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Distributed join calculus can be used to formally reason about concurrent systems. This paper introduces notion of an environment where agents interact. Based on the introduced formalisms a notion of knowledge which is exchanged by facts and common to all agents is presented. Introduction of the environment and knowledge extends number of agent system which can be expressed using join calculus algebra.
During several recent decades a lot of research projects have been done in the area of intelligent distance learning systems. Such systems became wide spread in different educational and industrial organizations due to rapid evolution of network engineering and Internet. The physical presence of teacher and students in one class is not required due to usage of such systems. Usually, such systems have...
The construction of web applications is a complex task as different kinds of technologies need to be integrated. To ease the task of developing web applications many different web frameworks have been conceived. These frameworks aim at providing support for recurring and tedious development tasks and address complexity by separating the basic concerns of applications. Most of the currently available...
Multi-agent system research deals with organization theoretical concepts in order to analyse and control supra-individual phenomena. However, there exists a conceptual gap between organizational specifications and their multi-agent implementation. We address this problem by presenting an integrated approach for the specification and deployment of organizational models based on Petri nets.
In this paper we propose a modification to a fuzzy constraint based framework for automated purchase negotiations in competitive trading environments. The goal of this work is to improve the performance of the negotiation processes in terms of computation time and joint utility. This modification is based on the use of clustering techniques in the seller’s decision mechanisms.
Cooperation is the fundamental characteristic of multi-agent systems where the overall system exhibits significantly greater functionality than the individual components. In this paper, we propose a P2P cooperation framework for multiple Case-based Reasoning (CBR) agents to handle the student models initialization problem in Intelligent Tutoring Systems (ITSs). Our work shows that using the “committee”...
The use of Multi-agent systems (MAS) in healthcare domain has been widely recognized. But, due to uncertainty in medical domain, it is difficult to decide the appropriate agent with whom to collaborate in order to find the proper diagnosis for a given set of sign-symptoms. To overcome this problem, a Bayesian network (BN) based decision making framework is presented. The proposed methodology is applied...
This paper presents a proposal for a flexible agent mobility architecture based on IEEE-FIPA standards and intended to be one of them. This proposal is a first step towards interoperable mobility mechanisms, which are needed for future agent migration between different kinds of platforms. Our proposal is presented as a flexible and robust architecture that has been successfully implemented in the...
HeCaSe2 is a multi-agent system that intends to help doctors to apply clinical guidelines to their patients in a semi-automatic fashion. HeCaSe2 agents need a lot of (scattered) information on health care organisations, as well as medical knowledge, in order to provide an efficient support to health care practitioners. Modelling all these data is certainly a hard task. The paper describes how the...
Nowadays, there exist some toolkits that design and implement multi-agent systems. However, these toolkits have certain deficiencies when applied in specific environments (i.e. real-time environments). In these environment there may be strict temporal restrictions that require the use of specific agent architectures. Since these architectures are not covered in the development process of existing...
In this work we describe the development process of multi-agent application design and implementation with Mulan. Our approach can be characterized as model driven development by using models in all stages and levels of abstraction regarding design, implementation and documentation. Both, standard methods from software development as well as customized ones are used to satisfy the needs of multi-agent...
Intelligent Tutoring Systems (ITSs) base their interoperability on the interchange of domain knowledge about learning and teaching processes and about students. To enable the interchange of domain knowledge between ITSs and heterogeneous Health Information Systems (HIS) we propose a multi-agent architecture allowing sharing patient’s clinical data in Health Information Systems. The Health Level (HL7)...
The issue of multi-agent planning in highly dynamic environments is a major impediment to conventional planning solutions. Plan repair and replanning solutions alike have difficulty adapting to frequently changing environment states. To adequately handle such situations, this paper instead focuses on preserving individual agent plans through multi-agent coordination techniques. We describe a reactive...
Ontology matching plays a vital role in a number of areas, such as knowledge integration, services composition or system interoperability. In this paper we present an architectural overview of an ontological service, wrapped up as an Ontology Agent, supporting automated ontology matching and facilitating inter-agent communication.
To allow for flexibility in software structures (architectures) especially plugins and agents are proposed solutions. While plugins are used to support the conceptual and practical issues within component oriented software environments, agents are used in software areas where social metaphors like (self-)adaptability, flexibility, mobility, interactivity etc. are of interest. Common to both approaches...
This work focuses on the problem of inventory management which is an important element of the supply-chain management challenge. The goal of our research was to develop an application which supports decision making regarding optimal strategies for producing electrical machines. The multi-agent approach offers several valuable features which may be exploited for supply-chains management: problem decentralization,...
Resource allocation in distributed systems is an exciting area of research. Inherent properties in this environment, such as strategic users acting selfishly and the structure of the environment within which exchanges occur, are relevant challenges to study. This paper proposes a market–based resource allocation in a distributed environment and explores the effects of network structure on the allocation...
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