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Education Research: Quality of Narrative Feedback Generated by a Large Language Model Compared With Expert Faculty for Case-Based Learning in Neurology Education. [PDF]
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Probabilistic quantitative temporal reasoning
Proceedings of the Symposium on Applied Computing, 2017Temporal reasoning, in the form of propagation of temporal constraints, is an important topic in Artificial Intelligence. The current literature in the area is moving from the treatment of "crisp" temporal constraints to fuzzy or probabilistic constraints, to account for different forms of uncertainty and\or preferences.
Terenziani P., Andolina A.
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Automata-Based Quantitative Reasoning
ACM SIGLOG News, 2023Existing solution approaches for problems in formal quantitative analysis suffer from two challenges that adversely impact their theoretical understanding and large-scale applicability. These are the lack of generalizability , and separation-of-techniques.
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Indeterminateness in qualitative and quantitative reasoning
Proceedings of 7th International Conference and Workshop on Database and Expert Systems Applications: DEXA 96, 2002A central issue of expert systems is the man-machine interface. One of its most ergonomic realizations is a natural language interface. Uncertainty and indeterminateness are main properties of a natural language. While there are many formalisms dealing with uncertainty, there still is a strong need of those modeling indeterminateness.
Daniel Zboril, Florian Metze
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Parametric quantitative temporal reasoning
Proceedings. 14th Symposium on Logic in Computer Science (Cat. No. PR00158), 2003We define Parameterized Real-Time Computation Tree Logic (PRTCTL), which allows quantitative temporal specifications to be parameterized over the natural numbers. Parameterized quantitative specifications are quantitative specifications in which concrete timing information has been abstracted away.
E. Allen Emerson, Richard J. Trefler
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MAS: Qualitative and Quantitative Reasoning
2012In a former work, we have presented/implemented a framework for modeling and verifying multi-agent systems, using hybrid automata. To specify properties of those systems, one needs a specification language that brings, at the same level of specification, both the qualitative and quantitative requirements.
Ammar Mohammed, Ulrich Furbach
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