Error Correction In Large-Scale Cognitive Maps

Research output: Contribution to journalArticle

Abstract

A mobile robot that maintains a dynamic cognitive map will often find that the information in the map is contradicted by his perceptions, and is therefore incorrect. Such errors may be the result of an earlier misperception, an erroneous matching, an erroneous default inference, computational errors, a change in the world over time, or an erroneous previous error correction. Due to the complexity of inference in forming cognitive maps, domain-independent strategies for error correction, such as data-dependencies or conditional probabilities, are not sufficient by themselves to give a robust error correction scheme. Rather, domain-specific techniques and heuristics must be applied. We discuss some of the basic issues involved in detecting, diagnosing and correcting errors in the cognitive map. We also discuss how a robot may decide whether to take actions in order to gather relevant information.

Original languageEnglish (US)
Pages (from-to)332-337
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1003
DOIs
StatePublished - Jan 5 1989

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Cognitive Map
Error correction
Error Correction
Data Dependency
Conditional probability
robots
inference
Mobile Robot
Robot
Heuristics
Mobile robots
Sufficient
Robots

ASJC Scopus subject areas

  • Applied Mathematics
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering
  • Computer Science Applications

Cite this

Error Correction In Large-Scale Cognitive Maps. / Davis, Ernest.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 1003, 05.01.1989, p. 332-337.

Research output: Contribution to journalArticle

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