NDLI: Simulation of a multi-agent protocol for task allocation in cooperative design

Content Provider	IEEE Xplore Digital Library
Author	Kwang Mong Sim Shiu, S.C.K. Bun, M.L.
Copyright Year	1999
Description	Author affiliation: Dept. of Comput., Hong Kong Polytech., Kowloon, Hong Kong (Kwang Mong Sim)
Abstract	To achieve high performance in agent-based cooperative design, the effective allocation of design agents to distributed and cooperative design tasks becomes a crucial issue. This research extends the well-known contract net protocol for decentralized task allocation in cooperative engineering design. Since the contract net protocol only provides a generic framework for agents to exchange and evaluate information, it does not prescribe any specific coordination policies for cooperative engineering design. By adding a set of agent selection and task selection policies, this research addresses issues in agent-based cooperative engineering design such as: How is an agent selected to carry out a design task? How can an agent select from among a list of design tasks which to bid for? Through a series of colored Petri-net simulation experiments, the performance of these selection policies are measured and evaluated. Smith (1980) noted that the contract net protocol is particularly suitable for executing different (sub-)tasks simultaneously while ensuring effective resource allocation and focused decision. Results from the coloured Petri-net simulations have shown that these properties are preserved in the proposed protocol.
Starting Page	95
Ending Page	100
File Size	558411
Page Count	6
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.823161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Contracts Design engineering Software tools Software design Software performance Computational modeling Resource management Large-scale systems Computer industry
Content Type	Text
Resource Type	Article

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