Open Access Open Access  Restricted Access Subscription or Fee Access

A Cloud Based Knowledge Structure Update and Machine Learning Framework for Heterogeneous Multi-Agent Systems

Egons Lavendelis

Abstract



The paper proposes knowledge representation and machine learning framework for multi-agent systems. The framework combines ontology based knowledge representation and knowledge structure update approach with rules and priority based reasoning as well as the user given feedback based machine learning algorithm. The research enables to update agents’ knowledge and also knowledge structures after launching the system. The knowledge base is provided to agents as a cloud, in particular, all these mechanisms are implemented in a centralised server that is available for all agents. The aim is to enable multi-agent systems, including multi-robot systems as one kind of multi-agent systems, to express adaptivity to changes in the environment and the system itself. The framework is the first step to the long term adaptivity and decision autonomy of multi-robot systems that is also called viability in Systems Theory. It is developed for domains where the main problem is to choose the most appropriate capability for a particular action. A heterogeneous multi-robot system for cleaning tasks is used as a case study in this paper. The multi-robot system is implemented in a simulated environment where each robot is simulated by a software agent developed in JADE agent development framework.

Keywords


Knowledge Based Systems, Knowledge Structure, Multi-Agent System, Ontology Learning, Machine Learning, Multi-Robot Systems

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.