scholarly journals Graphical Transformation of OWL Ontologies to Event-B Formal Models

2022 ◽  
Vol 70 (2) ◽  
pp. 3733-3750
Author(s):  
Eman H. Alkhammash
Keyword(s):  
2016 ◽  
Vol 32 (1) ◽  
pp. 17-38 ◽  
Author(s):  
Florian Schmitz ◽  
Karsten Manske ◽  
Franzis Preckel ◽  
Oliver Wilhelm

Abstract. The Balloon-Analogue Risk Task (BART; Lejuez et al., 2002 ) is one of the most popular behavioral tasks suggested to assess risk-taking in the laboratory. Previous research has shown that the conventionally computed score is predictive, but neglects available information in the data. We suggest a number of alternative scores that are motivated by theories of risk-taking and that exploit more of the available data. These scores can be grouped around (1) risk-taking, (2) task performance, (3) impulsive decision making, and (4) reinforcement sequence modulation. Their theoretical rationale is detailed and their validity is tested within the nomological network of risk-taking, deviance, and scholastic achievement. Two multivariate studies were conducted with youths (n = 435) and with adolescents/young adults (n = 316). Additionally, we tested formal models suggested for the BART that decompose observed behavior into a set of meaningful parameters. A simulation study with parameter recovery was conducted, and the data from the two studies were reanalyzed using the models. Most scores were reliable and differentially predictive of criterion variables and may be used in basic research. However, task specificity and the generally moderate validity do not warrant use of the experimental paradigm for diagnostic purposes.


Author(s):  
Charles A. Doan ◽  
Ronaldo Vigo

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.


2018 ◽  
pp. 114-131
Author(s):  
O. Yu. Bondarenko

his article explores theoretical and experimental approach to modeling social interactions. Communication and exchange of information with other people affect individual’s behavior in numerous areas. Generally, such influence is exerted by leaders, outstanding individuals who have a higher social status or expert knowledge. Social interactions are analyzed in the models of social learning, game theoretic models, conformity models, etc. However, there is a lack of formal models of asymmetric interactions. Such models could help elicit certain qualities characterizing higher social status and perception of status by other individuals, find the presence of leader influence and analyze its mechanism.


2019 ◽  
pp. 38-42
Author(s):  
S. Yu. Strakhov ◽  
A. A. Karasev

Authors explore issue of applicability of the methodology of building diagnostic software using network formal models in the functional testing of electronic equipment as part of complex technical systems. Using methods of system analysis allows to perform a decomposition of interdependent subsystems and to reveal basic acts of interaction between the control‑verification equipment and the object of diagnosis. Mathematical apparatus of Petri nets should be employed for the formalized description of such acts and determined the cause‑and‑effect relations in the diagnosed complex system`s processes. Network models properties studying (such as safety and accomplishment of the final positions) allows us to move to the test object`s algorithm`s developing. The article presents an approach of a formalized description for basic acts of interaction between the diagnosis system and the object.


Author(s):  
Andrew Bacon

According to a fairly widespread assumption, there is some definite collection of completely factual or fundamental propositions upon which all truths supervene and which are unaffected by vagueness. This assumption manifests itself in formal models of vagueness as well—for example, the supervaluationist who represents propositions as sets of world-precisification pairs may divide logical space into propositions that only depend on the world-coordinate. This chapter argues that this assumption leads to paradoxes of higher-order vagueness, and, ultimately, should be rejected in favour of a weaker notion of fundamentality or factuality. It suggests an alternative picture in which there is vagueness ‘all the way down’: logical-space can be divided into basic propositions that settle all precise matters, but it is vague where those divisions lie.


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