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2015Mouna Belhaj, , Lamjed Ben Said
[PDF] à partir de researchgate.net Modelling and simulation of human behavioural and emotional dynamics during emergencies: A review of the state-of-the-art
International Journal of Emergency Management, 11(2), 129-145., 2015
Abstract
Research works on human behaviour modelling and simulation
continue to increase in recent years. Indeed, emotion and personality are amongthe most important human characteristics that influence behaviour. Particularly, during emergencies, emotional dynamics have a major influence on individual
and collective behaviours. In this paper, we aim to provide an integrated review on this challenging and multidisciplinary field. We give first an overview of computational models of emotions and personalities. Then, we expose and discuss emotional and behavioural models. An emphasis is given to the role of
internal and external emotional dynamics in the production of realistic behaviours during emergencies. Internal emotional dynamics affect cognitive processes at an individual level. However, external emotional dynamics, studied through phenomena such as empathy or emotional contagion, are
essential to simulate collective emotional dynamics.Hanen Lejmi, Lamjed Ben Said,Agent-based modeling and simulation of the emotional experiences of employees within organizations
Agent-based modeling and simulation of the emotional experiences of employees within organizations, 2015
Abstract
Agent-Based Modeling and Simulation (ABMS) have been used to study a wide range of complex systems and several emergent behaviors across a variety of disciplines. However, very limited works have adopted these paradigms to provide insights to organizational psychology in general and to researches dealing with emotions at work in particular. The current research uses ABMS to study the emotions experienced in the organizational context; it focuses specifically on their impact on the quality of decisions made as a key factor of organizations success. In this paper, the emphasis is set on the emotion generation process. The proposed work introduces an agent-based model of the emotional experiences of employees within organizations. It adopts a cross-disciplinary approach and it brings another theoretical perspective to agent-based modeling of emotions at work. In fact, this model is based on the OCC appraisal theory to generate artificial emotions, but it also takes advantage of theoretical foundations from organization behavior and organization psychology. Simulation results can bring new insights to organizational researches. Moreover, the simulated system can serve as a human resources development tool used by employees at work to enhance their emotional awareness.
Hanen Lejmi, Lamjed Ben Said,Computational Models of Immediate and Expected Emotions for Emotional BDI Agents
Computational Models of Immediate and Expected Emotions for Emotional BDI Agents, 2015
Abstract
In line with the multi-disciplinary growing interest in emotions and the scientific proof of their usefulness for taking decisions, scholars, in agent-oriented systems, start to account for emotions when building upon intelligence and realism in rational agents. As a result, several computational models of emotions were developed and new architectures for emotional artificial agents were proposed, in particular the Emotional Belief Desire Intention (EBDI) agents. In this paper, we provide a comprehensive description of two computational models which are used to generate immediate and expected emotions. These models will be incorporated within an EBDI agent architecture that takes into consideration these two types of emotions.
Saoussen Bel Haj Kacem, ,Extended symbolic approximate reasoning based on linguistic modifiers
Knowledge and Information Systems, 42(3), 633-661, 2015., 2015
Abstract
Approximate reasoning allows inferring with imperfect knowledge. It is based on a generalization of modus ponens (MP) known as generalized modus ponens (GMP). We are interested in approximate reasoning within symbolic multi-valued logic framework. In a previous work, we have proposed a new GMP based on linguistic modifiers in the multi-valued logic framework. The use of linguistic modifiers allows having a gradual reasoning; moreover, it allows checking axiomatics of approximate reasoning. In this paper, we extend our approximate reasoning to hold with complex rules, i.e., rules whose premises are conjunction or disjunction of propositions. For this purpose, we introduce a new operator that aggregates linguistic modifiers and verifies the required properties of logical connectives within the multi-valued logic framework.
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2014Wiem Hammami, Lamjed Ben Said
The k-unobservability: a New Privacy Protection Guarantee for e-Service Systems
the paper provide a new garantee for e-services in terms of observability of its users. the idea is inspried from the k-anonymity model, 2014
Abstract
Rahma Dhaouadi, ,Ontology based Multi Agent System for Improved Procurement Process: Application for the Handicraft Domain
In the 18th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 15-17 September (251-260). Gdynia-Poland: Elseiver., 2014
Abstract
Suitable suppliers’ recommendation forms the basis for a successful procurement process. An automated personalization of procurement opportunities relies on the buyer and the seller profiles consistency. However, dealing with their profiles matching is not a trivial task. In fact, each contextual detail may play a crucial role in the decision making procedure especially when final users express very specific and variable needs in a heterogeneous and inconstant environment. In this paper, we designed and developed a multi agent system (MAS) for the supply chain automatization. It includes two supplier selection levels followed by a negotiation module relying on the handicraft woman online situation. Several handicraft business ontologies in addition to multi-side profile ontology are developed in order to drive the agent communication with the internal and external environment.
