Modelling Distant Learning Activities by Agent Task Coalitions

Ermolayev, Vadim; Tolok, Vyachyslav

doi:10.1007/978-4-431-66979-1_31

Cited by 3 publications

(10 citation statements)

References 5 publications

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“…Agents' capabilities were: their knowledge of relevant Web sites providing human-oriented services and their ability to operate these services via Web interfaces. Agent roles were: As usual, in travel planning an A is capable of just invoking a T with 'BookRoundtrip' task, to formulate his or her constraints, preferences and needs for special arrangements, and to approve solutions proposed by the T. According to 'BookRoundtrip' description in terms of task ontology (Ermolayev et al, 2001) known both to A and T (but with different granularity), service inputs are 2 : The process starts with the arrangement (Ermolayev & Plaksin, 2002). A undertakes to hire one of the Ts as the contractor for the job.…”

Section: Travel Planning Scenariomentioning

confidence: 99%

“…Agent platforms and agentbased systems are already used for service brokerage (McIlraith et al, 2002), matchmaking (Sycara et al, 1999), and coordination (Papadopoulos, 2001). The remainder of this section will shortly present the formal approach to dynamic task decomposition and performance by coalitions of rational agents (Ermolayev et al, 2001;Ermolayev & Plaksin, 2002).…”

Section: Cooperative Dynamic Service Compositionmentioning

confidence: 99%

“…Personal opinion of the authors is that the list should be extended by the means for making services the subject of automated negotiation and trade. It is also important for future service enabled Web infrastructures to cope with business rules 1 , notions and mechanisms of reputation and trust with respect to services and service providing agents, dynamic character, flexibility, reconfigurability of partial plans (Ermolayev & Plaksin, 2002), workflows, and modeled business processes.…”

Section: Introductionmentioning

confidence: 99%

“…Next it is argued that it is a reasonable architectural solution to introduce an Agent Middle Layer (e.g., Sycara, et al (1999)) between services and service consumers. Negotiation on Web service allocation based on the authors' approach (Ermolayev & Plaksin, 2002) is proposed as the mechanism for dynamic composite service formation. DAML-S (DAML-S, 2003), our Task and Negotiation Ontologies (Ermolayev et al, 2001) are used for service dynamic composition and to facilitate inter-agent-operability.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Towards a Framework for Agent-Enabled Semantic Web Service Composition

Ermolayev

Keberle

Plaksin

et al. 2004

International Journal of Web Services Research

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Section: Travel Planning Scenariomentioning

confidence: 99%

Section: Cooperative Dynamic Service Compositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards a Framework for Agent-Enabled Semantic Web Service Composition

Ermolayev

Keberle

Plaksin

et al. 2004

International Journal of Web Services Research

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“…Moreover, a human will sometimes be better in arranging loosely formalized things that require intuition and context-dependent understanding with the complexity beyond the capacity of, say, first order logic based languages. However, the presented technique is applicable not only in case you plan your conference trip (Ermolayev et al, 2001;Ermolayev and Tolok, 2002). The similar approach of dynamic cascading composition of activities and tasks has been further developed in PSI for the modeling an simulation of dynamic engineering design processes (Ermolayev et al, 2005;Gorodetski et al, 2005) Let's project the above discussion to distributed information and document retrieval domain.…”

Section: Racing 15 Functionalities Agents and Servicesmentioning

confidence: 99%

Proactively Composing Web Services as Tasks by Semantic Web Agents

Ermolayev¹,

Keberle²,

Kononenko³

et al.

Modern Technologies in Web Services Research

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The chapter presents the framework for agent-enabled dynamic composition of Semantic Web Services. The approach and the framework have been developed in several research and development projects by ISRG and IOG. The core of the methodology is the new understanding of a Semantic Web Service as a capability of an intelligent software agent supplied with the proper ontological description. It is demonstrated how diverse Web Services may be composed and mediated by dynamic coalitions of software agents collaboratively performing tasks for service requestors. Middle Agent Layer is introduced to conduct the transformation of a WebSemantic Web Services are the emerging technology promising to become one of the future key enablers of the Semantic Web. There are strong prerequisites that, being self-described and selfcontained modular active components, Web services will appear to be the key elements in assembling intelligent software infrastructures in the near future.There is the emerging consensus that the ultimate challenge is to make Semantic Web Services automatically tradable and usable by artificial agents in their rational, proactive interoperation on the next generation of the Web. It may be solved by creating frameworks, standards, and software for automatic Web service discovery, execution, composition, interoperation and monitoring . Personal opinion of the authors is that the list should be extended by the means making services the subject of automated negotiation and trade. It is also important for future service enabled Semantic Web infrastructures to cope with business rules 3 , the notions and mechanisms of reputation and trust with respect to services and service providing agents, dynamic character, flexibility, reconfigurability of partial plans (Ermolayev and Plaksin, 2002), workflows, and modeled business processes.Current industry landscape provides only initial and very partial solutions to the ultimate problem. usage. This remark seems to be rational as far as we pay either the salary to the office manager or a fee to a travel agent, who make arrangements for us in a human-business environment.Moreover, it is not in the eye of the service requestor, but the agent performing 'BookRoundtrip' service will realize according to the service markup or the Partial Local Plan (PLP) in our terminology (Ermolayev et al., 2001;Ermolayev et al., 2005) that the requested process (OWL-S, 2003) or the task in our terminology (Ermolayev et al., 2001;Ermolayev et al., 2005) is composite and will require cooperation with at least air companies' service providing agents and hotel booking service providing agents. These independent actors will evidently also intend to increase their own utilities by requesting fees for their services.The chapter first provides the overview of the basic notions, approaches and architectural solutions with respect to agent paradigm, WWW and the Semantic Web, Semantic Web Services. Detailed discussion of the popular travel planning scenario helps to claim that fullscale Web Se...

show abstract

Proactively Composing Web Services as Tasks by Semantic Web Agents

Ermolayev

Keberle

Kononenko

et al.

Modern Technologies in Web Services Research

View full text Add to dashboard Cite

This chapter presents the framework for agent-enabled dynamic composition of Semantic Web services. The approach and the framework have been developed in several research and development projects by ISRG and IOG. The core of the methodology is the new understanding of a Semantic Web service as a capability of an intelligent software agent supplied with the proper ontological description. It is demonstrated how diverse Web services may be composed and mediated by dynamic coalitions of software agents collaboratively performing tasks for service requestors. Middle agent layer is introduced to conduct the transformation of a Web service request to the corresponding task, agent-enabled cooperative task decomposition and performance. Discussed are the formal means to arrange agents’ negotiation, to represent the semantic structure of task-activity-service hierarchy and to assess fellow-agents’ capabilities and credibility factors. It is argued that the presented technique is applicable to various application domains. Presented is the ongoing work on designing and implementing agent-based layered architecture for intelligent rational information and document retrieval. Finally, the discussion of the OntoServ.Net framework for the development of P2P mobile service infrastructures for industrial asset management provides the extension of the Web service composition approach.

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Modelling Distant Learning Activities by Agent Task Coalitions

Cited by 3 publications

References 5 publications

Towards a Framework for Agent-Enabled Semantic Web Service Composition

Towards a Framework for Agent-Enabled Semantic Web Service Composition

Proactively Composing Web Services as Tasks by Semantic Web Agents

Proactively Composing Web Services as Tasks by Semantic Web Agents

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