Holonic Modeling of Environments for Situated Multi-agent Systems

Rodriguez, Sebastian S.; Hilaire, Vincent; Koukam, Abderraf́ıâa

doi:10.1007/11678809_2

Cited by 17 publications

(6 citation statements)

References 17 publications

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“…We will also study how detect which concepts behind these word clusters and document clusters and introduce human interaction in this process. For the last point, the introduction of multiagent systems (Hilaire et al 2003) and the study of hierarchical structures such as holarchies (Rodriguez et al 2006) may allow the dynamic evolution of hierarchical clusters and the integration of the humans in the process.…”

Section: Resultsmentioning

confidence: 99%

Automatic generation of ontologies: a hierarchical word clustering approach

Sellah¹,

Hilaire²

2018

IJCSIS

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In the context of globalization, companies need to capitalize on their knowledge. The knowledge of a company is present in two forms tacit and explicit. Explicit knowledge represents all formalized information i.e all documents (pdf, words ...). Tacit knowledge is present in documents and mind of employees, this kind of knowledge is not formalized, it needs a reasoning process to discover it. The approach proposed focus on extracting tacit knowledge from textual documents. In this paper, we propose hierarchical word clustering as an improvement of word clusters generated in previous work, we also proposed an approach to extract relevant bigrams and trigrams. We use Reuters-21578 corpus to validate our approach. Our global work aims to ease the automatic building of ontologies.

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Section: Resultsmentioning

confidence: 99%

Automatic generation of ontologies: a hierarchical word clustering approach

Sellah¹,

Hilaire²

2018

IJCSIS

Self Cite

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“…A group is an aggregation of holons. On the one hand, several groups can be merged together resulting in an organization [16]. At the atomic level, a holon represents a sensor node.…”

Section: Organization Levelmentioning

confidence: 99%

Using multi-agent geo-simulation techniques for intelligent sensor web management

Mekni

Moulin

2008

Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology - CSTST '08

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Sensor webs consist of a large collection of small nodes providing collaborative and distributed sensing ability in unpredictable environments. Nodes composing such sensor webs, are characterized by their resource restrictions, especially the energy, the processing, and the communication capacities. These nodes are also in constant interaction with each other and with their geographic environment. An efficient system aiming at managing sensor webs must take into account the evolution of the sensor nodes as well as the geographic environment. Such a management process involves coping with a variety of dynamic variables including the nodes characteristics, the environment properties as well as the sensed data. In this context, Multi-Agent GeoSimulation (MAGS) provides a flexible approach that can be used to easily analyse complex systems such as sensor webs in large scale georeferenced environments. The purpose of this paper is to present SensorMAGS, an agent-based geosimulation system which manages sensor nodes in virtual geographic environments. This system is applied in the context of a water resource monitoring project.

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“…In [24], the agent environment is decomposed into independent interaction spaces, each of which defines explicitly local environmental rules. In the domain of large-scale traffic simulation, [25] applies a holonic modeling of the agent environment so that the environmental processes apply only locally. These examples show that decentralizing the structure of the agent environment and managing access to resources based on the principle of locality are already identified as key principles for achieving scalability of agent environments.…”

Section: Challenges On Large Scale Agent Environments In Retrospectmentioning

confidence: 99%

Agent Environments for Multi-agent Systems – A Research Roadmap

Weyns

Michel

2015

Lecture Notes in Computer Science

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Abstract. Ten years ago, researchers in multi-agent systems became more and more aware that agent systems consist of more than only agents. The series of workshops on Environments for Multi-Agent Systems (E4MAS 2004(E4MAS -2006 emerged from this awareness. One of the primary outcomes of this endeavor was a principled understanding that the agent environment should be considered as a primary design abstraction, equally important as the agents. A special issue in JAAMAS 2007 contributed a set of influential papers that define the role of agent environments, describe their engineering, and outline challenges in the field that have been the drivers for numerous follow up research efforts. The goal of this paper is to wrap up what has been achieved in the past 10 years and identify challenges for future research on agent environments. Instead of taking a broad perspective, we focus on three particularly relevant topics of modern software intensive systems: large scale, openness, and humans in the loop. For each topic, we reflect on the challenges outlined 10 years ago, present an example application that highlights the current trends, and from that outline challenges for the future. We conclude with a roadmap on how the different challenges could be tackled.

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Holonic Modeling of Environments for Situated Multi-agent Systems

Cited by 17 publications

References 17 publications

Automatic generation of ontologies: a hierarchical word clustering approach

Automatic generation of ontologies: a hierarchical word clustering approach

Using multi-agent geo-simulation techniques for intelligent sensor web management

Agent Environments for Multi-agent Systems – A Research Roadmap

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