Dynamic Matchmaking between Messages and Services in Multi-Agent Systems Muhammed Al-Muhammed Supported in part by NSF.

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Presentation transcript:

Dynamic Matchmaking between Messages and Services in Multi-Agent Systems Muhammed Al-Muhammed Supported in part by NSF

Motivation Agents cooperate to achieve their goals. Current assumptions: 1- Agents share ontologies, 2- speak the same language, 3- pre-agree on a message format. Cooperation needs communication.

The Problem Requiring these assumptions precludes agents from interoperating on the fly. ” the holy grail of semantic integration in architectures ” is to “ allow two agents to generate needed mappings between them on the fly without a priori agreement and without them having built-in knowledge of any common ontology.” [Uschold 02] sees this as the heart of agent research:

Solution So the problem was: 1- Agents must share ontologies, 2- speak the same language, 3- pre-agree on a message format. – Filtering out unneeded information Eliminates all assumptions Requires: – Dynamically capturing a message’s semantics – Translating – Matchmaking – Converting units and data formats

Agent1 LO1 Services Agent2 LO2 Services Global Ont. Translations (MMS ) Communication MatchMaking System Matchmaking System

Local OntologyGlobal ontology WordSellingValueWordPrice Syn.PriceSyn.Value, SellingValue TypeIntegerTypeReal Values $100ValuesPrice value recognizer DomainComputerDomainComputer Rel.SellingValue ISFOR Mem. Rel.Price ISFOR Mem. ?

Agent1 LO1 Services Agent2 LO2 Services Global Ont. Translations MMS I need info about PCs Input:LowPrice=SYP1 0,HighPrice=SYP 20 Output: String Make, String Model,int Price Constraint:None Communication Service in Frame =? MMS Global Ont. Translations S1 S2. Si. Sn Message in Frame

The ServiceThe Message ServiceName GivePcInformationServiceNameNone ActionTypeNoneActionTypeNone ServiceTypeQueryServiceTypeQuery InputReal LowPrice, Real HighPrice Inputinteger HighPrice=SYP 20 Integer LowPrice=SYP 10 OutputString Model, Real Price, String Make, warranty date OutputString Make String Model, Integer Price, String Make InConstraints LowPrice> 0 USD LowPrice < HighPrice InConstraintsNone OutConstraintsOutput sorted(Price)OutConstraintsNone Different typeDifferent order Unneeded information Different currency Constraint mismatch

Agent1 LO1 Services Agent2 LO2 Services Global Ont. Translations MMS Communication Message in Frame Service in Frame = No MMS Global Ont. Translations S1 S2. Si. Sn I need info about PCs Input:.. Output:.Make.. Constraint:.. =Yes Si =No

Agent1 LO1 Services Agent2 LO2 Services Global Ont. MMS Communication MMS Translations Global Ont. Price=1USD Make=ibm ………. Translations I need info about PCs Input:.. Output: Make.. Constraint:..

Contributions Dynamically generates mappings among agents Simplifies agent communication Simplifies a developer’s task Increases message answering capabilities