Deriving implementation-level policies for usage control enforcement

2012 ◽  
Author(s):  
Prachi Kumari ◽  
Alexander Pretschner
Keyword(s):  
Usage Control ◽  
Implementation Level

An Electronic Study Form to Support Collaborating Agents in the Management of Clinical Knowledge

1999 ◽  
Vol 38 (03) ◽  
pp. 154-157
Author(s):  
W. Fierz ◽  
R. Grütter
Keyword(s):  
Procedural Knowledge ◽  
Health Care Provision ◽  
Markup Language ◽  
Artificial Agents ◽  
Care Provision ◽  
Clinical Knowledge ◽  
Extensible Markup ◽  
Implementation Level ◽  
Biological Organisms ◽  
Representation Of Knowledge

AbstractWhen dealing with biological organisms, one has to take into account some peculiarities which significantly affect the representation of knowledge about them. These are complemented by the limitations in the representation of propositional knowledge, i. e. the majority of clinical knowledge, by artificial agents. Thus, the opportunities to automate the management of clinical knowledge are widely restricted to closed contexts and to procedural knowledge. Therefore, in dynamic and complex real-world settings such as health care provision to HIV-infected patients human and artificial agents must collaborate in order to optimize the time/quality antinomy of services provided. If applied to the implementation level, the overall requirement ensues that the language used to model clinical contexts should be both human- and machine-interpretable. The eXtensible Markup Language (XML), which is used to develop an electronic study form, is evaluated against this requirement, and its contribution to collaboration of human and artificial agents in the management of clinical knowledge is analyzed.

Cognitive architectures have limited explanatory power

2003 ◽  
Vol 26 (5) ◽  
pp. 622-623 ◽  
Author(s):  
Prasad Tadepalli
Keyword(s):  
Programming Languages ◽  
Explanatory Power ◽  
Cognitive Architectures ◽  
Language Understanding ◽  
Implementation Level

Cognitive architectures, like programming languages, make commitments only at the implementation level and have limited explanatory power. Their universality implies that it is hard, if not impossible, to justify them in detail from finite quantities of data. It is more fruitful to focus on particular tasks such as language understanding and propose testable theories at the computational and algorithmic levels.

Disaster Risk Reduction Management in Carcar Central Elementary School Cebu City

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Juvelyn Bacus ◽  
Keyword(s):  
Elementary School ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Knowledge Level ◽  
Culture Of Safety ◽  
Implementation Level

action framework, a culture of safety, implementation level, knowledge level

scholarly journals EAST-ADL

2016 ◽  
Vol 5 (3) ◽  
pp. 1-20 ◽  
Author(s):  
Hans Blom ◽  
De-Jiu Chen ◽  
Henrik Kaijser ◽  
Henrik Lönn ◽  
Yiannis Papadopoulos ◽  
...  
Keyword(s):  
Research Work ◽  
Electronic Systems ◽  
Architecture Description Language ◽  
Iso 26262 ◽  
Automotive Electronic ◽  
Engineering Information ◽  
Architecture Description ◽  
Implementation Level ◽  
Many Core ◽  
Abstraction Levels

EAST-ADL is an Architecture Description Language (ADL) initially defined in several European-funded research projects and aligned with AUTOSAR and ISO26262. It provides a comprehensive approach for defining automotive electronic systems through an information model that captures engineering information in a standardized form. Aspects covered include vehicle features, requirements, analysis functions, software and hardware components and communication. The representation of the system's implementation is not defined in EAST-ADL itself but by AUTOSAR. However, traceability is supported from EAST-ADL's lower abstraction levels to the implementation level elements in AUTOSAR. In this article the authors describe EAST-ADL in detail, show how it relates to AUTOSAR as well as other significant automotive standards and present recent research work on using and advancing EAST-ADL, the functional safety standard ISO 26262, heterogeneous multi / many core architectures, security and for multi-objective optimization.

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