Ryszard Kowalczyk – författare

These transactions publishresearch in computer-based methods of computational collective intelligence(CCI) and their applications in a wide range of fields such as the semanticWeb, social networks, and multi-agent systems. TCCI strives to cover newmethodological, theoretical and practical aspects of CCI understood as the formof intelligence that emerges from the collaboration and competition of manyindividuals (artificial and/or natural). The application of multiplecomputational intelligence technologies, such as fuzzy systems, evolutionarycomputation, neural systems, consensus theory, etc., aims to support human andother collective intelligence and to create new forms of CCI in natural and/orartificial systems. This twentieth issue contains 11 carefully selected andrevised contributions.

These transactions publishresearch in computer-based methods of computational collective intelligence(CCI) and their applications in a wide range of fields such as the semanticWeb, social networks, and multi-agent systems. TCCI strives to cover newmethodological, theoretical and practical aspects of CCI understood as the formof intelligence that emerges from the collaboration and competition of manyindividuals (artificial and/or natural). The application of multiplecomputational intelligence technologies, such as fuzzy systems, evolutionarycomputation, neural systems, consensus theory, etc., aims to support human andother collective intelligence and to create new forms of CCI in natural and/orartificial systems. This twentieth issue contains 11 carefully selected andrevised contributions.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-sixth issue is a special issue with selected papers from the First International KEYSTONE Conference 2015 (IKC 2015), part of the keystone COST Action IC1302.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-sixth issue is a special issue with selected papers from the First International KEYSTONE Conference 2015 (IKC 2015), part of the keystone COST Action IC1302.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-eight issue is a special issue with 11 selected papers from the International Conference on Agents and Artificial Intelligence, ICAART 2016 and 2017 editions.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-eight issue is a special issue with 11 selected papers from the International Conference on Agents and Artificial Intelligence, ICAART 2016 and 2017 editions.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-ninth issue is a regular issue with 10 selected papers.​

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-ninth issue is a regular issue with 10 selected papers.

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This book constitutes the thoroughly refereed post-proceedings of the three agent-related workshops held during the NetObjectDays international conference, NODe 2002, held in Erfurt, Germany, in October 2002.The 23 revised full papers presented with a keynote paper and 2 abstracts were carefully selected during 2 rounds of reviewing and improvement. The papers are organized in topical sections on agent-oriented requirements engineering and specification, agent-oriented software engineering, reuse, negotiation and communication, large complex systems, e-business, and applications.

This volume consists of the proceedings of the 1st International Conference on Grid Services Engineering and Management (GSEM 2004)that washeld in c- junction with the 5th International Conference Net.ObjectDays 2004 (NODE 2004) and the European Conference on Web Services 2004 (ECOWS 2004) in Erfurt, Germany on 27-30 September 2004. The Grid has emerged as a global platform to support on-demand virtual organizations for coordinated sharing of distributed data, applications and p- cesses. Service orientation of the Grid also makes it a promising platform for seamlessanddynamicdevelopment,integrationanddeploymentofservice-ori- ted applications. The application components can be discovered, composed and delivered within a Grid of services, which are loosely coupled to create dynamic business processes and agile applications spanning organizations and comp- ing platforms. The technologies contributing to such grids of services include Web services,the semantic Web, grid computing, component softwareand agent technologies.The GSEM 2004 conference provided an international forum for presenting thelatesttheoreticalandpracticalresultsintechnologysolutionsforengineering and management of Grid services and service-oriented applications. The conf- ence aimed at bringing together researchersand practitioners from diverse ?elds and interests, including Web services, the semantic Web, Grid infrastructures, software components, work?ows, agent technologies and service management, and those looking for new business and research cooperation opportunities in the area of Grid services and service-oriented applications.

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 ...80 DharmendraSharmaandNivleshChandra BOKS:ARule-BasedSysteminSupportoftheDutchBuilding MaterialsRegulations ...93 PieterSpronckandKlaasSchilstra UsingXMLasaLanguageInterfaceforAIApplications ...103 SaidTabet,PrabhakarBhogaraju,andDavidAsh INFOSHOP:ADecisionSupportToolforLocalGovernment RegulatoryAdvice ...111 IanWatson VIII TableofContents UsingBoostingtoDetectNoisyData...123 VirginiaWheway II Arti?cialIntelligenceinElectronicCommerce Arti?cialIntelligenceinElectronicCommerce...133 RyszardKowalczykandMariaLee ConceptualStructuresforTenderingOntology...135 AhmadKayedandRobertM. Colomb VirtualEnterpriseDesign-BDIAgentsvs. Objects ...147 IyadRahwan,RyszardKowalczyk,andYunYang AgentBasedArchitectureforInternetMarketing ...158 SukunesanSinnappan,Mary-AnneWilliams,andSivaMuthaly PossibilisticReasoningforIntelligentPaymentAgents ...170 OnWongandRaymondLau AWeb-BasedNegotiationAgentUsingCBR ...183 DongMeiZhangandWaiYatWong III IntelligentInformationAgents IntelligentInformationAgents...199 SengWaiLoke RelationshipsbetweenLogicProgrammingandRDF ...201 HaroldBoley AnApproachtoBuildingMobileIntelligentAgentsBasedon AnytimeMigration...219 NaokiFukuta,TakayukiIto,andToramatsuShintani Knowledge-BasedInformationAgents ...229 XiaoyingGaoandLeonSterling DesigningPerceptionModulestoShapeInformationforAgents...239 ClintHeinze,AdrianPearce,LeonSterling,andSimonGoss DesignofaVisulizationAgentforWWWInformation...249 HironoriHiraishi,HiroshiSawai,andFumioMizoguchi TableofContents IX RevisableAnalysisandDesignbyActorsInteraction: EmergencyCaseStudy ...259 HassenKriaaandGuyGouard'eres ALogic-BasedApproachforAdaptiveInformationFilteringAgents ...269 RaymondLau,ArthurH. M. terHofstede,andPeterD. Bruza TheUserAgent:AnApproachforServiceandPro?leManagement inWirelessAccessSystems...279 CarstenPilsandJensHartmann SystemAnalysisofAgent-BasedLCCInformationGathering...289 TiemeiIreneZhangandElizabethKendall IV TeamworkandAdjustableAutonomyinAgents TeamworkandAdjustableAutonomyinAgents...301 NancyE. Reed ACommunicationProtocolSupportingDynamicAutonomy AgreementsinMulti-agentSystems ...303 K. SuzanneBarber,CherylE. Martin,andRyanM. McKay DesigningHuman-CenteredAutonomousAgents...321 GregoryDoraisandDavidKortenkamp ACognitiveModelofSituatedAutonomy...325 HenryHexmoor DesigninganArchitectureforAdjustablyAutonomousRobotTeams ...

