Agent cloning: An approach to agent mobility and resource allocation

Onn Shehory; Katia Sycara; Prasad Chalasani; Somesh Jha

doi:10.1109/35.689632

Agent cloning: An approach to agent mobility and resource allocation

Onn Shehory, Katia Sycara, Prasad Chalasani, Somesh Jha

School of Business Administration

Research output: Contribution to journal › Article › peer-review

53 Scopus citations

Abstract

Multi-agent systems are subject to performance bottlenecks in cases where agents cannot perform tasks by themselves due to insufficient resources. Solutions to such problems include passing tasks to others or agent migration to remote hosts. We propose agent cloning as a more comprehensive approach to the problem of local agent overloads. Agent cloning subsumes task transfer and agent mobility. According to our paradigm, agents may clone, pass tasks to others, die, or merge. We discuss the requirements of implementing a cloning mechanism and its benefits in a multi-agent system, and support our claims with simulation results.

Original language	English
Pages (from-to)	58-67
Number of pages	10
Journal	IEEE Communications Magazine
Volume	36
Issue number	7
DOIs	https://doi.org/10.1109/35.689632
State	Published - Jul 1998

Bibliographical note

Funding Information:
This material is based on worksupported in part by ARFA Grant #F33615-93-1-1330,O NR Grant #NOOO14-96-1222, and NSF Grant #IRI-9612131.

Funding

This material is based on worksupported in part by ARFA Grant #F33615-93-1-1330,O NR Grant #NOOO14-96-1222, and NSF Grant #IRI-9612131.

Funders	Funder number
ARFA	33615-93-1-1330, 14-96-1222
National Science Foundation	-9612131

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title = "Agent cloning: An approach to agent mobility and resource allocation",

abstract = "Multi-agent systems are subject to performance bottlenecks in cases where agents cannot perform tasks by themselves due to insufficient resources. Solutions to such problems include passing tasks to others or agent migration to remote hosts. We propose agent cloning as a more comprehensive approach to the problem of local agent overloads. Agent cloning subsumes task transfer and agent mobility. According to our paradigm, agents may clone, pass tasks to others, die, or merge. We discuss the requirements of implementing a cloning mechanism and its benefits in a multi-agent system, and support our claims with simulation results.",

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Agent cloning: An approach to agent mobility and resource allocation

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