A multi-agent design for sense and respond logistics simulation
by Martin C. Lundell, Dianxiang Xu, Denver Tolliver, Kendall E. Nygard
World Review of Intermodal Transportation Research (WRITR), Vol. 1, No. 4, 2007

Abstract: Sense and Respond Logistics (SARL) is a highly flexible, agile, and adaptive methodology for managing logistics resources in a network-centric and information rich environment. Designing and developing the software for simulating a system with such complexity presents challenges that stem from the role of heterogeneous communication channels and decision choices that produce non-deterministic outcomes. We describe the use of multi-agent approaches for simulating SARL applications. We also argue for the use of formal methods and aspect-oriented techniques in the design of these simulations, to assist in supporting model validation and verification. Features of an aspect-oriented, multi-agent, architectural description languages are also presented as a mechanism for reasoning about cross-cutting concerns.

Online publication date: Tue, 12-Feb-2008

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