Conjunctive Query Based Constraint Solving For Feature Model Configuration

Feature model configuration can be supported on the basis of various types of reasoning approaches. Examples thereof are SAT solving, constraint solving, and answer set programming (ASP). Using these approaches requires technical expertise of how to define and solve the underlying configuration problem. In this paper, we show how to apply conjunctive queries typically supported by today's relational database systems to solve constraint satisfaction problems (CSP) and -- more specifically -- feature model configuration tasks. This approach allows the application of a wide-spread database technology to solve configuration tasks and also allows for new algorithmic approaches when it comes to the identification and resolution of inconsistencies.Comment: to be presented at The 12th Conference on Information Technology and Its Application, CITA 2023, July 28-29, 2023, Da Nang, Vietnam, and to be published in the volume of the Lecture Notes in Network and Systems series (Springer

Cognitive Approach to Hierarchical Task Selection for Human-Robot Interaction in Dynamic Environments

In an efficient and flexible human-robot collaborative work environment, a robot team member must be able to recognize both explicit requests and implied actions from human users. Identifying "what to do" in such cases requires an agent to have the ability to construct associations between objects, their actions, and the effect of actions on the environment. In this regard, semantic memory is being introduced to understand the explicit cues and their relationships with available objects and required skills to make "tea" and "sandwich". We have extended our previous hierarchical robot control architecture to add the capability to execute the most appropriate task based on both feedback from the user and the environmental context. To validate this system, two types of skills were implemented in the hierarchical task tree: 1) Tea making skills and 2) Sandwich making skills. During the conversation between the robot and the human, the robot was able to determine the hidden context using ontology and began to act accordingly. For instance, if the person says "I am thirsty" or "It is cold outside" the robot will start to perform the tea-making skill. In contrast, if the person says, "I am hungry" or "I need something to eat", the robot will make the sandwich. A humanoid robot Baxter was used for this experiment. We tested three scenarios with objects at different positions on the table for each skill. We observed that in all cases, the robot used only objects that were relevant to the skill.Comment: To Appear In International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, Oct 202

Socio-Economic Discrimination and Processes of Securitisation as Catalysts of Radicalisation among Franco-Maghrebis

In recent years, Western Europe has been gripped by a wave of terrorist attacks, perpetrators have been exclusively home-grown radicalised jihadists of European birth and nationality; a large proportion of which were of second or third generation North African (Maghrebi) origin. This emerging trend is placed into a wider continuation of historical susceptibilities among Maghrebis and their link to ethno-political and religious radicalisation and in some cases, transnational terrorism and Jihadism. This study examines how disproportionate socio-economic discrimination coupled with securitised media portrayals and domestic political debates have acted as radicalisation catalysts of this diaspora present in abundance across France and other EU member-states. This body of research also considers the impact and relevance of emerging geo-political influences such as a resurgent French far-right and a shift in modern jihadist narratives. This shift from direct to structural violence has enabled a renewed ideological penetration and tangible resonance among Europe’s Muslims of immigrant origin; many of whom reside within impoverished and disadvantaged urban peripheries. Susceptibility to radical narratives arising from the converging dilemmas of deprivation, discrimination and grievance have formed the basis for one of the most pressing threats to international security and social wellbeing for generations

Islamic Corporate Social Responsibility (I-CSR): Ditinjau dari Aspek Corporate Governance, Profitabilitas, Likuiditas Perusahaan dan Media Exposure Serta Dampaknya Terhadap Nilai Perusahaan pada Jakarta Islamic Index 70

