33,382 research outputs found
Equilibrium States in Numerical Argumentation Networks
Given an argumentation network with initial values to the arguments, we look
for algorithms which can yield extensions compatible with such initial values.
We find that the best way of tackling this problem is to offer an iteration
formula that takes the initial values and the attack relation and iterates a
sequence of intermediate values that eventually converges leading to an
extension. The properties surrounding the application of the iteration formula
and its connection with other numerical and non-numerical techniques proposed
by others are thoroughly investigated in this paper
Probabilistic Argumentation. An Equational Approach
There is a generic way to add any new feature to a system. It involves 1)
identifying the basic units which build up the system and 2) introducing the
new feature to each of these basic units.
In the case where the system is argumentation and the feature is
probabilistic we have the following. The basic units are: a. the nature of the
arguments involved; b. the membership relation in the set S of arguments; c.
the attack relation; and d. the choice of extensions.
Generically to add a new aspect (probabilistic, or fuzzy, or temporal, etc)
to an argumentation network can be done by adding this feature to each
component a-d. This is a brute-force method and may yield a non-intuitive or
meaningful result.
A better way is to meaningfully translate the object system into another
target system which does have the aspect required and then let the target
system endow the aspect on the initial system. In our case we translate
argumentation into classical propositional logic and get probabilistic
argumentation from the translation.
Of course what we get depends on how we translate.
In fact, in this paper we introduce probabilistic semantics to abstract
argumentation theory based on the equational approach to argumentation
networks. We then compare our semantics with existing proposals in the
literature including the approaches by M. Thimm and by A. Hunter. Our
methodology in general is discussed in the conclusion
PercepciĆ³n de la salud de los niƱos expresada en el lenguaje creativo de los dibujos
Objective. Childrenās health perception through creative
drawing language the identification of external factors perceived
as negative or positive to health by children. Methodology. A
descriptive study that describes the analysis of the expressive
language of drawings and written comments. The sample
consisted of 130 children in 3rd and 4th classes from four
randomly selected schools, in the region of Central Portugal
Continental (Coimbra district). The study was conducted during
the first semester of 2011. The data collection was performed
by means of Rodriguesā drawing/writing sheet. This sheet is
divided in 4 areas (2 of them to draw what children consider
good for health and the other 2 to write the content or message
of the drawings). The themes expressed are classified based
on the priority areas for the promotion of healthy lifestyles.
Results. children value healthy food, physical activity, mental
health, prevention of inappropriate substance consumption and
health and environment. The drawings and comments show
links between diet and physical exercise, and between mental
health and interpersonal relationships. Conclusion. Drawings
and comments facilitate health professionals understanding
of childrenās perception of health positive and negative factors.
The results of the study allow planning intervention strategies in
school health from infant perception
Multi-modal Image Processing based on Coupled Dictionary Learning
In real-world scenarios, many data processing problems often involve
heterogeneous images associated with different imaging modalities. Since these
multimodal images originate from the same phenomenon, it is realistic to assume
that they share common attributes or characteristics. In this paper, we propose
a multi-modal image processing framework based on coupled dictionary learning
to capture similarities and disparities between different image modalities. In
particular, our framework can capture favorable structure similarities across
different image modalities such as edges, corners, and other elementary
primitives in a learned sparse transform domain, instead of the original pixel
domain, that can be used to improve a number of image processing tasks such as
denoising, inpainting, or super-resolution. Practical experiments demonstrate
that incorporating multimodal information using our framework brings notable
benefits.Comment: SPAWC 2018, 19th IEEE International Workshop On Signal Processing
Advances In Wireless Communication
Sensitivity Analysis for a Scenario-Based Reliability Prediction Model
As a popular means for capturing behavioural requirements, scenariosshow how components interact to provide system-level functionality.If component reliability information is available, scenarioscan be used to perform early system reliability assessment. Inprevious work we presented an automated approach for predictingsoftware system reliability that extends a scenario specificationto model (1) the probability of component failure, and (2) scenariotransition probabilities. Probabilistic behaviour models ofthe system are then synthesized from the extended scenario specification.From the system behaviour model, reliability predictioncan be computed. This paper complements our previous work andpresents a sensitivity analysis that supports reasoning about howcomponent reliability and usage profiles impact on the overall systemreliability. For this purpose, we present how the system reliabilityvaries as a function of the components reliabilities and thescenario transition probabilities. Taking into account the concurrentnature of component-based software systems, we also analysethe effect of implied scenarios prevention into the sensitivity analysisof our reliability prediction technique
A model driven approach for software systems reliability
The reliability assurance of software systems from design to deployment level through transformation techniques and model driven approach, is described. Once the reliability mechanisms provided by current component-based development architectures (CBDA) are designed in a platform-independent way, platform-based design and implementation models must be extended. Current CBDAs, such as Enterprise Java Beans, address a considerable range of features to support system reliability. The evaluation aims to test maturity of the approach, its applicability, and the effectiveness of reliability models. The techniques such as process algebras are generally considered time consuming, in regard to software development
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