Towards learning naive physics by visual observation: Qualitative spatial representations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2256, Issue , 2001, Pages 62-70

  Boxer, Paul A ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; STATISTICAL TESTS;

DISCRETE STATE; NETWORK TECHNIQUES; QUALITATIVE SPATIAL REPRESENTATIONS; SPATIAL REPRESENTATIONS; TEST SCENARIO; TRAINING SCENARIO; UNCONSTRAINED ENVIRONMENTS; VISUAL OBSERVATIONS;

ARTIFICIAL INTELLIGENCE;

EID: 84944890860     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45656-2_6     Document Type: Conference Paper

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