This book constitutes the refereed proceedings of the International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering, SOCASE 2007, held in Honolulu, HI, USA as an associated event of AAMAS 2007. The volume is rounded off with selected four best papers from the Service-Oriented Computing and Agent-based Engineering Workshop, SOCABE 2006, held at AAMAS 2006.

The globaltrendtowardsmore?exible anddynamic businessprocessintegration and automation has led to a convergence of interests between service-oriented computing, semantic technology, and intelligent multiagent systems. In parti- lar the areas of service-oriented computing and semantic technology o?er much interestto the multiagentsystemcommunity,including similaritiesin system- chitectures and provision processes, powerful tools, and the focus on issues such as quality of service, security, and reliability. Similarly, techniques developed in themultiagentsystemsandsemantictechnologypromisetohaveastrongimpact on the fast-growing service-oriented computing technology. Service-oriented computing has emerged as an established paradigm for d- tributed computing and e-business processing. It utilizes services as fundam- tal building blocks to enable the development of agile networks of collaborating business applications distributed within and across organizational boundaries.Services are self-contained, platform-independent software components that can be described, published, discovered, orchestrated, and deployed for the purpose of developing distributed applications across large heterogeneous networks such as the Internet. Multiagent systems are also aimed at the development of distributed - plications, however, from a di?erent but complementary perspective. Servi- oriented paradigmsaremainly focused on syntacticaland declarativede?nitions of software components, their interfaces, communication channels, and ca- bilities with the aim of creating interoperable and reliable infrastructures. In contrast, multiagent systems center on the development of reasoning and pl- ning capabilities of autonomous problem solvers that apply behavioral concepts such as interaction, collaboration, or negotiation in order to create ?exible and fault-tolerant distributed systems for dynamic and uncertain environments.

Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. Therefore, CCI is of great importance for today’s and future distributed systems. Methodological, theoretical and practical aspects of computational collective int- ligence, such as group decision making, collective action coordination, and knowledge integration, are considered as the form of intelligence that emerges from the collabo- tion and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , can support human and other collective intelligence and create new forms of CCI in natural and/or artificial s- tems.

Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. Therefore, CCI is of great importance for today’s and future distributed systems. Methodological, theoretical and practical aspects of computational collective int- ligence, such as group decision making, collective action coordination, and knowledge integration, are considered as the form of intelligence that emerges from the collabo- tion and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , can support human and other collective intelligence and create new forms of CCI in natural and/or artificial s- tems.

This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Service-Oriented Computing: Agents, Semantics and Engineering, SOCASE 2009, held in Budapest, Hungary, as an associated event of AAMAS 2009, the main international conference on autonomous agents and multi-agent systems. The 10 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers address a range of topics at the intersection of service-oriented computing, semantic technology, and intelligent multiagent systems, such as: service description and discovery; planning, composition and negotiation; semantic processes and service agents; as well as applications.

This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Service-Oriented Computing: Agents, Semantics and Engineering, SOCASE 2009, held in Budapest, Hungary, as an associated event of AAMAS 2009, the main international conference on autonomous agents and multi-agent systems. The 10 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers address a range of topics at the intersection of service-oriented computing, semantic technology, and intelligent multiagent systems, such as: service description and discovery; planning, composition and negotiation; semantic processes and service agents; as well as applications.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 15th issue contains extended and revised versions of the best papers presented at the International Conference on Practical Applications on Agents and Multi-Agent Systems (PAAMS 2012 and PAAMS 2013) held in Salamanca, Spain.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 16th issue contains 8 regular papers selected via peer-review process.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems.

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems.

Thesetransactions publish research in computer-based methods of computationalcollective intelligence (CCI) and their applications in a wide range of fieldssuch as the semantic Web, social networks, and multi-agent systems. TCCIstrives to cover new methodological, theoretical and practical aspects of CCIunderstood as the form of intelligence that emerges from the collaboration and competitionof many individuals (artificial and/or natural). The application of multiplecomputational intelligence technologies, such as fuzzy systems, evolutionarycomputation, neural systems, consensus theory, etc., aims to support human andother collective intelligence and to create new forms of CCI in natural and/orartificial systems. This nineteenth issue contains 11 carefully selected andrevised contributions.