IMPACT: The interactive Maryland platform for agents collaborating together

K Arisha; F Ozcan; R Ross; S Kraus; V. S Subrahmanian

IMPACT: The interactive Maryland platform for agents collaborating together

K Arisha, F Ozcan, R Ross, S Kraus, V. S Subrahmanian

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We describe a platform called IMPACT to support multiagent interactions. The platform provides a set of servers (yellow pages, thesaurus, registration, type, and interface) that facilitate agent interoperability in an application independent manner. In IMPACT agents have an associated set of service descriptions, specifying the services they provide. We develop an HTML-like language for such service descriptions. When an agent wishes to identify another agent that provides a service, the requested service must be matched, using a metric approach, against existing service descriptions. We provide a formal framework within which this may be done, and develop algorithms to compute the k nearest matches, as well as all matches within a given distance from the requested service. We report on experiments evaluating our algorithms with large data sets.

Original language	American English
Title of host publication	Multi Agent Systems, 1998. Proceedings. International Conference on
Publisher	IEEE
State	Published - 1998

Bibliographical note

Place of conference:France

Cite this

@inproceedings{9af8a61711da4725ab3d47054ee9fb1c,

title = "IMPACT: The interactive Maryland platform for agents collaborating together",

abstract = "We describe a platform called IMPACT to support multiagent interactions. The platform provides a set of servers (yellow pages, thesaurus, registration, type, and interface) that facilitate agent interoperability in an application independent manner. In IMPACT agents have an associated set of service descriptions, specifying the services they provide. We develop an HTML-like language for such service descriptions. When an agent wishes to identify another agent that provides a service, the requested service must be matched, using a metric approach, against existing service descriptions. We provide a formal framework within which this may be done, and develop algorithms to compute the k nearest matches, as well as all matches within a given distance from the requested service. We report on experiments evaluating our algorithms with large data sets.",

author = "K Arisha and F Ozcan and R Ross and S Kraus and Subrahmanian, {V. S}",

note = "Place of conference:France",

year = "1998",

language = "American English",

booktitle = "Multi Agent Systems, 1998. Proceedings. International Conference on",

publisher = "IEEE",

}

TY - GEN

T1 - IMPACT: The interactive Maryland platform for agents collaborating together

AU - Arisha, K

AU - Ozcan, F

AU - Ross, R

AU - Kraus, S

AU - Subrahmanian, V. S

N1 - Place of conference:France

PY - 1998

Y1 - 1998

N2 - We describe a platform called IMPACT to support multiagent interactions. The platform provides a set of servers (yellow pages, thesaurus, registration, type, and interface) that facilitate agent interoperability in an application independent manner. In IMPACT agents have an associated set of service descriptions, specifying the services they provide. We develop an HTML-like language for such service descriptions. When an agent wishes to identify another agent that provides a service, the requested service must be matched, using a metric approach, against existing service descriptions. We provide a formal framework within which this may be done, and develop algorithms to compute the k nearest matches, as well as all matches within a given distance from the requested service. We report on experiments evaluating our algorithms with large data sets.

AB - We describe a platform called IMPACT to support multiagent interactions. The platform provides a set of servers (yellow pages, thesaurus, registration, type, and interface) that facilitate agent interoperability in an application independent manner. In IMPACT agents have an associated set of service descriptions, specifying the services they provide. We develop an HTML-like language for such service descriptions. When an agent wishes to identify another agent that provides a service, the requested service must be matched, using a metric approach, against existing service descriptions. We provide a formal framework within which this may be done, and develop algorithms to compute the k nearest matches, as well as all matches within a given distance from the requested service. We report on experiments evaluating our algorithms with large data sets.

UR - https://scholar.google.co.il/scholar?q=+%09%09IMPACT%3A+Interactive+Maryland+Platform+for+Agents+Collaborating+Together&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - Multi Agent Systems, 1998. Proceedings. International Conference on

PB - IEEE

ER -

IMPACT: The interactive Maryland platform for agents collaborating together

Abstract

Bibliographical note

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Cite this