Search results for "Multi-Agent System"
showing 10 items of 154 documents
Contribution of Multi-Agent Systems and Fuzzy logic to support tutors in Learning Communities
2016
The growing importance of online training has put emphasis on the role of remote tutoring. A whole new area of research, dedicated to environment for human learning (EHL), is emerging. We are concerned with this field. More specifically, we will focus on the monitoring of learners.The instrumentation and observation of learners activities by exploiting interaction traces in the EHL and the development of indicators can help tutors to monitor activities of learners and support them in their collaborative learning process. Indeed, in a learning situation, the teacher needs to observe the behavior of learners in order to build an idea about their involvement, preferences and learning styles so…
An Expert System for the Design of Agents
2007
The growing interest for the design and development of multi-agent systems has brought to the creation of a specific research area called Agent-Oriented Software Engineering (AOSE), specifically conceived for the development of complex systems. The development of such systems needs the support of appropriate tools that could help the designer in producing the design artefacts. We developed a tool called Metameth that may be used to define a new (agent-oriented) design process as well as to apply it. In this paper, we describe only a slice of this complex tool, specifically addressing the interaction with human actors (the designers). This subsystem is conceived as a collaborative multi-agen…
Tuning Java to Run Interactive Multiagent Simulations over Jason
2010
Java-based simulation environments are currently used by many multiagent systems (MAS), since they mainly provide portability as well as an interesting reduction of the development cost. However, this kind of MAS are rarely considered when developing interactive applications with time response constraints. This paper analyses the performance provided by Jason, a well-known Java-based MAS platform, as a suitable framework for developing interactive multiagent simulations. We show how to tune both the heap size and the garbage collection of the Java Virtual Machine in order to achieve a good performance while executing a simple locomotion benchmark based on crowd simulations. Furthermore, the…
Requirement analysis abstractions for AmI system design
2015
Current trends in the AI’s evolution are going towards enriching environments with intelligence in order to support humans in their everyday life. AmI systems are plunged in the real world and humans expect to interact with them in a way that is similar to the one they have with other humans. In this kind of systems, where eliciting requirements involves several documents and stakeholders (mainly users that will be the first consumers of the system), the requirement analysis phase can be affected by incomplete, ambiguous and imprecise information. Hence, the need to find a fruitful way for knowledge management and its representation at design time. In this paper we propose a set of abstract…
Investigation of Simulated Trading — A multi agent based trading system for optimization purposes
2010
Abstract Some years ago, Bachem, Hochstattler, and Malich proposed a heuristic algorithm called Simulated Trading for the optimization of vehicle routing problems. Computational agents place buy-orders and sell-orders for customers to be handled at a virtual financial market, the prices of the orders depending on the costs of inserting the customer in the tour or for his removal. According to a proposed rule set, the financial market creates a buy-and-sell graph for the various orders in the order book, intending to optimize the overall system. Here I present a thorough investigation for the application of this algorithm to the traveling salesman problem.
Modèle de simulation à double-agent du processus de développement résidentiel : une approche institutionnelle pour expliquer la forme spatiale des dé…
2013
This thesis presents PARDISIM, a simulation model that takes an institutionaleconomic approach in the simulation of the residential development process.Rather then modelling the residential development as the result of locationchoices at household level, PARDISIM focusses on the objectives and interac-tions of development actors. The idea behind this approach is that developmentactors, including public planning authorities, play an important role in the pro-cess of residential development. The model is top-down whereas the most recentefforts by other scholars focus instead on a bottom-up approach. Initial testingshows that PARDISIM is capable of producing realistic spatial patterns.
A Decisional Multi-Agent Framework for Automatic Supply Chain Arrangement
2013
In this work, a multi-agent system (MAS) for supply chain dynamic configuration is proposed. The brain of each agent is composed of a Bayesian Decision Network (BDN); this choice allows the agent for taking the best decisions estimating benefits and potential risks of different strategies, analyzing and managing uncertain information about the collaborating companies. Each agent collects information about customer's orders and current market prices, and analyzes previous experiences of collaborations with trading partners. The agent therefore performs a probabilistic inferential reasoning to filter information modeled in its knowledge base in order to achieve the best performance in the sup…
Challenging aspects in Consensus protocols for networks
2008
Results on consensus protocols for networks are presented. The basic tools and the main contribution available in the literature are considered, together with some of the related challenging aspects: estimation in networks and how to deal with disturbances is considered. Motivated by applications to sensor, peer-to- peer, and ad hoc networks, many papers have considered the problem of estimation in a consensus fashion. Here, the unknown but bounded (UBB) noise affecting the network is addressed in details. Because of the presence of UBB disturbances convergence to equilibria with all equal components is, in general, not possible. The solution of the epsiv-consensus problem, where the states…
HOW SMART DOES AN AGENT NEED TO BE?
2005
The classic distributed computation is done by atoms, molecules or spins in vast numbers, each equipped with nothing more than the knowledge of their immediate neighborhood and the rules of statistical mechanics. These agents, 1023 or more, are able to form liquids and solids from gases, realize extremely complex ordered states, such as liquid crystals, and even decode encrypted messages. We will describe a study done for a sensor-array "challenge problem" in which we have based our approach on old-fashioned simulated annealing to accomplish target acquisition and tracking under the rules of statistical mechanics. We believe the many additional constraints that occur in the real problem ca…
Distributed Consensus in Noncooperative Inventory Games
2009
This paper deals with repeated nonsymmetric congestion games in which the players cannot observe their payoffs at each stage. Examples of applications come from sharing facilities by multiple users. We show that these games present a unique Pareto optimal Nash equilibrium that dominates all other Nash equilibria and consequently it is also the social optimum among all equilibria, as it minimizes the sum of all the players’ costs. We assume that the players adopt a best response strategy. At each stage, they construct their belief concerning others probable behavior, and then, simultaneously make a decision by optimizing their payoff based on their beliefs. Within this context, we provide a …