Adaptive Digital Resource Modeling as Service Provider and Consumer

International audienceThe increase in the production of heterogeneous and multi-source digital data over last years raises several issues regarding their management and use. Hence, users can face some difficulties in selecting the adequate digital resources and combining them to reach their objectives in a given activity. In this paper, we focus on digital resources design and management in order to enhance their retrieval, interoperability, adaptation and collaboration within an adaptive system. In practical terms, our work consists in a new method for digital resource design and management capable of enhancing their usability. It relies on RESTful web service-based methodology and platform thinking approach. We have implemented our method in an interactive and adaptive PLE to assist researchers in using and managing their digital resources, called PRISE for PeRsonal Interactive research Smart Environment. We have also undertaken some experiments with PRISE platform in our laboratory. The result showed that modeling digital resources with RESTful and platform thinking concept enhances digital resource usability in terms of retrieving, interoperability, adaptation and collaboration

Supporting Virtual Enterprise Systems Using Agent Coordination

International audienceOpen environments like the Internet or corporate intranets enable a large number of interested enterprises to access, filter, process, and present information on an as-needed basis. These environments support modern applications, such as virtual enterprises and inter-organizational workflow management systems, which involve a number of heterogeneous resources, services, and processes. However, any execution of a virtual enterprise system would yield to disjoining and error-prone behavior without appropriate techniques to coordinate the various business processes. This paper reports on the design and implementation of a flexible agent-based framework for supporting the coordination of virtual enterprises and workflow management systems. The paper also shows how an agent coordination infrastructure, which is explained by social constraints, can impact on the engineering of highly dynamic virtual enterprises and workflow management systems by presenting a simple case study

Approche de présélection multicritère à base de traces pour la prise de décision dans les applications interactives de type jeux

International audienceLa prise de décision dans les jeux est une fonctionnalité indispensable pour automatiser les jeux et les rendre plus autonomes et plus intelligents. Un algorithme de décision effectue les calculs d’optimisation sur l’ensemble des solutions possibles. Cela fait augmenter le temps de calcul et pose un problème d’explosion combinatoire lorsque l’espace de solutions est grand. Afin de surmonter ce problème, nous présentons une approche de présélection des solutions pertinentes avant d’effectuer une décision. Notre approche comporte deux étapes : i) utilisation des traces (exécutions antérieures des utilisateurs) pour identifier toutes les solutions potentielles ; ii) estimation de la pertinence, appelée utilité, de chacune de ces solutions potentielles. Nous obtenons un ensemble de solutions candidates présélectionnées qui sera utilisé comme entrée à la prise de décision. Nous expérimentons notre approche sur un prototype du jeu Tamagotchi

Trace-Based Decision Making in Interactive Application: Case of Tamagotchi systems

International audience— We present our exploratory work for situation preselecting in interactive applications, assuming that the application is an Interactive Adaptive System based on a sequence of contextualized "situations". Each situation confines activities and interactions related to a common context, resources and system actors. When one situation is completed, the system has to determine which is the best following one. We introduce in this paper a new preselecting method that identifies possible next situations among all available situations. We propose a strategy using Naïve Bayes based on the analysis of the sets of available traces (the past of users). Combining all obtained results, we get a set of situations, called set of alternatives that can be used in any decision algorithm. We demonstrate our approach on a case study based on Tamagotchi game

Toward a Trace-Based PROMETHEE II Method to answer " What can teachers do? " in Online Distance Learning Applications

International audienceIn an Online Distance Learning (ODL) application, the learning sce- nario is a situation chaining from an initial system’s state to one of the final states where course’s criteria are met. A situation is a contextualized sequence of interactions. Teachers are successively involved in different situations: at the end of one situation, they choose the next one. An Intelligent Tutoring System will be used to support teachers in choosing an appropriate situation. In this pa- per, we show how to apply a decision method (PROMETHEE II) combining with the system traces analysis to automatically recommend to teachers one situation in order to execute during an e-Learning course. Experimental results of our ODL environment are presented to illustrate our method

Trace-Based Weighting Approach for Multiple Criteria Decision Making

International audienceDecision-making has evolved as an interesting research problem for decision community. We consider a decision problem that takes into account several criteria called Multiple Criteria Decision Making (MCDM) in an interactive application for adaptive execution. In this paper, we present a method for automatically weighting criteria generation based on users' traces. In our method, we suggest a process that contains all steps describing alternately what is necessary to prepare in order to weight all criteria. We propose a modified method using Naïve Bayes network to exploit the traces (the past of users), there will be used as information for estimating the score of criteria. Experimental results are presented to illustrate a full process and an automatic generation of weighting criteria by a set of values

Application of Trace-Based Subjective Logic to User Preferences Modeling

International audienceA good way to help users make decisions in an interactive application consists in suggesting choices in accordance with their preferences. This decision problem faces challenging tasks, mainly in choosing a good solution that satisfies users and reaches the defined goal. Classical decision methods take into account the goal, but not all the obtained decisions can satisfy users’ preferences. The originality of our explorative research is to associate Subjective Logic (SL) to system’s traces (historical information) in order to model the user preferences that improve the decision process. Following JØsang, SL provides a suitable framework for modeling and formally describing users’ preferences. We propose to connect data collected in past executions, called traces, to the user intuition in order to support subjective reasoning. Based on this result, we can choose a reasonable decision according to users’ preferences. A Tamagotchi system will be presented to validate our result

A process for Trace-Based Criteria Weighting in Multiple Criteria Decision Making

Decision-making has evolved as an interesting research problem for decision community. We consider a decision problem that takes into account several criteria called Multiple Criteria Decision Making (MCDM) in an interactive application for adaptive execution. In this paper, we present a method for automatically weighting criteria generation based on users' traces. In our method, we suggest a process that contains all steps describing alternately what is necessary to prepare in order to weight all criteria. We propose a modified method using Naïve Bayes network to exploit the traces (the past of users), there will be used as information for estimating the score of criteria. Experimental results are presented to illustrate a full process and an automatic generation of weighting criteria by a set of values