Matches in SemOpenAlex for { <https://semopenalex.org/work/W2797615547> ?p ?o ?g. }
- W2797615547 abstract "More than 50 years ago Bongard introduced 100 visual concept learning problems as a testbed for intelligent vision systems. These problems are now known as Bongard problems. Although they are well known in the cognitive science and AI communities only moderate progress has been made towards building systems that can solve a substantial subset of them. In the system presented here, visual features are extracted through image processing and then translated into a symbolic visual vocabulary. We introduce a formal language that allows representing complex visual concepts based on this vocabulary. Using this language and Bayesian inference, complex visual concepts can be induced from the examples that are provided in each Bongard problem. Contrary to other concept learning problems the examples from which concepts are induced are not random in Bongard problems, instead they are carefully chosen to communicate the concept, hence requiring pragmatic reasoning. Taking pragmatic reasoning into account we find good agreement between the concepts with high posterior probability and the solutions formulated by Bongard himself. While this approach is far from solving all Bongard problems, it solves the biggest fraction yet." @default.
- W2797615547 created "2018-04-24" @default.
- W2797615547 creator A5015277967 @default.
- W2797615547 creator A5071328699 @default.
- W2797615547 creator A5089744549 @default.
- W2797615547 date "2018-04-12" @default.
- W2797615547 modified "2023-09-27" @default.
- W2797615547 title "Solving Bongard Problems with a Visual Language and Pragmatic Reasoning." @default.
- W2797615547 cites W1488252886 @default.
- W2797615547 cites W1491175367 @default.
- W2797615547 cites W1540302538 @default.
- W2797615547 cites W1542417898 @default.
- W2797615547 cites W1597739853 @default.
- W2797615547 cites W1606219729 @default.
- W2797615547 cites W1849277567 @default.
- W2797615547 cites W1932198206 @default.
- W2797615547 cites W1983164551 @default.
- W2797615547 cites W1986669721 @default.
- W2797615547 cites W1993979041 @default.
- W2797615547 cites W1994205671 @default.
- W2797615547 cites W1999908130 @default.
- W2797615547 cites W2027214577 @default.
- W2797615547 cites W2027796863 @default.
- W2797615547 cites W2055986305 @default.
- W2797615547 cites W2088222928 @default.
- W2797615547 cites W2099972257 @default.
- W2797615547 cites W2105096388 @default.
- W2797615547 cites W2107647130 @default.
- W2797615547 cites W2122988375 @default.
- W2797615547 cites W2142336306 @default.
- W2797615547 cites W2147611619 @default.
- W2797615547 cites W2156406284 @default.
- W2797615547 cites W2173959313 @default.
- W2797615547 cites W2187800623 @default.
- W2797615547 cites W2194321275 @default.
- W2797615547 cites W2246013387 @default.
- W2797615547 cites W2285184610 @default.
- W2797615547 cites W2340316421 @default.
- W2797615547 cites W2535873859 @default.
- W2797615547 cites W2561715562 @default.
- W2797615547 cites W2598961534 @default.
- W2797615547 cites W2662969263 @default.
- W2797615547 cites W2741637732 @default.
- W2797615547 cites W2753523665 @default.
- W2797615547 cites W2755020525 @default.
- W2797615547 cites W2919115771 @default.
- W2797615547 cites W2951619830 @default.
- W2797615547 cites W2953276893 @default.
- W2797615547 cites W2964153729 @default.
- W2797615547 cites W88030730 @default.
- W2797615547 cites W2130606937 @default.
- W2797615547 hasPublicationYear "2018" @default.
- W2797615547 type Work @default.
- W2797615547 sameAs 2797615547 @default.
- W2797615547 citedByCount "5" @default.
- W2797615547 countsByYear W27976155472019 @default.
- W2797615547 countsByYear W27976155472020 @default.
- W2797615547 countsByYear W27976155472021 @default.
- W2797615547 crossrefType "posted-content" @default.
- W2797615547 hasAuthorship W2797615547A5015277967 @default.
- W2797615547 hasAuthorship W2797615547A5071328699 @default.
- W2797615547 hasAuthorship W2797615547A5089744549 @default.
- W2797615547 hasConcept C107457646 @default.
- W2797615547 hasConcept C107673813 @default.
- W2797615547 hasConcept C138885662 @default.
- W2797615547 hasConcept C154945302 @default.
- W2797615547 hasConcept C15744967 @default.
- W2797615547 hasConcept C160234255 @default.
- W2797615547 hasConcept C188147891 @default.
- W2797615547 hasConcept C204321447 @default.
- W2797615547 hasConcept C2776214188 @default.
- W2797615547 hasConcept C2777508537 @default.
- W2797615547 hasConcept C2777601683 @default.
- W2797615547 hasConcept C2780878386 @default.
- W2797615547 hasConcept C31258907 @default.
- W2797615547 hasConcept C31395832 @default.
- W2797615547 hasConcept C41008148 @default.
- W2797615547 hasConcept C41895202 @default.
- W2797615547 hasConceptScore W2797615547C107457646 @default.
- W2797615547 hasConceptScore W2797615547C107673813 @default.
- W2797615547 hasConceptScore W2797615547C138885662 @default.
- W2797615547 hasConceptScore W2797615547C154945302 @default.
- W2797615547 hasConceptScore W2797615547C15744967 @default.
- W2797615547 hasConceptScore W2797615547C160234255 @default.
- W2797615547 hasConceptScore W2797615547C188147891 @default.
- W2797615547 hasConceptScore W2797615547C204321447 @default.
- W2797615547 hasConceptScore W2797615547C2776214188 @default.
- W2797615547 hasConceptScore W2797615547C2777508537 @default.
- W2797615547 hasConceptScore W2797615547C2777601683 @default.
- W2797615547 hasConceptScore W2797615547C2780878386 @default.
- W2797615547 hasConceptScore W2797615547C31258907 @default.
- W2797615547 hasConceptScore W2797615547C31395832 @default.
- W2797615547 hasConceptScore W2797615547C41008148 @default.
- W2797615547 hasConceptScore W2797615547C41895202 @default.
- W2797615547 hasLocation W27976155471 @default.
- W2797615547 hasOpenAccess W2797615547 @default.
- W2797615547 hasPrimaryLocation W27976155471 @default.
- W2797615547 hasRelatedWork W114778266 @default.
- W2797615547 hasRelatedWork W1486507337 @default.
- W2797615547 hasRelatedWork W1534704404 @default.