Rahma Dhaouadi, ,Système multi-agents à base d’ontologies pour la recommandation d’opportunités d’approvisionnement
In the fifth French Days on Ontology (JFO), 14-16 November (139-144). Hammamet-Tunisia, 2014
Abstract
En vue de s’approvisionner, les femmes artisanes brodeuses font face à divers problèmes. Disposer d’une vue globale portant sur les fournisseurs adaptés, les meilleures opportunités d’approvisionnement, ainsi que la gestion de rupture des stocks représentent un réel défit pour elles. Face à ces problèmes, les systèmes de recommandation ont montré leur performance en matière de personnalisation des connaissances accordées aux professionnels. Dans ce sens, nous proposons un prototype d’un système suggérant les fournisseurs de confiance les mieux adaptés par rapport au profil de la femme artisane en s’appuyant sur trois niveaux de sélection, suivis d’une phase de négociation. Le prototype proposé se base sur une architecture multi-agents et se sert d’une ontologie métier modélisant le métier de la broderie ainsi qu’une ontologie de profil permettant de définir les profils des acteurs métier.
In order to procure, the handicraft women (embroideresses), face various issues. Having a global overview on the suitable suppliers, the best procurement opportunities and the inventory shortage management represent a real challenge for them. To deal with these issues, the recommender systems have shown their performance in terms of the personalization of the knowledge provided to the professionals. In this respect, we propose a prototype for a system suggesting the trustworthy and suitable suppliers according to the handicraft woman profile and relying on three selection levels, followed by a negotiation phase. The proposed prototype is based on a multi-agents architecture and uses a business ontology modeling the embroidery business as well as profile ontology for setting the business actors’ profiles.
Wassim Ayadi,A memetic algorithm for discovering negative correlation biclusters of DNA microarray data
Neurocomputing, Volume 145 Pages 14-22, 2014
Abstract
Most biclustering algorithms for microarrays data analysis focus on positive correlations of genes. However, recent studies demonstrate that groups of biologically significant genes can show negative correlations as well. So, discovering negatively correlated patterns from microarrays data represents a real need. In this paper, we propose a Memetic Biclustering Algorithm (MBA) which is able to detect negatively correlated biclusters. The performance of the method is evaluated based on two well-known microarray datasets (Yeast cell cycle and Saccharomyces cerevisiae), showing that MBA is able to obtain statistically and biologically significant biclusters
, Wassim Ayadi, ,Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data
IAPR International Conference on Pattern Recognition in Bioinformatics, Pages 48-59, Springer, 2014
Abstract
Microarray represents a recent multidisciplinary technology. It measures the expression levels of several genes under different biological conditions, which allows to generate multiple data. These data can be analyzed through biclustering method to determinate groups of genes presenting a similar behavior under specific groups of conditions.This paper proposes a new evolutionary algorithm based on a new crossover method, dedicated to the biclustering of gene expression data. This proposed crossover method ensures the creation of new biclusters with better quality. To evaluate its performance, an experimental study was done on real microarray datasets. These experimentations show that our algorithm extracts high quality biclusters with highly correlated genes that are particularly involved in specific ontology structure.Mohamed Hmiden, Lamjed Ben Said,Transshipment problem with fuzzy customer demands and fuzzy inventory costs
International Journal of Management and Decision Making, 13(1), 99-118., 2014
Abstract
We consider a supply chain consisting of a supplier and locations selling an innovative product. These locations could collaborate together by transshipment which is known as product transferring adopted mainly to reduce inventory costs and to improve customer service level. In this research, we are interested in the transshipment problem where the customer demands, the holding and the shortage costs are uncertain and represented by fuzzy sets. Our objectives are to propose a transshipment policy that takes into account the fuzziness of the mentioned parameters and to derive the approximate replenishment quantities. In order to achieve these objectives, we propose a transshipment decision process considering decision makers attitudes towards risks and a hybrid algorithm based on fuzzy simulation and genetic algorithm designed to determine the approximate replenishment quantities.
