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AI and Simulation for Performance Assessment in Collaborative Business Ecosystems

Type de record:

papersoftware
Créateur:
GraCam
Éditeur:
FacUNILuiPed
Éditeur:
CCSDSpringer International Publishing
Hôte:avatar
Part 1: Collaborative Networks International audience Artificial Intelligence advances have enabled smarter systems, which in the business world, particularly in Collaborative Business Ecosystems, can lead to more streamlined, effective, and sustainable processes. Moreover, the use of well-defined performance indicators to assess the organisations' collaboration level can influence their behaviour, expecting to improve their performance and that of the ecosystem. This paper presents a case study using a simulation and agent-based model to represent the organisations' behaviour. True data gathered from three IT industry organisations running in the same business ecosystem allowed to shape the model with three classes of agents with different collaboration willingness levels. As such, some scenarios are simulated and discussed, considering a CBE populated with a given combination of organisations and a variation of the weighted adopted performance indicators.

Visit

inria.hal.science

Tags

Reinforcement learningAgent-based modellingSimulationPerformance indicatorsBusiness ecosystemCollaborative networks[INFO]Computer Science [cs]

Licenses

http://creativecommons.org/licenses/by/info:eu-repo/semantics/OpenAccess

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