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The platform we're proposing will be the main actor of the upcoming paradigm shift from representative governance to self governance, the architecture, functionality and interface of the platform was modelled after the human anatomy. Human decision making efficiency is dependent upon the governance system of the deciding agents and the roles they play. Aligning the context in which a decision impacting...
Decision support systems increasingly support experts' work, but errors caused by them may have severe consequences, especially in the medical domain. To better understand how these inaccuracies affect experts' behavior and decisions, a quality of context model was constructed. Based on the model a controlled online experiment was conducted in which physicians had to treat hypothetical cases while...
Episodic memory which can store and recall episodes has been modeled by various research. Those models focus on encoding and retrieving the same sequence of events of episodes. In this paper, we propose context preference-based deep adaptive resonance theory (CPD-ART). CPD-ART uses a new approach in encoding and retrieving a temporal sequence of events considering subjects, preference criteria such...
The perception of risk is a driver for security analysts' decision making. However, security analysts may have conflicting views of a risk based on personal, system and environmental factors. This difference in perception and opinion, may impact effective decision making. In this paper, we propose a model that highlights areas contributing to the perception of risk in a socio-technical environment...
This paper presents the findings of a PhD research that aims to evaluate the processes of electronic participation (e-Participation) and electronic democracy (e-Democracy) introduction in Switzerland. The choice of the Swiss case study can be explained by a seeming paradox between, on the one hand, highly developed system of direct democracy, which determines the character of the Swiss policy-making...
Among other knowledge, software architecture de-sign decision-making relies on the relation between architecturalpatterns and quality attributes (QAs). However, this relation isoften implicit, or in the best case informally and partially defined. This leads to sub-optimal understanding of the impact of thearchitecture design on the desired level of quality. In this work, we aim to shed light on the...
Decision making and planning of large scale infrastructures within cities is often a long process encompassing years, between multiple institutions represented by experts that require negotiations and consensus of demands and goals. The role big data plays in such design could be crucial, by providing access to otherwise elusive information on movements of people and goods in a city which can then...
Human resource information systems (HRIS) are adopted and used in various organizations all over the world. Following on this trend, universities including those in South Africa have also adopted and are using such systems for their human resource (HR) purposes. However there is still a lack of understanding on how organizations such as universities adopt and use HRIS. This paper provides a conceptual...
Situational awareness in the context of cyber security has been well recognized. In a time cyber-attacks getting increasingly sophisticated and making potentially disruptive impacts, it becomes apparent that a holistic approach is fundamentally needed to handling security data effectively. Cyber Security Situational Awareness (CSSA) emerges timely. In this paper, after revisiting the concept of CSSA,...
Big Data technology is a generic technology, which can be applied to any real-world problem that involves a lot of data. Moreover, the use of cloud-based infrastructure to implement the big data technology makes it a cost-effective solution to the big data problem. One of the fundamental sectors that can benefit from this technology is education and research. The education system can use big data...
Decision makers tend to define their optimization problems as multi-objective optimization problems. Generating the whole nondominated set is often unrealistic due to its size but also because most of these points are irrelevant to the decision maker. Another approach consists in obtaining preference information and integrating it a priori, in order to reduce the size of the nondominated set and have...
This paper describes a decision support system (DSS) design for small business owners/managers to support their strategic decision-making in particular for achieving competitive advantages in the e-commerce environment. To design the DSS framework we collected data through web-based questionnaires that cater for the concerns of owners'/managers' experiences and strategic decisions need — in such environment...
Adapting systems to the changes of their ubiquitous environments is a complex task. The autonomic computing was proposed as a solution to tackle this complexity. It brings a system with self-management capabilities to dynamically adapt itself to context. We are interested in the architectural adaptation approaches of autonomic applications which follow the MAPE-K loop process. During the execution...
Selecting the most adapted alternative for a new project is a challenging problem because it contains a lot of uncertainty due to lack of information. Moreover, better decision making processes still need to be proposed to help decision makers to select the most effective solution among several alternatives. Although different methods and tools have been developed for this purpose, there is still...
The use of Information and Communication Technology (ICT) has touched various aspects in the domain of transport engineering and logistics (TEL). As the development of TEL tends to be more complex in operation and large in scale, recent practices start to pay more attentions on improving system robustness and reliability. In addition, current ICT innovations (such as WSN and IOT) could record and...
The relevance of decision making in autonomous systems is intrinsically related to the system capacity to discriminate its perception-action states. This is particularly challenging in unknown and changing complex environments, where providing a complete a priori representation to the system is not possible. To illustrate the problem, let us consider a decentralized control of road traffic, where...
With the prevalence of privacy incidents and recurrent leaks, privacy protection has become a concern of users and data protection entities. Previous research in privacy risk prevention has mostly followed the "collect and prevent" philosophy, e.g., by applying anonymization techniques to the user data on the back-end. These approaches neglect the users' right to informational self-determination...
The decision-making process in the educational context has been widely investigated as an effective mechanism to support educators and administrators in distance and blended learning. Pattern discovery in data produced by Learning Management Systems (LMS) elicits important information about the educational process, especially when considering correlations between stakeholders interacting in different...
Faculty members' decisions to alter teaching practices is often driven and restricted by both institutional and personal factors [1]. When examining these factors, faculty make judgments as a mechanism to evaluate the cost-benefit of enacting such a change. Behavioral economics concepts, such as satisficing, meliorating, path dependence, and bounded rationality [2], provide a lens to examine if and...
In a heterogeneous dynamic environment, such as disasters, the continuous adaptation is a perfect solution to offer the adequate services to clients. This Concept is a key to process varying requirement of different users. This is why; we must model the user's context information and structure the services according to the user profile. In this paper, we propose a representation formats of user context...
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