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2014Hanen Lejmi, , Lamjed Ben Said
Agent decision-making under uncertainty: Towards a new e-bdi agent architecture based on immediate and expected emotions
International Journal of Computer Theory and Engineering, 6(3), 254., 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.
, , Lamjed Ben SaidA New Fuzzy-Based Approach for Anonymity Quantification in E-Services
E-Services. International Journal of Information Security and Privacy (IJISP), 8(3), 13-38., 2014
Abstract
In online services, making anonymous transactions is a crucial need in order to ensure the user’s trust towards a particular service. In this context, anonymity quantification is required to provide at which level the e-service respects the user privacy regarding the link between his/her identity and actions. Most of the existing researches are limited to the anonymity quantification in a static way and based, mainly, on the user’s set size. In this paper, the authors propose a new multi-agent based approach for anonymity quantification in e-services considering dynamic and mobile environment’s characteristics. The authors’ quantification is based on the fuzzy logic. It is based not only on the anonymity set size, which is always known in advance, but also on a set of other criteria such as the number of users and the priori and posteriori knowledge about internal and external attackers of an e-service. The carried out experimentations show competitive and better results when compared to other recently proposed anonymity quantification.
Ines Thabet, , Lamjed Ben SaidA Multi-agent Organizational Model for a Snow Storm Crisis Management
ISCRAM-med 2014: 143-156, 2014
Abstract
This paper introduces an organizational multi-agent model for crisis management. The considered crisis is a heavy snow storm, occurred at a north Tunisian delegation. The studied crisis caused severe infrastructure damages and endangered people’s lives. Crisis systems are generally made of several heterogeneous and autonomousorganizations. Each organization is given tasks and their tasks are strongly correlated. Organizations have to interact frequently and cooperate at a high level to deal with the crisis. In this context, thinking the crisis management at a macro level with an organizational view as well as structuring organizations’ communications and their functioning is a crucial requirement. Following this view, the main purpose of our work is to propose a multi-agent system organization that manages resources efficiently, structure the communication among all the actors involved in the crisis management and orchestrate their work. More precisely, we provide an environment model that identifies all concepts and entities involved in the snow storm crisis. We specify, using GAIA methodology, a multi-agent organizational model that defines the roles involved in the system and the interaction protocols to realize organizational objectives. Finally, a simulator has been implemented to demonstrate the feasibility of our approach.
Abir Chaabani, Slim Bechikh, Lamjed Ben SaidAn indicator based chemical reaction optimization algorithm for multi-objective search.
Genetic and Evolutionary Computation Conference, (GECCO’14), Canada, 85-86, 2014
Abstract
In this paper, we propose an Indicator-based Chemical Reaction Optimization (ICRO) algorithm for multiobjective optimization. There are two main motivations behind this work. On the one hand, CRO is a new recently proposed metaheuristic which demonstrated very good performance in solving several mono-objective problems. On the other hand, the idea of performing selection in Multi-Objective Evolutionary Algorithms (MOEAs) based on the optimization of a quality metric has shown a big promise in tackling Multi-Objective Problems (MOPs). The statistical analysis of the obtained results shows that ICRO provides competitive and better results than several other MOEAs.
Thouraya 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.
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