Deeply Semantic Inductive Spatio-Temporal Learning

• We present an inductive spatio-temporal learning framework rooted ininductive logic programming. With an emphasis on visuo-spatial language, logic,and cognition, the framework supports learning with relational spatio-temporalfeatures identifiable in a range of domains involving the processing and interpre-tation of dynamic visuo-spatial imagery. We present a prototypical system, andan example application in the domain of computing for visual arts and computa-tional cognitive science.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Spatio-Temporal Learning; Dynamic Visuo-Spatial Imagery; Declar-ative Spatial Reasoning; Inductive Logic Programming; AI and Art

Publication and Content Type

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