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024 7 _a10.1007/978-3-031-65112-0
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050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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245 1 0 _aAI Verification
_h[electronic resource] :
_bFirst International Symposium, SAIV 2024, Montreal, QC, Canada, July 22–23, 2024, Proceedings /
_cedited by Guy Avni, Mirco Giacobbe, Taylor T. Johnson, Guy Katz, Anna Lukina, Nina Narodytska, Christian Schilling.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aIX, 189 p. 54 illus., 46 illus. in color.
_bonline resource.
336 _atext
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_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14846
520 _aThis LNCS volume constitutes the proceedings of the First International Symposium on AI Verification, SAIV 2024, in Montreal, QC, Canada, during July 2024. The scope of the topics was broadly categorized into two groups. The first group, formal methods for artificial intelligence, comprised: formal specifications for systems with AI components; formal methods for analyzing systems with AI components; formal synthesis methods of AI components; testing approaches for systems with AI components; statistical approaches for analyzing systems with AI components; and approaches for enhancing the explainability of systems with AI components. The second group, artificial intelligence for formal methods, comprised: AI methods for formal verification; AI methods for formal synthesis; AI methods for safe control; and AI methods for falsification.
650 0 _aArtificial intelligence.
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650 1 4 _aArtificial Intelligence.
_958441
700 1 _aAvni, Guy.
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700 1 _aGiacobbe, Mirco.
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700 1 _aJohnson, Taylor T.
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700 1 _aKatz, Guy.
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700 1 _aLukina, Anna.
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700 1 _aNarodytska, Nina.
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700 1 _aSchilling, Christian.
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830 0 _aLecture Notes in Computer Science,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-65112-0
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