Non-holistic Agents A project idea Patrick De Causmaecker.

Non-holistic AgentsNon-holistic Agents

A project ideaA project idea

Patrick De CausmaeckerPatrick De Causmaecker

23-11-00 Semantic Web Technologies Workshop, Luxembourg, [email protected]

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Who we areWho we are

Research group within Kaho St-Lieven in Research group within Kaho St-Lieven in Ghent, BelgiumGhent, Belgium

Four years of technology transfer research Four years of technology transfer research in agents technolgyin agents technolgy

Sponsored by the Flemish governmentSponsored by the Flemish government


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AgentsAgents

Agents are specialised in one problem Agents are specialised in one problem domaindomain

They are not designed to understand the They are not designed to understand the whole business model of an application whole business model of an application they are visitingthey are visiting

They have a thorough understanding of They have a thorough understanding of their own field, and bear a model of this their own field, and bear a model of this field (ontology)field (ontology)


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Holistic systemsHolistic systems

The applications they are visiting may be The applications they are visiting may be holistic or notholistic or not

In general, they have to communicate with In general, they have to communicate with a set of applications, more or less a set of applications, more or less integrated, which do solve the actual integrated, which do solve the actual automation problem of the businessautomation problem of the business

In this sense they visit a system bearing a In this sense they visit a system bearing a model of the businessmodel of the business


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Agents on foreign territoryAgents on foreign territory

Agents are designed to serveAgents are designed to serve They must apply their specialised They must apply their specialised

knowledge to boost the performance of knowledge to boost the performance of their client systemstheir client systems

The model of their specialisation will in The model of their specialisation will in general not fit into the application set of the general not fit into the application set of the clientclient

They have to be able to find the crucial They have to be able to find the crucial hooks in the client applicationhooks in the client application


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Goal of the proposalGoal of the proposal

For this they need a mapping methodologyFor this they need a mapping methodology One side of the mapping is the system of One side of the mapping is the system of

the clientthe client The other side is the domain model the The other side is the domain model the

agent is carryingagent is carrying This model may be a (thin) ontology This model may be a (thin) ontology

enabling the agent to communicate with enabling the agent to communicate with other agents from the same domainother agents from the same domain


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Goal continuedGoal continued

The client system will look as a chaotic set The client system will look as a chaotic set of data to the agentof data to the agent

The mapping will require other knowledge The mapping will require other knowledge and expertise about the business domain and expertise about the business domain than the agent knows aboutthan the agent knows about

The agent may have to build on previous The agent may have to build on previous experiences and will be a learning machineexperiences and will be a learning machine

It will perform an analysis of the system in It will perform an analysis of the system in which it arriveswhich it arrives


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Technological DomainsTechnological Domains

Intelligent agents, mobile or notIntelligent agents, mobile or not Rule based systemsRule based systems Machine learningMachine learning Ontology buildingOntology building

– See related proposal “See related proposal “An ontology for planning An ontology for planning applicationsapplications” by Peter Demeester” by Peter Demeester

Data miningData mining

Non-holistic Agents A project idea Patrick De Causmaecker.

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