34,123 research outputs found
Reasoning with Contextual Knowledge and Influence Diagrams
Influence diagrams (IDs) are well-known formalisms extending Bayesian
networks to model decision situations under uncertainty. Although they are
convenient as a decision theoretic tool, their knowledge representation ability
is limited in capturing other crucial notions such as logical consistency. We
complement IDs with the light-weight description logic (DL) EL to overcome such
limitations. We consider a setup where DL axioms hold in some contexts, yet the
actual context is uncertain. The framework benefits from the convenience of
using DL as a domain knowledge representation language and the modelling
strength of IDs to deal with decisions over contexts in the presence of
contextual uncertainty. We define related reasoning problems and study their
computational complexity
Sticks, balls or a ribbon? Results of a formative user study with bioinformaticians
User interfaces in modern bioinformatics tools are designed for experts. They are too complicated for\ud
novice users such as bench biologists. This report presents the full results of a formative user study as part of a\ud
domain and requirements analysis to enhance user interfaces and collaborative environments for\ud
multidisciplinary teamwork. Contextual field observations, questionnaires and interviews with bioinformatics\ud
researchers of different levels of expertise and various backgrounds were performed in order to gain insight into\ud
their needs and working practices. The analysed results are presented as a user profile description and user\ud
requirements for designing user interfaces that support the collaboration of multidisciplinary research teams in\ud
scientific collaborative environments. Although the number of participants limits the generalisability of the\ud
findings, the combination of recurrent observations with other user analysis techniques in real-life settings\ud
makes the contribution of this user study novel
Modelling Requirements for Content Recommendation Systems
This paper addresses the modelling of requirements for a content
Recommendation System (RS) for Online Social Networks (OSNs). On OSNs, a user
switches roles constantly between content generator and content receiver. The
goals and softgoals are different when the user is generating a post, as
opposed as replying to a post. In other words, the user is generating instances
of different entities, depending on the role she has: a generator generates
instances of a "post", while the receiver generates instances of a "reply".
Therefore, we believe that when addressing Requirements Engineering (RE) for
RS, it is necessary to distinguish these roles clearly.
We aim to model an essential dynamic on OSN, namely that when a user creates
(posts) content, other users can ignore that content, or themselves start
generating new content in reply, or react to the initial posting. This dynamic
is key to designing OSNs, because it influences how active users are, and how
attractive the OSN is for existing, and to new users. We apply a well-known
Goal Oriented RE (GORE) technique, namely i-star, and show that this language
fails to capture this dynamic, and thus cannot be used alone to model the
problem domain. Hence, in order to represent this dynamic, its relationships to
other OSNs' requirements, and to capture all relevant information, we suggest
using another modelling language, namely Petri Nets, on top of i-star for the
modelling of the problem domain. We use Petri Nets because it is a tool that is
used to simulate the dynamic and concurrent activities of a system and can be
used by both practitioners and theoreticians.Comment: 28 pages, 7 figure
Recommended from our members
AmbieSense: a system and reference architecture for personalised and context-sensitive information services for mobile users
The purpose of AmbieSense is to provide personalised, context-sensitive information to the mobile user. It is about augmenting digital information to physical objects, rooms, and areas. The aim is to provide relevant information to the right user and situation. Digital content is distributed from the surroundings and onto your mobile phone. An ambient information environment is provided by a combination of context tag technology, a software platform to manage and deliver the information, and personal computing devices to which the information is served. This paper describes how the AmbieSense reference architecture has been defined and used in order to deliver information to the mobile citizen at the right time, place and situation. Information is provided via specialist content providers. The application area addresses the information needs of travellers and tourists
Human Error and Organizational Management
The concern for performance is a topic that raises interest in the business environment but also in other areas that – even if they seem distant from this world – are aware of, interested in or conditioned by the economy development. As individual performance is very much influenced by the human resource, we chose to analyze in this paper the mechanisms that generate – consciously or not –human error nowadays.Moreover, the extremely tense Romanian context, where failure is rather a rule than an exception, made us investigate the phenomenon of generating a human error and the ways to diminish its effects.human error, performance, management, information processing, organizational culture
Improving Student’s Emotional Intelligence By Mathematics Learning
This paper aims to provide a description of realistic mathematics education in improving emotional intelligence. Mathematics is a tool that can be developed to foster thinking (reasoning) and attitudes (emotions) (Nelissen, 2007). Emotional intelligence is the ability to feel, understand and effectively apply the power and emotional sensitivity as an energy source and as a motivator. The models that emerged from students' mathematical activity can promote interaction in class, thus leading to the level of mathematical thinking and higher learning meaningful democracy. Thus, learning mathematics is a realistic learning actively involves students both physically and mentally (student centered learning), and be democratic, so as to have a better profile in the critical thinking skills and emotional intelligence of students.
Keywords: emotional intelligence, learning, mathematics, constructive, interactive, reflective, realisti
- …