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Volcano: Enabling Correctness by Design
Published in Richard Zurawski, Networked Embedded Systems, 2017
In Volcano there are three types of signals: Integer signals. These represent unsigned numbers and are of a static size between 1 and 16 bits. So, for example, a 16 bit signal can store integers in the range 0–65,535.Boolean signals. These represent truth conditions (true/false). Note that this is not the same as a 1 bit integer signal (which stores the integer values 0 or 1).Byte signals. These represent data with no Volcano-defined structure. A byte signal consists of a fixed number between 1 and 8 bytes.
Cognitively Viable Computational Models of Linguistic Knowledge
Published in Shalom Lappin, Deep Learning and Linguistic Representation, 2020
The classical formal semantic program (Davidson, 1967; Montague, 1974) seeks a recursive definition of a truth predicate which entails appropriate truth conditions for each declarative sentence in a language. To the extent that it is successful, a generalised multi-modal MT model would achieve the core part of this program. It would specify suitable correspondences between sentences and sets of situations that the sentences describe. These correspondences are produced not by a recursive definition of a truth predicate, but by an extended DNN language model.
Improved learning from data competitions through strategic design of training and test data sets
Published in Quality Engineering, 2019
Christine M. Anderson-Cook, Lu Lu, Kary L. Myers, Kevin R. Quinlan, Norma Pawley
Sections “Select diverse data that adequately cover the region of interest” through “Create leaderboard scoring that ranks performance to match competition goals” describe the strategies used for improving data selection and construction in order to host effective data competitions, whether with simulated data or with measured data. Each section includes details about how these strategies were incorporated into the urban radiological search competition where data were simulated. We also include ideas for incorporating each strategy when selecting a subset of available observed or experimental data. It is important to note that there are substantially different pros and cons to using simulated vs. measured data in a competition. Simulated data should have more associated flexibility about which runs to generate, but likely involves some simplifications to the real world. Measured data likely results in having less available data from which to draw, and there may be some uncertainty about ground truth conditions under which they were collected, particularly if the data were observed and not experimentally designed. However, by definition measured data are more realistic, since it came from an actual collection. Which choice of the data data source to use for a data competition likely is a function of availability. Finally, Section “Conclusions” provides some discussion and general conclusions.
Logical connectives for two-state semantics
Published in Journal of Applied Non-Classical Logics, 2023
Marta Cialdea Mayer, Luis Fariñas del Cerro
The truth conditions for implication and negation amount to the usual ones in Kripke semantics for intuitionistic logic, when : if for all , if then ; if for all , .