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CogSIMA 2016 : 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support


When Mar 21, 2016 - Mar 25, 2016
Where San Diego, USA
Submission Deadline Oct 23, 2015
Notification Due Nov 30, 2015
Final Version Due Jan 22, 2016
Categories    situation awareness   information fusion   decision support   artificial intelligence

Call For Papers

The CogSIMA conference series provides an annual venue for presenting multi-disciplinary research on complex heterogeneous dynamical systems – of interacting humans, machines, computer agents and/or networks – whose individual and/or collective behavior depends on their situation awareness.

Examples of systems include command and control systems, disaster monitoring and recovery systems, human-robot teams, physical and cyber security systems, intelligent transportation systems, as well as communication and social networks. Common to these systems is the need to adequately perceive, reflect, act, and communicate according to the current situation and expected changes – both in the environment and within the systems themselves. The amount of information that needs to be processed in order to derive decisions typically poses significant challenges for both human cognitive capabilities and computer processing power. Consequently, there is a need to develop novel situation awareness and decision support approaches for augmenting their capabilities of dealing with the following problems:

(1) Selecting relevant data and actively asking/searching for additional information
(2) Integrating disparate data into a consistent world model
(3) Inferring relations among elements of the situation, including prediction of future states
(4) Assessing uncertainties associated with data, information, predictions and decisions
(5) Making decisions to select the best actions to achieve goals and objectives
(6) Interacting with other agents to achieve shared situation awareness and improve decision-making

CogSIMA conferences are aimed at researchers and practitioners from academia, industry and government, with a wide variety of backgrounds and experience including computer science, human factors, cognitive science, modeling & simulation, robotics, and systems engineering.

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