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Interdependence and Vulnerability in Systems: A Review of Theory for Autonomous Human-Machine Teams

Lawless, W. F. ; Sofge, Donald A.

Engineering Artificially Intelligent Systems, 2021, Vol.13000, p.247-259 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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  • Título:
    Interdependence and Vulnerability in Systems: A Review of Theory for Autonomous Human-Machine Teams
  • Autor: Lawless, W. F. ; Sofge, Donald A.
  • Assuntos: Convergence ; Interdependence ; Vulnerability
  • É parte de: Engineering Artificially Intelligent Systems, 2021, Vol.13000, p.247-259
  • Descrição: Interdependence exists in all social interactions as constructive or destructive interference. States of interdependence transmit both positive (constructive) and negative (destructive) effects in the interaction. In this chapter, we review the theory of interdependence, and its effects when positive (e.g., innovations, marriages, mergers) or negative (e.g., patent failures, divorces, bankruptcies). We apply the theory to human-machine teams to predict the best and worst teams. And with the theory of interdependence, we review our newest discovery of vulnerability in an opposing team or in our own team. We consider vulnerability to be a fundamental principle of organization in preparation for a competition, during a competition, or in the post-hoc reviews of a competition between teams or organizations. One of the new issues for this chapter is to apply interdependence theory to whether or not convergence has a positive or negative effect in a competition, as with models for system dynamics. We conclude that if a model, concept or leader of a team addresses only a team’s convergence effects, the team will itself be left vulnerable to its opponent and ignorant of the vulnerabilities in its opponent.
  • Títulos relacionados: Lecture Notes in Computer Science
  • Editor: Switzerland: Springer International Publishing AG
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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