Recognizing geospatial patterns with biologically-inspired relational reasoning

Paul Kogut, June Gordon, David Morgenthaler, John Hummel, Edward Monroe, Ben Goertzel, Ethan Trewhitt, Elizabeth Whitaker

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Relational reasoning is a complex high-level cognitive function that should be part of a realistic computational equivalent of the human mind. People use relational reasoning often in everyday life in many different contexts (e.g., social understanding, political science, law, business). This paper discusses the application of relational reasoning to the recognition of geospatial patterns (e.g., clusters of buildings that constitute a facility). The relational reasoning model is based on cognitive science evidence and emerging neuroscience theory. Experiments show that the relational reasoning model can recognize geospatial patterns that have a significant degree of variation.

Original languageEnglish (US)
Title of host publicationBiologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society
PublisherIOS Press BV
Number of pages6
ISBN (Print)9781607509585
StatePublished - 2011

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314


  • Relational reasoning
  • analogy
  • geospatial

ASJC Scopus subject areas

  • Artificial Intelligence


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