Human-Machine Collective Intelligence Environment for Decision Support: Conceptual and Technological Design
2020
Author
Alexander Smirnov (SPIIRAS, Russia), Andrew Ponomarev (SPIIRAS, Russia)
Abstract
The paper describes a conceptual and technological design of a novel class of environments, providing means for leveraging collective intelligence of ad hoc human-machine teams for decision support. The paper describes theoretical background used for creating human-machine collective intelligence environment, principles guiding the design and foundational technologies. The core of the proposed environment is an ontology-based representation of the decision-relevant information that can be processed by both human and machine participants. The proposed environment can be used for decision-making support in a variety of domains characterized by high levels of uncertainty and dynamics (emergency, natural disaster, government and business scenarios).
DOI
10.23919/FRUCT49677.2020.9211077
Journal
Proceedings of the XXth Conference of Open Innovations Association FRUCT
Source
DOAJ