, staff, and students. In addition to his research in the applications of classical statistical tools, and the development of new methodologies from geostatistics, artificial intelligence and virtual reality, he has worked extensively on historical and archaeological investigations about social dynamics in Bronze Age times, Phoenician colonization in the Mediterranean, the origins of agriculture and social complexity in the Near East, and economic resource management and social organization in hunter-gatherer societies in the southernmost parts of America: Patagonia and Tierra del Fuego. He is now investigating long-term dynamics of Patagonian hunter-gatherer societies, with funding from the Spanish Ministry for Education and Research. He has authored a previous book on artificial intelligence applications in archaeology (in Spanish), and another book on statistical methods. He has also edited books on computer applications in archaeology and about virtual reality technologies. He is the author or co-author of more than 100 papers and publications.

His web page can be found at: http://seneca.uab.cat/prehistoria/Barcelo

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