Alan K. Mackworth's Publications

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Cooperative Systems for Perceptual Tasks in a Remote Sensing Environment

Alan K. Mackworth. Cooperative Systems for Perceptual Tasks in a Remote Sensing Environment. In Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 819–822, Vancouver, BC, 1989.

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Abstract

To design and implement knowledge-based systems for perceptual tasks, such as interpreting remotely­ sensed data, we must first evaluate the appropriateness of current expert system methodology for these tasks. That evaluation leads to four conclusions which form the basis for the theoretical and practical work described in this paper. The first conclusion is that we should build 'cooperative systems' that advise and cooperate with a human interpreter rather than 'expert systems' that replace her. The second conclusion is that cooper­ ative systems should place the user and the system in symmetrical roles where each can query the other for facts, rules, explanations and interpretations. The third conclusion is that most current expert system technol­ ogy is ad hoc. Formal methods based on logic lead to more powerful, and better understood systems that are just as efficient when implemented using modem Pro­ log technology. The fourth conclusion is that, although the first three conclusions can be, arguably, accepted for high-level rule-based symbol-manipulation tasks, there are difficulties in accepting them for perceptual tasks that rely on visual expertise. In the rest of the paper work on overcoming those difficulties in the remote sensing environment is described. In particular, the is­ sues of representing and reasoning about image forma­ tion, map-based constraints, shape descriptions and the semantics of depiction are discussed with references to theories and prototype systems that address them.

@InProceedings{IGRS89,
  author =	 {Alan K. Mackworth},
  title =	 {Cooperative Systems for Perceptual Tasks in a Remote Sensing Environment},
  year =	 {1989},
  booktitle =	 {Proceedings of the International Geoscience and Remote Sensing Symposium},
  address =      {Vancouver, BC}
  pages =         {819--822},
  abstract =	 {To design and implement knowledge-based systems 
for perceptual tasks, such as interpreting remotely­
sensed data, we must first evaluate the appropriateness 
of current expert system methodology for these tasks. 
That evaluation leads to four conclusions which form 
the basis for the theoretical and practical work described 
in this paper. The first conclusion is that we should 
build 'cooperative systems' that advise and cooperate 
with a human interpreter rather than 'expert systems' 
that replace her. The second conclusion is that cooper­
ative systems should place the user and the system in 
symmetrical roles where each can query the other for 
facts, rules, explanations and interpretations. The third 
conclusion is that most current expert system technol­
ogy is ad hoc. Formal methods based on logic lead to 
more powerful, and better understood systems that are 
just as efficient when implemented using modem Pro­
log technology. The fourth conclusion is that, although 
the first three conclusions can be, arguably, accepted for 
high-level rule-based symbol-manipulation tasks, there 
are difficulties in accepting them for perceptual tasks 
that rely on visual expertise. In the rest of the paper 
work on overcoming those difficulties in the remote 
sensing environment is described. In particular, the is­
sues of representing and reasoning about image forma­
tion, map-based constraints, shape descriptions and the 
semantics of depiction are discussed with references to 
theories and prototype systems that address them.},
  bib2html_pubtype ={Refereed Conference Proceeding},
  bib2html_rescat ={},
}

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