A Survey of Quantum Theory Inspired Approaches to Information Retrieval

Since 2004, researchers have been using the mathematical framework of Quantum Theory (QT) in Information Retrieval (IR). QT offers a generalized probability and logic framework. Such a framework has been shown capable of unifying the representation, ranking and user cognitive aspects of IR, and helpful in developing more dynamic, adaptive and context-aware IR systems. Although Quantum-inspired IR is still a growing area, a wide array of work in different aspects of IR has been done and produced promising results. This paper presents a survey of the research done in this area, aiming to show the landscape of the field and draw a road-map of future directions

COMPLEX ACTION METHODOLOGY FOR ENTERPRISE SYSTEMS (CAMES): AN EXPERIMENTAL ACTION RESEARCH INQUIRY INTO COMMUNICATIVE ACTION AND QUANTUM MECHANICS FOR ACTION RESEARCH FIELD STUDIES IN ORGANISATIONAL CONTEXT

Current action research methodologies bias observations severely and render quantification models of subjective data uncertain. Thus, this research thesis aims to design a scientifically rigorous action-science methodology process that establishes a subject-bias-free method for communication in an organisational context. This investigation aims to apply scientific rigour to this issue and to verify the general applicability of mathematical formalism of quantum mechanics to address organisational venture that includes a “wicked problem” (Stubbart, 1987, quoted in Pearson and Clair, 1998, p. 62) of how to communicate and collaborate appropriately. The subjective data collection and quantification models of this thesis build on the quantitative formalism of quantum mechanics and qualitative formalism of the theory of communicative action. Mathematical and ontological formalism combine into a novel research strategy with planned instrumentation for action research field studies summarised under the term ‘Complex Action Methodology for Enterprise Systems’ (CAMES). The outcome is a process to understand the behavioural action of organisational members. This process is not technical, and neither does it involve a machine or apparatus. The process is primarily mathematical and requires that participants act under a new identity, a virtual identity. Similarly, the data analysis does not require a specific machine, technology or an apparatus. A spreadsheet calculator will primarily be sufficient for low entry. Data collection occurs in one block with an average duration time of 10 minutes in a virtual location. The practice can, therefore, use this thesis’ procedures for bias-free quantification of subjective data and prediction of an individual’s future behaviour with certainty. Prediction of an individual’s future behaviour with certainty provides to the organizational practice what organisational practice lacks but urgently requires. The certainty that claimed findings of behaviour in organisational context requires to intervene and steer. Certainty and justification for planned intervening and steering initiatives secure funding