This book discusses the design and implementation of a mind or
mental architecture for a machine to autonomously learn, analyze
and synthesize spatial language. A new direction is taken to model
the spatial language in a deterministic way using entities
properties and their interactions. The spatial words such as on,
in, over, under, above, below, inside, outside, behind, in front
of, back, front, left, right, beside, between, among, near and far
are modeled and learned. In contrast, current works use collocation
information of words to learn the spatial concepts. The book
discusses the spatial language understanding, spatial language
generation and spatial language visualization methodologies as
simple as possible. This book is very useful for those who work in
the areas of robotics, natural language understanding,
human-machine interaction, symbol grounding, spatial language
visualization and text to 3D scene conversion.
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