5446179
Declarative Agent Programming Support for a FIPA-Compliant Agent Platform
Multi-agent system(MAS) is a blooming research area, which exhibits a new paradigm for the design, modeling and implementation of complex systems. A significant amount of effort has been made in establishing standards for agent communication and MAS platforms. However, communication is not the only difficulty faced by agent researchers. Research is also directed towards the formal aspects of agents and declarative approaches to model agents. This paper explores the bonding between high-level reasoning engines and low-level agent platforms in the practical setting of using three formal agent reasoning implementations together with an existing agent platform, OPAL, that supports the FIPA standards. We focus our discussion in this paper on our approach to provide declarative agent programming support in connection with the OPAL platform, and show how declarative goals can be used to glue the internal micro agents together to form the hierarchical architecture of the platform.
28766981
An Agent-Based Collaborative Framework for Mobile P2P Applications
The design of ad-hoc, wireless, peer-to-peer applications for small mobile devices raises a number of challenges for the developer, with object synchronisation, network failure, and device limitations being the most significant. In this paper, we introduce the FRAGme2004 framework for mobile P2P application development. To address data availability and stability problems, we have devised an agent-based fostering mechanism to protect applications against data losses in cases of peers dropping out. In contrast to most current literature, we focus on small scale P2P applications, especially gaming applications.
231152
Capturing the spatio-temporal behavior of real traffic data
Traffic data, such as disk and memory accesses, typically exhibits burstiness, temporal locality, and spatial locality. However, except for qualitative speculations, it is not even known how to measure the spatio-temporal correlation, let alone how to re-produce it realistically. In this paper, we propose the "entropy plots" to quantify the correlation and develop a new statistical model, the "PQRS" model, to capture the burstiness and correlation of the real spatio-temporal traffic. Moreover, the model requires very few parameters and offers linear scalability. Experiments with multiple real data sets show that our model can mimic real traces very well.
12605479
E-Service/Process Composition Through Multi-agent Constraint Management
E-service/process composition requires allocating suitable resources to a set of services that constitute a composite service/process. The problem is complicated due to undetermined constraints of each component service and unpredictable solutions contributed by service providers. It needs the ability to rapidly identify the suitable solutions as well as effectively coordinate them under various constraints. In this paper, an agent-mediated coordination framework for e-service/process composition is proposed. Each agent works as a broker for each service type, posting service constraints, searching suitable solutions and refining the constraints for achieving coherence among the decisions of each service. Based on the framework, a prototype of multi-agent supported e-supply chain composition is implemented. The experimental results indicate the significant effectiveness of the approach.
12211000
Intelligent Agent Supported Business Process Management
The complex business environment requires managing business processes with the ability to adapt to changes and to collaborate in activities. Conventional workflow approaches based on predefined logical procedure offer little support for the dynamic business environment. A cognitive agent-based approach is proposed to manage business activities based on situational awareness and real-time decisions on activities. Business activities are delegated to a number of cognitive and collaborative problem-solving agents. Each software agent perceives its environment by capturing events and monitoring the state of tasks and resources. Based on the continuous perception of environment, business rules concerning process routing, operational constraint, exception handling and business strategy are used by such software agents to perform appropriate actions. The mechanism of this approach is investigated, and a case application of exception management in securities trading is developed to demonstrate the validity and benefits of this approach.
12835964
Dribbling Control of Omnidirectional Soccer Robots
This paper focuses on the dribbling control problem of an omnidirectional mobile robot. Because the movement of the dribbled object must be considered, dribbling control is more challenging than normal mobile robot motion control. A new feedback control algorithm, which steers a reference point to follow the desired movement and keeps the ball near to this point simultaneously, is proposed. To dribble a rolling ball along a given path, the robot should provide the ball with appropriate force by consecutive pushing operations when they travel in an environment with obstacles. Based on the analysis of the forces acting on the ball with respect to the mobile robot coordinate system, a constraint for robot movement in the dribbling process is also introduced. The simulation and real-world experiments address the performance of this control algorithm.
7484569
The design of intelligent workflow monitoring with agent technology
In recent years, workflow technology has been widely used in business process management. With the increased complexity, uncertainty and risks in business operations, workflow monitoring is gaining growing attention in business process controlling and supervision. However, monitoring functions provided in traditional workflow systems lack flexibility, and provide little support for managing complex and dynamical changes in business process. In this paper, we propose a novel workflow monitoring approach, in which various intelligent agents work together to perform flexible monitoring tasks in an autonomous and collaborative way. By using customized monitoring plan and proactive monitoring process, the workflow monitoring activities can be executed flexibly and efficiently. The application of intelligent agents for such flexible, adaptive and collaborative workflow monitoring is investigated through an intelligent monitoring system in securities trading.