Advertisement

Evolutionary Computation and Artificial Intelligence for Business Transactions

  • Apostolos GotsiasEmail author
Chapter
Part of the Communications in Computer and Information Science book series (CCIS, volume 999)

Abstract

Business transactions are at the core of economic analysis as well as a prime area for research in Evolutionary Computation and for implementing scenarios in AI settings. The paper’s focus is on the issue of synchronizing activities and coordinating the agents of the firm in a supply-chain environment. After briefly discussing the general coordination model, the Hourglass model, we present a mathematical model for achieving coordination inside the firm and show how the agents’ activities are coordinated in a department, as well as across departments. The coordination model specifies the synchronization conditions by considering message travel times and product/support operational requirements. The conditions for achieving coordination and the relationships between operational and support departments are an original contribution in the economics of the firm. In the final part of the paper, we indicate how the coordination model’s results can be utilized in a dedicated AI environment for studying economic relations among firm/market participants.

Keywords

Coordination Synchronization Economic transactions 

References

  1. 1.
    Kunigami, M., Terano, T.: Experiments based management and administrative science: a manifesto. In: The 1st General Conference on Emerging Arts of Research on Management and Administration (GEAR), Tokyo (2012)Google Scholar
  2. 2.
    Gotsias, A.: Experiments based management science and organizations. In: The 1st General Conference on Emerging Arts of Research on Management and Administration (GEAR), Tokyo (2012)Google Scholar
  3. 3.
    Gotsias, A.: A treatise on exchange coordination. Working Paper, University of the Aegean, Department of Business Administration, Chios, Greece (2015)Google Scholar
  4. 4.
    Ceapa, A.C.V.: Full physical derivation and meaning of Lorentz transformation (1999). https://arxiv.org/abs/physics/9911067v1. Accessed 7 July 2018
  5. 5.
    Ceapa, A.: Toward an exciting rebuilding of modern physics. In: Haranas, I. (ed.), p. 80 (2006). http://vixra.org/pdf/1004.0049v1.pdf. Accessed 7 July 2018
  6. 6.
    Hull, B.: A structure for supply-chain information flows and its application to the Alaskan crude oil supply chain. Logist. Inf. Manag. 15(1), 8–23 (2002)CrossRefGoogle Scholar
  7. 7.
    Krolikowski, R., Kopys, M., Jedruch, W.: Self-organization in multi-agent systems based on examples of modeling economic relationships between agents. Front. Robot. AI 3(41), 1–16 (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Business AdministrationUniversity of the AegeanChiosGreece
  2. 2.Regulatory Authority for EnergyAthensGreece

Personalised recommendations