TOPOLOGY.bib

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@ARTICLE{fleck1996topology,
  AUTHOR = {Margaret M. Fleck},
  TITLE = {The topology of boundaries},
  JOURNAL = {Artificial Intelligence},
  YEAR = {1996},
  OPTKEY = {},
  VOLUME = {80},
  NUMBER = {1},
  PAGES = {1-27},
  OPTMONTH = {January},
  PDF = {/sci_docs/physics/papers/AI/fleck1996topology.pdf},
  ROPSECTIONS = {TOPOLOGY},
  ABSTRACT = {High-level representations used in reasoning
                  distinguish a special set of boundary locations, at
                  which function values can change abruptly and across
                  which adjacent regions may not be
                  connected. Standard models of space and time, based
                  on segmenting R^n , do not allow these possibilities
                  because they have the wrong topological structure at
                  boundaries. This mismatch has made it difficult to
                  develop formal mathematical models for high-level
                  reasoning algorithms. This paper shows how to modify
                  an R^n model so as to have an appropriate
                  topological structure. It then illustrates how the
                  new models support standard reasoning algorithms,
                  provide simple models for previously difficult
                  situations, and suggest interesting new analyses
                  based on change or non-change in scene topology.}
}

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