aquatic 发表于 2025-3-26 23:49:13
http://reply.papertrans.cn/29/2837/283632/283632_31.pngGLOOM 发表于 2025-3-27 05:12:41
http://reply.papertrans.cn/29/2837/283632/283632_32.png领带 发表于 2025-3-27 08:47:56
,A Spatial Logic with Time and Quantifiers,er SLCS, the Spatial Logic for Closure Spaces, recently used for describing features of images and video frames. We extend SLCS in two directions. We first introduce first-order quantifiers, ranging on both individuals and atomic propositions. We then equip the logic with temporal operators, and pro听觉 发表于 2025-3-27 12:48:43
http://reply.papertrans.cn/29/2837/283632/283632_34.png昏迷状态 发表于 2025-3-27 16:46:36
,Axiomatization of Hybrid Logic of Link Variations, global operators, the logic . of global link variations based on hybrid logic . is introduced, which involves global link cutting, adding and rotating simultaneously. A Hilbert-style calculus . is provided. By constructing families of canonical models inductively, we prove that the calculus . is soMyofibrils 发表于 2025-3-27 18:16:47
,Kleene Algebra of Weighted Programs with Domain, represent optimization problems and, in general, programs whose execution traces carry some sort of weight. Batz et al. show that a weighted version of Dijkstra’s weakest precondition operator can be used to reason about the competitive ratios of weighted programs. In this paper we study a proposit爆米花 发表于 2025-3-28 00:23:01
,Automated Quantum Program Verification in Dynamic Quantum Logic,mated approach to quantum program verification at the cost of simplifying DQL to Basic Dynamic Quantum Logic (BDQL). We first formalize quantum states, quantum gates, and projections in bra-ket notation and use a set of laws from quantum mechanics and matrix operations to reason on quantum computatiCalibrate 发表于 2025-3-28 04:37:23
http://reply.papertrans.cn/29/2837/283632/283632_38.pngMANIA 发表于 2025-3-28 07:57:49
,Learning by Intervention in Simple Causal Domains,servable and that the underlying causal structure is of a simple nature. We adapt the frameworks of the (epistemic) causal models from [., .], and propose a model inspired by action learning [., .]. We present two learning methods, using formal and algorithmic approaches. Our learning agents infer dParley 发表于 2025-3-28 10:39:03
http://reply.papertrans.cn/29/2837/283632/283632_40.png