Human-Machine Collective Intelligence Environment for Decision Support: Conceptual and Technological Design

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 decisionmaking support in a variety of domains characterized by high levels of uncertainty and dynamics (emergency, natural disaster, government and business scenarios).