Hasil penelitian ini menunjukkan bahwa secara langsung corporate governance yang diproksi dengan kepemilikan saham publik tidak signifikan berpengaruh terhadap Islamic Corporate Social Responsibility (I-CSR) dan nilai perusahaan yang diproksi dengan Tobin Q. Demikian pula hubungan corporate governance secara tidak langsung juga tidak signifikan berpengaruh terhadap nilai perusahaan melalui I-CSR. Dalam penelitian ini juga ditemukan bahwa profitabilitas perusahaan yang diproksi dengan rasio Return on Assets (ROA) secara langsung berpengaruh signifikan terhadap I-CSR namun tidak signifikan berpengaruh pada nilai perusahaan. Akan tetapi hubungan profitabilitas secara tidak langsung berpengaruh signifikan terhadap nilai perusahaan melalui I-CSR. Dalam penelitian ini juga ditemukan bahwa likuiditas perusahaan yang diproksi dengan current ratio secara langsung tidak signifikan berpengaruh terhadap ICSR namun berpengaruh signifikan terhadap nilai perusahaan. Akan tetapi hubungan likuiditas secara tidak langsung tidak signifikan berpengaruh terhadap nilai perusahaan melalui I-CSR. Hasil penelitian ini juga menemukan bahwa media exposure secara langsung berpengaruh signifikan terhadap I-CSR namun tidak signifikan berpengaruh terhadap nilai perusahaan. Akan tetapi hubungan media exposure secara tidak langsung berpengaruh signifikan terhadap nilai perusahaan melalui I-CSR. Selanjutnya dalam penelitian ini ditemukan hubungan pengaruh positif signifikan antara I-CSR terhadap nilai perusahaan secara langsung. Penelitian ini berimplikasi pada pembuktian implementasi Shariah Enterprise Theory di Indonesia yang mengakui adanya pertanggungjawaban tidak hanya kepada pemilik perusahaan saja melainkan kepada stakeholder yang lebih luas yaitu; Allah, manusia, dan alam. Penerapan teori ini dapat menaikkan nilai perusahaan karena tingkat kepercayaan yang cukup tinggi dari masyarakat terhadap perusahaan

Peeling an onion: the ‘refugee crisis’ from a historical perspective

Cities, Migration and Global Interdependenc

Integrating Socially Assistive Robots into Language Tutoring Systems. A Computational Model for Scaffolding Young Children's Foreign Language Learning

Schodde T. Integrating Socially Assistive Robots into Language Tutoring Systems. A Computational Model for Scaffolding Young Children's Foreign Language Learning. Bielefeld: Universität Bielefeld; 2019.Language education is a global and important issue nowadays, especially for young children since their later educational success build on it. But learning a language is a complex task that is known to work best in a social interaction and, thus, personalized sessions tailored to the individual knowledge and needs of each child are needed to allow for teachers to optimally support them. However, this is often costly regarding time and personnel resources, which is one reasons why research of the past decades investigated the benefits of Intelligent Tutoring Systems (ITSs). But although ITSs can help out to provide individualized one-on-one tutoring interactions, they often lack of social support. This dissertation provides new insights on how a Socially Assistive Robot (SAR) can be employed as a part of an ITS, building a so-called "Socially Assistive Robot Tutoring System" (SARTS), to provide social support as well as to personalize and scaffold foreign language learning for young children in the age of 4-6 years. As basis for the SARTS a novel approach called A-BKT is presented, which allows to autonomously adapt the tutoring interaction to the children's individual knowledge and needs. The corresponding evaluation studies show that the A-BKT model can significantly increase student's learning gains and maintain a higher engagement during the tutoring interaction. This is partly due to the models ability to simulate the influences of potential actions on all dimensions of the learning interaction, i.e., the children's learning progress (cognitive learning), affective state, engagement (affective learning) and believed knowledge acquisition (perceived learning). This is particularly important since all dimensions are strongly interconnected and influence each other, for example, a low engagement can cause bad learning results although the learner is already quite proficient. However, this also yields the necessity to not only focus on the learner's cognitive learning but to equally support all dimensions with appropriate scaffolding actions. Therefore an extensive literature review, observational video recordings and expert interviews were conducted to find appropriate actions applicable for a SARTS to support each learning dimension. The subsequent evaluation study confirms that the developed scaffolding techniques are able to support young children’s learning process either by re-engaging them or by providing transparency to support their perception of the learning process and to reduce uncertainty. Finally, based on educated guesses derived from the previous studies, all identified strategies are integrated into the A-BKT model. The resulting model called ProTM is evaluated by simulating different learner types, which highlight its ability to autonomously adapt the tutoring interactions based on the learner's answers and provided dis-engagement cues. Summarized, this dissertation yields new insights into the field of SARTS to provide personalized foreign language learning interactions for young children, while also rising new important questions to be studied in the future