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Conflicts Management in Retail Systems with Self-Regulation

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Computational Intelligence and Decision Making

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 61))

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Abstract

Self-Regulation and retail problem solving using Multi-Agent Systems are considered two promising areas but relatively little explored. The regulation in these environments must be able to handle with the implicit dynamism and variation in a complex area such as retail systems with a minimum human interference. Agents must be able to change their behaviour based on rules previously formatted, using an autonomic process that does the maintenance of a knowledge base which is well defined and consistent, to be possible to meet all the objectives and to provide support on the need of change.

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Acknowledgments

This work is supported by FEDER Funds through the “Programa Operacional Factores de Competitividade – COMPETE” program and by National Funds through FCT “Fundação para a Ciência e a Tecnologia” under the project: FCOMP-01-0124-FEDER-PEst-OE/EEI/UI0760/2011.

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Correspondence to Bruno Magalhães .

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Magalhães, B., Madureira, A. (2013). Conflicts Management in Retail Systems with Self-Regulation. In: Madureira, A., Reis, C., Marques, V. (eds) Computational Intelligence and Decision Making. Intelligent Systems, Control and Automation: Science and Engineering, vol 61. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4722-7_39

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  • DOI: https://doi.org/10.1007/978-94-007-4722-7_39

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