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A Memory-Based Decision-Making Model for Multilingual Alternatives: The Role of Memory, Emotion and Language

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Book cover Intelligent Systems and Applications (IntelliSys 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1037))

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Abstract

In the Day-to-day lives, the human brain is making a decision, constantly, every day about things, people and thoughts. Making a decision is considered as a higher function of the human information processing system, it is a complex mechanism strongly based on the concept of “Perception”, the perception on which human reasoning is based on. Our brains are analyzing every day an immense number of choices in order to make the best decision every-time, But what if we are facing a huge number of multilingual alternatives? Do we need to translate the whole choice set? Are perceptions, memory, and emotion participating in making such decisions? and how strong are their influences? This work provides several contributions in this context in order to uncover the role of memory, emotion and their antecedents in decision-making process based on multilingual alternatives, this study develops a holistic memory-based decision model to describe the multilingual decision-making process. The research is considered a novel as long as we will combine the power of both decision-making domain and that of management, taking the led from the neuroscience’s results in order to propose a new approach for the decision-making process emphasizing the specific case of making a decision based on multilingual alternatives.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Northwestern Polytechnical University, Xian, China

    Zineb Djouamai & Li Ying

Authors
  1. Zineb Djouamai
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  2. Li Ying
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Correspondence to Zineb Djouamai .

Editor information

Editors and Affiliations

  1. School of Computing, Computer Science Research Institute, Ulster University, Newtownabbey, UK

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

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Djouamai, Z., Ying, L. (2020). A Memory-Based Decision-Making Model for Multilingual Alternatives: The Role of Memory, Emotion and Language. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-29516-5_83

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