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2014Thouraya Sakouhi, , , ,
Inference on Semantic Trajectory Data Warehouse Using an Ontological Approach
In: Andreasen, T., Christiansen, H., Cubero, JC., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2014. Lecture Notes in Computer Science(), vol 8502. Springer, Cham. https://doi.org/10.1007/978-3-319-08326-1_47, 2014
Abstract
Using location aware devices is getting more and more spread, generating then a huge quantity of mobility data. The latter describes the movement of mobile objects and is called as well Trajectory data. In fact, these raw trajectories lack contextual information about the moving object goals and his activity during the travel. Therefore, the former must be enhanced with semantic information to be called then Semantic Trajectory. The semantic models proposed in the literature are in many cases ontology-based, and are composed of thematic, temporal and spatial ontologies and rules to support inference and reasoning tasks on data. Thus, calculating inference on moving objects trajectories considering all thematic, spatial, and temporal rules can be very long depending on the amount of data involved in this process. On the other side, TDW is an efficient tool for analyzing and extracting valuable information from raw mobility data. For that we propose throughout this work a TDW design, inspired from an ontology model. We will emphasis the trajectory to be seen as a first class semantic concept. Then we apply the inference on the proposed model to see if we can enhance it and make the complexity of this mechanism manageable.
Mouna Belhaj, , Lamjed Ben SaidA computational model of emotions for the simulation of human emotional dynamics in emergency situations
International Journal of Computer Theory and Engineering, 6(3), 227., 2014
Abstract
Emotions have a considerable effect on human
behaviors and cognitive processes, especially during crisis
situations. Emotion modeling is therefore a key solution to
generate realistic social simulations in crisis situations. In this
context, we intend to model human emotional dynamics and to
study their effect on individual and collective behaviors during
emergency situations. In this paper, we focus on the first part of
this research work which consists in the modeling of emotion
generation in emergency situations. Thus, we provide first a
modeling of the disaster space in a rescue simulation context.
Then, we propose a computational model of the generated
human emotions, basing on the emergency environment. This
model uses the appraisal theories of emotions.Mouna Belhaj, , Lamjed Ben SaidAn emotional agent model for the simulation of realistic civilian behaviors during emergency situations
IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, 2014, pp. 262-269, doi: 10.1109/WI-IAT.2014.176., 2014
Abstract
Analyzing human behaviors during emergency situations contributes to build efficient emergency management plans. Indeed, research shows that emotions have a major influence on human behavior particularly to respond to highly emotive events such as those happening in emergency situations. Therefore, it is recognized that they are necessary to produce human-like behaviors in artificial agents. In this paper, we present an emotional agent model of human civilians in an emergency context. The aim is to model and to simulate the emotion generation process and the impact of the elicited emotions on civilian behaviors in an emergency situation during a disaster.
Mouna Belhaj, , Lamjed Ben SaidAgent-based modeling and simulation of the emotional and behavioral dynamics of human civilians during emergency situations
In: Müller, J.P., Weyrich, M., Bazzan, A.L.C. (eds) Multiagent System Technologies. MATES 2014. Lecture Notes in Computer Science(), vol 8732. Springer, Cham. https://doi.org/10.1007/978-3-319-11584-9_18, 2014
Abstract
Agent based social simulations are becoming prevailing tools in the context of human behavior studies. Researchers in psychology, cognitive science and neuroscience have proved the prominent role of emotion on cognition and behavior. Particularly, during emergency situations, human emotional dynamics have a major effect on behavior. In this context, we aim to study the role of emotions in reproducing human-like emotional civilian agents. The objective of the current research work is to model and to simulate human emotional dynamics and their effect on the behaviors of civilians in emergencies. In this article, we describe an emotional agent model that integrates a computational model of emotions. Agent perceptions are subject to a cognitive appraisal process to generate agent emotions. These have an effect on the generation of agent behavior.
Mouna Belhaj, , Lamjed Ben SaidEmotional Agent Model for Simulating and Studying the Impact of Emotions on the Behaviors of Civilians during Emergency Situations
In International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (pp. 206-217). Cham: Springer International Publishing., 2014
Abstract
Emotion is one of the major factors that can affect the human behavior, especially in emergency situations. To consolidate this idea, we need to model and to simulate human emotional dynamics and their effects on the behaviors of human civilians in emergencies. This may help consequently emergency managers to better react and make decisions. This paper addresses this challenge by presenting a new emotional agent model. The final goal of this work is to build an emotional agent based simulator of civilians during an emergency situation. The paper describes first the proposed agent model, based on an appraisal theory of emotions. It provides then an implementation and experimentations performed using the RoboCupRescue project.
