@inproceedings{8b4e617b088a4e5c91c72033cb11e32a,
title = "Recognizing geospatial patterns with biologically-inspired relational reasoning",
abstract = "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.",
keywords = "Relational reasoning, analogy, geospatial",
author = "Paul Kogut and June Gordon and David Morgenthaler and John Hummel and Edward Monroe and Ben Goertzel and Ethan Trewhitt and Elizabeth Whitaker",
year = "2011",
doi = "10.3233/978-1-60750-959-2-203",
language = "English (US)",
isbn = "9781607509585",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "203--208",
booktitle = "Biologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society",
}