Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
HyperIntelligence: the next frontier
Communications of the ACM
Subjective understanding in strategic decision making: an information systems perspective
Decision Support Systems
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
An exploratory cognitive DSS for strategic decision making
Decision Support Systems
Debiasing investors with decision support systems: An experimental investigation
Decision Support Systems
Cognition-Driven Decision Support for Business Intelligence: Models, Techniques, Systems and Applications
Hi-index | 0.00 |
Decision makers are subject to rely upon their biased mental models to solve ill-structured decision problems. While mental models prove to be very helpful in understanding and solving ill-structured problems, the inherent biases often lead to poor decision making. This study deals with the issue of biases by proposing Semantic De-biased Associations (SDA) model. SDA model assists user to make more informed decisions by providing de-biased, and validated domain knowledge. It employs techniques to mitigate biases from mental models; and incorporates semantics to automate the integration of mental models. The effectiveness of SDA model in solving ill-structured decision problems is illustrated in this paper through a case study.