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Formal aspects of classifying and selecting business services
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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 table of contents
Budapest, Hungary
SESSION: Interactions table of contents
Pages: 1247-1248  
Year of Publication: 2009
ISBN:978-0-9817381-7-8
Authors
Yathiraj B. Udupi  Cisco Systems Inc., San Jose, CA
Munindar P. Singh  North Carolina State University, Raleigh, NC
Sponsors
: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
: Wiley -- Blackwell Ltd
Publisher
Bibliometrics
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ABSTRACT

This paper uses the term "service" for a service instance, and the term "agent" for an agent who provides or consumes a service. We consider real-life or business services (e.g., business process out-sourcing, software development service involving human experts). We distinguish business from computational (e.g., Web or grid) services based on the fact that business services lack the typical input-output structure of computational services. For example, one can model a temperature service as one that takes a zipcode as input and produces the current temperature as output. By contrast, it would not help to model a software development service as one that takes a "business problem" as input and produces a suite of "software modules" as output. First, it is clearly beyond the scope of current practice to create formal classes or a type system of business problems and software modules. Second, business services are not invoked but are engaged, and would rarely take single-shot inputs and produce single-shot outputs. Third, business service providers would offer a continuum of expertise along which they can provide effective services. For example, a provider who is good at payroll management may also be able to provide retirement plan management, in contrast with the temperature service example above, which has no other function. Fourth, the selection of business services relies on the agents' evaluation of previous engagements.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
M. N. Huhns, U. Mukhopadhyay, L. M. Stephens, and R. D. Bonnell. DAI for document retrieval: The MINDS project. In M. N. Huhns, editor, Distributed Artificial Intelligence, pages 249--283. Pitman/Morgan Kaufmann, London, 1987.
 
2
C. A. Knoblock, Y. Arens, and C.-N. Hsu. Cooperating agents for information retrieval. In Proceedings of the 2nd International Conference on Cooperative Information Systems, pages 122--133, 1994.
 
3

Collaborative Colleagues:
Yathiraj B. Udupi: colleagues
Munindar P. Singh: colleagues