, ,A multi-agent proactive routing protocol for Vehicular Ad-Hoc Networks
Proc.of The 2014 International Symposium on Networks, Computers and Communications (IEEE ISNCC 2014), 2014
Abstract
Vehicular ad hoc network is one of the most promising applications of MANET. However, they have special properties such as high mobility, network portioning and constrained topology which require smaller latency and higher reliability. These vehicles that move along the same road are able to communicate either directly to the destination or by using the intermediate node, such as router. Therefore, designing an efficient routing protocol for all VANETs scenarios is very hard. A lot of researches about routing in VANETs are considering DSDV routing protocol as the most suitable protocol for mobility environment. But DSDV generates a large volume of control packets and takes up a large part of available bandwidth. In this paper, we propose an improving DSDV routing protocol based on multi-agent system approach to solve the performance problems mentioned above. Experimental results show promising results regarding the adoption of the proposed approach.
118Hanen Lejmi, Lamjed Ben Said,Agent Decision-Making under Uncertainty: Towards a New E-BDI Agent Architecture Based on Immediate and Expected Emotions
Agent Decision-Making under Uncertainty: Towards a New E-BDI Agent Architecture Based on Immediate and Expected Emotions, 2014
Abstract
Over the last decade, emotions have received considerable attention among scholars in agent oriented systems. In fact a large amount of computational models of emotions has been developed and a new generation of artificial agents has emerged to give rise to emotional agents, in particular the Emotional BDI (EBDI) agents. However, in spite of the several interesting studies that have been conducted to underline the role of emotions in decision-making, few works in the agent community have shed the light on the influences of both immediate and expected emotions to drive decision-making. In this context, we intend to propose a new conceptual model of EBDI agency that involves the interplay among immediate emotions, expected emotions and rational decisions of artificial agents.
Kalthoum Rezgui, Hédia Sellemi,An Ontology-based Profile for Learner Representation in Learning Networks
-, 2014
Abstract
In the context of lifelong learning, learning networks are emerged as alternative and feasible integrated models that merge pedagogical, organizational, and technological perspectives to support and promote the provision of lifelong learning opportunities. Among the significant issues that arise when setting up a learning network is the question of how to support communication between repositories that employ different schemes for describing learner profiles. To guarantee correct interpretation, a semantic common metadata schema is required. This paper aims to propose an ontological structure for representing a learner profile that augments it with semantics and provides a common vocabulary for the exchange of the different learner’s characteristics that can be presented in a learner model. The proposed structure is based on different learner information with respect to well-known learner model specifications. Besides, it reuses terms from well-developed Semantic Web vocabularies which make it semantic web compliant and integrates different domain taxonomies and subject taxonomies that are used as ranges for particular concepts’ slots.
Kalthoum Rezgui, Hédia Sellemi,Extending Moodle Functionalities with Ontology-based Competency Management
-, 2014
Abstract
The Learning Management System (LMS) Moodle is currently the most popular software solution which provides many modules for various teaching and learning purposes. However, several aspects relevant for competency management are typically missing in Moodle. This paper proposes an ontology-based competency management application which is developed as a Moodle extension for supporting the development and assessment of competencies inside a course. Details about the competency ontology adopted for designing the competency-based course structure as well as the competency management features embedded into Moodle are presented. By incorporating these features into a LMS, it becomes possible to manage target competencies together with their associated evidence items and assess proficiency levels reached by students for each target competency. In addition, it becomes possible to generate different types of competency reports depending on the target role (teachers, students or administrators).
Kalthoum Rezgui, Hédia Sellemi,An Ontology-Based Approach to Competency Modeling and Management in Learning Networks
-, 2014
Abstract
With the emergence of the paradigm of Lifelong Learning and the proliferation of the terms « knowledge society », « citizen mobility », or « globalization », competency-based learning and training has known a growing interest in technology-enhanced learning as it provides important benefits for both individuals and organizations by supporting the transformation of learning outcomes into permanent and valuable knowledge assets. In this context, to promote the acquisition and continuous development of new competencies, learning networks have emerged that enables to support the provision of various lifelong learning opportunities. However, lifelong competency development still faces numerous challenges and research issues that need to be addressed, primarily the lack of consensus about a common representation of competencies and competency profiles. This paper analyzes different approaches reported in literature for competency modeling and proposes a competency ontology to formally describe competency-related characteristics of actors and learning resources in learning networks. The proposed ontology also aims to model aspects related to competency information management and tracking in order to support lifelong competency development in learning networks.
