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ThePaci?cRimInternationalConferenceonArti?cialIntelligence(PRICAI)is theleadingconferenceinthePaci?cRimregionforthepresentationofresearch andthelatestdevelopmentsinArti?cialIntelligence,includingtheapplication of AI to problems of social and economic importance. PRICAI 2000 was the sixthinthebiennialseriesofconferencesandwasheldinMelbourne,Australia, August28 September1,2000. ThePRICAI2000workshopsweredesignedtoprovideaforumforrese- chersandpractitionerstopresentandexchangethelatestdevelopmentsatthe AIfrontier. Workshopsaremorespecializedandonasmallerscalethancon- rencestofacilitateactiveinteractionamongtheattendees. TheyencourageAI theoriestomeetreality,AIresearcherstoworkwithpractitioners,andviceversa. Throughworkshops,bothsidesgetexposuretoevolvingresearchandtools,and tothepracticalproblemstowhichAIcanbeapplied. Asanexcellentindicator ofthecurrentlevelofactiveresearchanddevelopmentactivities,PRICAI2000 includedatotalofsevenworkshops:AIandtheInternet,IntelligentInfor- tionAgents,ApplicationsofAIinIndustry,Multi-AgentSystems,TextandWeb Mining,AIinE-Commerce,andTeamswithAdjustableAutonomy. The work from four of the seven workshops has formed this unique coll- tion of four parts. PartI reports on Applications of AI in Industry;PartII coversAIinE-Commerce;PartIII detailsIntelligentInformationAgents,and PartIV discussestheissuesofTeamworkandAdjustableAutonomyinAgents. Eachworkshoppaperwasacceptedafterreviewbyatleasttwoexperts. Further improvementswereincludedinmanypapersinpreparationforthiscollection. Readerscan?nddiversetopicsandcarefuldiscussionscenteredaroundthefour importantthemesinoureverchangingworld. Thiscollectionplaysanimp- tantroleinbridgingthegapbetweenAItheoryandpractice,toemphasizethe importanceofAIintheresearchanddevelopmentofAgents,E-Commerce,and inmanyreal-worldapplications,andtopublicizeandextendAItechnologyto manydomainsinthisfastmovinginformationage. Thechairsoftheworkshopsdidanexcellentjobinbringingtogethermany AIresearchersandpractitionersfromthePaci?c-Asiaregionandfromallover the world. The well received workshops at PRICAI 2000 and the publication ofthiscollectionhaveconvincinglyshownthesigni?canceandpracticalimpact oftheworkpresentedinthiscollection. ProfessorNancyReed sgreate?ortin producingthisspecial,?necollectionwillbeapplaudedandappreciatedbymany. IamcertainthatthiscollectionwillstimulatemoreAIresearchandapplications, in?uencemanygraduatestudentstoconductresearchanddevelopmentinAI, and have a positive impact toward making our future better by creating an increasinglyintelligentworld. June2001 HuanLiu TableofContents I ApplicationsofArti?cialIntelligenceinIndustry Arti?cialIntelligenceinIndustry. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 GrahamJ. WilliamsandDicksonLukose ApplyingBehavior-OrientedRoboticstoaMobileSecurityDevice . . . . . . . 5 AndreasBirkandHolgerKenn OntologyDesignandItsApplicationinthePetroleum RemediationDomain. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Lin-LiChenandChristineW. Chan ASalesAgentforWebsitePersonalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 WeiqinChen,RyanShaw,LeifMortenson,TomFoley, andRiichiroMizoguchi AnomalyDetectionofCopmuterUsageUsingArti?cial IntelligenceTechniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 JonghoChoyandSung-BaeCho ApplicationofSelf-OrganizingMapstoClassi?cationandBrowsing ofFAQE-mails. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 Hyun-DonKimandSung-BaeCho ModelBasedProgramSpeci?cationandProgramGeneration InaCase ofVehicle-EngineControlSystemDesign. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 SetsuoOhsuga,ShunsukeChigusa,andKatsuyukiSugaya Classi?cationBaseduponFrequentPatterns. . . . . . . . . . . . . . . . . . . . . . . . . . . 72 WimPijlsandRobPotharst AnEvolutionaryApproachtoConstraint-BasedTimetabling . . .
List of contents
Applications of Artificial Intelligence in Industry.- Artificial Intelligence in Industry.- Applying Behavior-Oriented Robotics to a Mobile Security Device.- Ontology Design and Its Application in the Petroleum Remediation Domain.- A Sales Agent for Website Personalization.- Anomaly Detection of Computer Usage Using Artificial Intelligence Techniques.- Application of Self-Organizing Maps to Classification and Browsing of FAQ E-mails.- Model Based Program Specification and Program Generation - In a Case of Vehicle-Engine Control System Design.- Classification Based upon Frequent Patterns.- An Evolutionary Approach to Constraint-Based Timetabling.- BOKS: A Rule-Based System in Support of the Dutch Building Materials Regulations.- Using XML as a Language Interface for AI Applications.- INFOSHOP: A Decision Support Tool for Local Government Regulatory Advice.- Using Boosting to Detect Noisy Data.- Artificial Intelligence in Electronic Commerce.- Artificial Intelligence in Electronic Commerce.- Conceptual Structures for Tendering Ontology.- Virtual Enterprise Design - BDI Agents vs. Objects.- Agent Based Architecture for Internet Marketing.- Possibilistic Reasoning for Intelligent Payment Agents.- A Web-Based Negotiation Agent Using CBR.- Intelligent Information Agents.- Intelligent Information Agents.- Relationships between Logic Programming and RDF.- An Approach to Building Mobile Intelligent Agents Based on Anytime Migration.- Knowledge-Based Information Agents.- Designing Perception Modules to Shape Information for Agents.- Design of a Visualization Agent for WWW Information.- Revisable Analysis and Design by Actors Interaction: Emergency Case Study.- A Logic-Based Approach for Adaptive Information Filtering Agents.- The User Agent: An Approach for Service and Profile Management in Wireless Access Systems.- System Analysis of Agent-Based LCC Information Gathering.- Teamwork and Adjustable Autonomy in Agents.- Teamwork and Adjustable Autonomy in Agents.- A Communication Protocol Supporting Dynamic Autonomy Agreements in Multi-agent Systems.- Designing Human-Centered Autonomous Agents.- A Cognitive Model of Situated Autonomy.- Designing an Architecture for Adjustably Autonomous Robot Teams.- Making Adjustable Autonomy Easier with Teamwork.- Dimensions of Adjustable Autonomy.
