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Authors
Affiliations
1 Lebanese University, Beirut, LB
2 Universite du Quebec a Chicoutimi, Quebec, CA
3 Lebanese University, DSST, Beirut, LB
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 5, No 3 (2013), Pagination: 35-44
Abstract
This paper stands for an analytical approach modelling and exploring an evolutionary-space oriented business-domains. The space that we consider is intended to be complex emerging a set of heterogeneous evolutionary business-agents (e.g. Factories, Restaurants, etc.); it accordingly stimulates an analytical multi-layered structure headed for a hyper-space navigational framework. Agents have multiple-states based on analytical characteristics (analytical dimensions), they are multidimensional and inter-dependable; they evolve, interact and transit. This approach aims to provide key features that illustrate the hyper-space framework basis and foundations. Finally, an instructive case study is given at the end of this document.
Keywords
Evolutionary Agents, Hyper-Space Modelling, Multi-State Modelling, GIS-Like Frameworks, Business Intelligence.
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