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Dive into the research topics where Maria Ganzha is active.

Publication


Featured researches published by Maria Ganzha.


E-Service Intelligence | 2007

Developing a Model Agent-based E-Commerce System

Costin Bǎdicǎ; Maria Ganzha; Marcin Paprzycki

It is easy to realize that goals set behind a large class of agent systems match these put forward for systems defined as e-service intelligence. In this chapter we describe a model agent-based e-commerce system that utilizes rule-based approach for price negotiations. Furthermore, the proposed system attempts at mediating the apparent contradiction between agent mobility and intelligence.


IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) | 2006

tilizing agent teams in grid resource management preliminary considerations

Mateusz Dominiak; Wojciech Kuranowski; Maciej Gawinecki; Maria Ganzha; Marcin Paprzycki

Recently it was suggested that (mobile) software agents can provide an infrastructure for resource management in grids. In this note we introduce an approach based on agent teams, and discuss how it can he used in grid resource management. Details of initial implementation of one of its functionalities are discussed


symbolic and numeric algorithms for scientific computing | 2005

Mobile agents in a multi-agent e-commerce system

Costin Badica; Maria Ganzha; Marcin Paprzycki

Among features often attributed to software agents are autonomy and mobility. Autonomy of e-commerce agents involves adaptability to engage in negotiations governed by mechanisms not known in advance, while their mobility entails such negotiations taking place at remote locations. This paper aims at combining adaptability with mobility, by joining rule-based mechanism representation with modular agent design, and at UML-formalizing selected aspects of the resulting system. Furthermore, we discuss the issue of agent mobility and argue why such agents have been proposed for the system under consideration.


acm symposium on applied computing | 2006

Implementing rule-based mechanisms for agent-based price negotiations

Costin Bădică; Adriana Bădită; Maria Ganzha

This note describes a sample implementation of automated negotiations in an e-commerce modeling multi-agent system. A specific set of rules is used for enforcing negotiation mechanisms. Discussion of system design and implementation using JADE and JESS is provided. Finally, an experiment involving multiple English auctions performed in parallel is discussed.


rules and rule markup languages for the semantic web | 2005

Rule-Based framework for automated negotiation: initial implementation

Costin Bădică; Adriana Bădiţă; Maria Ganzha; Alin Iordache; Marcin Paprzycki

The note reports on the current status of an implementation of a rule-based negotiation mechanism in a model e-commerce multi-agent system. Here, we briefly describe the conceptual architecture of the system and its initial implementation utilizing JADE and JESS. A particular negotiation scenario involving English auctions performed in parallel is also discussed.


Journal of Network and Computer Applications | 2017

Semantic interoperability in the Internet of Things: An overview from the INTER-IoT perspective

Maria Ganzha; Marcin Paprzycki; Wieslaw Pawlowski; Pawel Szmeja; Katarzyna Wasielewska

Abstract The Internet of Things (IoT) idea, explored across the globe, brings about an important issue: how to achieve interoperability among multiple existing (and constantly created) IoT platforms. In this context, in January 2016, the European Commission has funded seven projects that are to deal with various aspects of interoperability in the Internet of Things. Among them, the INTER-IoT project is aiming at the design and implementation of, and experimentation with, an open cross-layer framework and associated methodology to provide voluntary interoperability among heterogeneous IoT platforms. While the project considers interoperability across all layers of the software stack, we are particularly interested in answering the question: how ontologies and semantic data processing can be harnessed to facilitate interoperability across the IoT landscape. Henceforth, we have engaged in a “fact finding mission” to establish what is currently at our disposal when semantic interoperability is concerned. Since the INTER-IoT project is initially driven by two use cases originating from (i) ( e/m ) Health and (ii) transportation and logistics , these two application domains were used to provide context for our search. The paper summarizes our findings and provides foundation for developing methods and tools for supporting semantic interoperability in the INTER-IoT project (and beyond).


symbolic and numeric algorithms for scientific computing | 2007

Adaptive Information Provisioning in an Agent-Based Virtual Organization- Preliminary Considerations

Maria Ganzha; Marcin Paprzycki; Maciej Gawinecki; Costin Badica; Elvira Popescu; Myon-Woong Park

In this note we consider design of a information provisioning subsystem for an agent-based virtual organization. Flexible delivery of information is based on matching of ontologically demarcated resource profiles, work contexts, and domain specific knowledge.


international conference on computational science | 2006

A consensus-based multi-agent approach for information retrieval in internet

Ngoc Thanh Nguyen; Maria Ganzha; Marcin Paprzycki

This paper presents a consensus-based approach utilized within a multi-agent system which assists users in retrieving information from the Internet. In this system consensus methods are applied for reconciling inconsistencies among independent answers generated by agents (using different search engines) for a given query. Proposed agent system has been implemented and initial experimental results are presented.


complex, intelligent and software intensive systems | 2007

Selecting Grid-Agent-Team to Execute User-Job--Initial Solution

Mateusz Dominiak; Maria Ganzha; Marcin Paprzycki

Recently we have proposed a novel approach to utilizing agent teams as resource brokers and managers in the grid. Thus far we have presented an overview of the proposed approach discussed how to efficiently implement the information center, where agent teams advertise their needs and resources. In this paper we focus our attention on the way that user selects agent team that will execute its job. Details of initial implementation are presented and discussed


atlantic web intelligence conference | 2007

Agent-Based Adaptive Learning Provisioning in a Virtual Organization

Maria Ganzha; Marcin Paprzycki; Elvira Popescu; Costin Bădică; Maciej Gawinecki

In this note we consider design of a learning provisioning subsystem for an agent-based virtual organization. Flexible delivery of learning content is based on matching of ontologically demarcated user profiles, domain specific knowledge and learning modules.

Collaboration


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Marcin Paprzycki

Polish Academy of Sciences

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Ivan Lirkov

Bulgarian Academy of Sciences

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Maciej Gawinecki

Systems Research Institute

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Pawel Szmeja

Polish Academy of Sciences

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Michal Drozdowicz

Polish Academy of Sciences

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Michal Szymczak

Polish Academy of Sciences

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