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CogSIMA 2017 : 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management | |||||||||||||||
Link: http://cogsima2017.ieee-cogsima.org | |||||||||||||||
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Call For Papers | |||||||||||||||
"What is Situation Management?"
Situation Management is a synergistic goal-directed process of situation awareness and control in dynamic systems so that desired goal situations are reached within predefined quality, resources and time. 1. Dynamic systems are understood as physical (kinetic), cyber (informational), human (social) systems, or system of systems involving the previous three categories of systems. 2. Situation awareness itself is a complex process of truth maintenance of past situations, detection of current situations and prediction of future situations. 3. Situation control loop, besides the processes of situation awareness, includes the processes of reasoning about situations, situation action planning, and action execution. 4. As a set of parallel processes in situation management, one can include the tasks of situation knowledge acquisitions and learning. 5. The conceptual foundation of Situation Management form the concepts of entities, relations, situations, events, actions, goals, behaviors, context, space, time, data, information, knowledge, etc. "Where Cognitive Science meets Computer Science" IEEE CogSIMA 2017 will provide a venue for presenting multidisciplinary research on complex heterogeneous systems of interacting humans, machines, computer agents and/or networks. Submissions should address cognitive and/or computational aspects of situation management, which is the synergistic goal-directed process of situation awareness and control in dynamic systems so that desired goal situations are reached within predefined quality, resources and time. Areas of possible interest include: - Big Data, Deep Learning, and Situation Awareness - Cognitive Modeling and Decision Support - Interaction with Autonomous Systems - and Others... IEEE 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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