Enacting the Distributed Business Workflows Using BPEL4WS on the Multi-agent Platform

2005 ◽  
pp. 35-46 ◽  
Author(s):  
Li Guo ◽  
Dave Robertson ◽  
Yun-Heh Chen-Burger
Keyword(s):  
Agent Platform ◽  
Multi Agent

scholarly journals Control Prosody using Multi-Agent System

2014 ◽  
Vol 2 (4) ◽  
pp. 49-56
Author(s):  
Kenji Matsui ◽  
Kenta Kimura ◽  
Alberto Pérez
Keyword(s):  
User Interface ◽  
Frequency Conversion ◽  
Control Unit ◽  
Mapping Method ◽  
Linear Mapping ◽  
Motion Sensor ◽  
Agent Platform ◽  
Perceptual Evaluation ◽  
Pitch Frequency ◽  
Multi Agent

Persons who have undergone a laryngectomy have a few options to partially restore speech but no completely satisfactory device. Even though the use of an electrolarynx (EL) is the easiest way for a patient to produce speech, it does not produce a natural tone and appearance is far from normal. Because of that and the fact that none of them are hands-free, the feasibility of using a motion sensor to replace a conventional EL user interface has been explored. A mobile device motion sensor with multi-agent platform has been used to investigate on/off and pitch frequency control capability. A very small battery operated ARM-based control unit has also been developed to evaluate the motion sensor based user-interface. This control unit is placed on the wrist and the vibration device against the throat using support bandage. Two different conversion methods were used for the forearm tilt angle to pitch frequency conversion: linear mapping method and F0 template-based method A perceptual evaluation has been performed with two well-trained normal speakers and ten subjects. The results of the evaluation study showed that both methods are able to produce better speech quality in terms of the naturalness.

Enhanced Reputation Model with Forgiveness for E-Business Agents

2011 ◽  
Vol 3 (1) ◽  
pp. 11-26 ◽  
Author(s):  
Radu Burete ◽  
Amelia Badica ◽  
Costin Badica ◽  
Florin Moraru
Keyword(s):  
Computational Models ◽  
Business Environment ◽  
Quality Attribute ◽  
Agent Based ◽  
Agent Platform ◽  
Business Transactions ◽  
Multi Agent ◽  
Important Quality ◽  
Reputation Model ◽  
Sample Set

Trust is a very important quality attribute of an e-service. In particular, the increasing complexity of the e-business environment requires the development of new computational models of trust and reputation for e-business agents. In this paper, the authors introduce a new reputation model for agents engaged in e-business transactions. The model enhances classic reputation models by the addition of forgiveness factor and the use of new sources of reputation information based on agents groups. The paper proposes an improvement of this model by employing the recent con-resistance concept. Finally, the authors show how the model can be used in an agent-based market environment where trusted buyer and seller agents meet, negotiate, and transact multi-issue e-business contracts. The system was implemented using JADE multi-agent platform and initially evaluated on a sample set of scenarios. The paper introduces the design and implementation of the agent-based system together with the experimental scenarios and results.

Medical Data Visualization via a Pervasive Multi-Agent Platform

2009 ◽  
Vol 1 (4) ◽  
pp. 68-81
Author(s):  
Antonio Coronato ◽  
Luigi Gallo ◽  
Giuseppe De Pietro
Keyword(s):  
Pervasive Computing ◽  
Medical Data ◽  
Volume Data ◽  
Software Infrastructure ◽  
Pervasive Healthcare ◽  
Medical Practitioners ◽  
Agent Platform ◽  
Computing Paradigm ◽  
Multi Agent ◽  
Pervasive Access

Pervasive healthcare is the field of application emerging from the combination of healthcare with pervasive computing, which is the computing paradigm that provides users with access to services in a transparent way, wherever they are and whichever their interacting device is. In this paper, a software infrastructure for pervasive healthcare is presented. Such an infrastructure aims at supporting medical practitioners with advanced pervasive access to medical data, which is also context-aware in the sense that the modality to fruit data depends on the device used by the operator and on his or her physical position within the environment. The paper also describes a service for high quality 3D rendering of medical volume data, which takes advantage of the software infrastructure to distribute the computational load upon the devices available in the environment in a completely transparent way to users.

SUPPORTING AGENT-ORIENTED MODELLING WITH UML

2002 ◽  
Vol 12 (06) ◽  
pp. 605-618 ◽  
Author(s):  
FEDERICO BERGENTI ◽  
AGOSTINO POGGI
Keyword(s):  
Software Engineering ◽  
Levels Of Abstraction ◽  
Uml Profile ◽  
Code Generator ◽  
Agent Platform ◽  
Level Of Abstraction ◽  
Agent Oriented Software Engineering ◽  
Development Framework ◽  
Interacting Agents ◽  
Multi Agent

Software engineering relies on the possibility of describing a system at different levels of abstraction. Agent-oriented software engineering introduces a new level of abstraction, that we called agent level, to allow the architect modelling a system in terms of interacting agents. This level of abstraction is not supported by an accepted set of tools and notations yet, even if a number of proposals are available. This paper introduces: (i) An UML-based notation capable of modelling a system at the agent level and (ii) A development framework, called ParADE, exploiting such a notation. The notation we propose is formalized in terms of a UML profile and it supports the realisation of artefacts modelling two basic concepts of the agent level, i.e., the architecture of the multi-agent system and the ontology followed by agents. The choice of formalising our notation in terms of a UML profile allows using it with any off-the-shelf CASE tool. The ParADE framework takes advantage of this choice by providing a code generator capable of producing skeletons of FIPA-compliant agents from XMI files of agent-oriented models. The developer is requested to complete the generated skeletons exploiting the services that ParADE and the underlying agent platform provide.

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