An effect that changes over time as two or more agents interact. Agents perceive change as continuous although it acts discretely; for example, eye saccades and blinks in humans mostly occur too quickly to disrupt the awareness of interaction continuity. Dynamic interdependence affects uncertainty in two bi-sided factors (i.e., in an organization, plans, and execution; or resources and time), causing a loss of information when any one factor is measured; for example, when Agent-1 is asked to self-report on its status, it shifts to a self-observation mode, losing action information.
Published in Chapter:
Galois Lattice Quantum Model for NVOs
W. F. Lawless (Paine College, USA), Laurent Chaudron (ONERA-CERT, France), and C. P. Abubucker (Paine College, USA)
Copyright: © 2008
|Pages: 6
DOI: 10.4018/978-1-59904-885-7.ch083
Abstract
A major reason for the failure of rational models (cognitive science, game theory) of organizations is the use of static concepts of interdependence to predict dynamic behavior. In contrast, a quantum model of organizations transforms the traditional model into a model of dynamic interdependence of uncertainty. In this study, we explore Galois lattices as a potential quantum model of networked and virtual organizations (NVOs) based on field and laboratory data.