Distributed artificial intelligence in GIS ‐ Geolet: A distributed geo‐spatial information retriever

Y. Wang · Chris Rizos · Linlin Ge · Matthew B. Dwyer

6 citations0/0 files storedJournal of Spatial Science

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Geographic Information Systems Studies Distributed and Parallel Computing Systems Multi-Agent Systems and Negotiation

Abstract

The advantages of ‘Distributed GIS’ have long been realised by GIS practitioners and researchers, for its strengths of system flexibility, reliability, scalability, processing efficiency and resources sharing. However, due to the complex network architecture and software structure, current distributed GIS (DGIS) still cannot fully accommodate distributed, heterogeneous and speedy development in dynamic computing environments. Hence, the development of a high performance DGIS system is still a challenging task. In this paper, an Agent‐based Distributed Artificial Intelligent GIS paradigm will be discussed and a Geolet‐based DGIS prototype system is provided.

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2013Socially Intelligent Agents: Creating Relationships With Computers And Robots 1995Sharing Geographic Information 1989The research plan of the National Center for Geographic Information and Analysis 1996Research Priorities for Geographic Information Science University Consortium for Geographic Information Science 2000A Distributed Geographic Information System on the Common Object Request Broker Architecture (CORBA)

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