2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)
This year we changed the official long name of CogSIMA from the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support. We are still the still the same conference, with the same goals and objectives that have been developed in the first 5 years of the workshop and the last 6 years of the conference. Out intention in changing the name was to better communicate those goals and objectives to the larger community.
“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.
- Dynamic systems are understood as physical (kinetic), cyber (informational), human (social) systems, or system of systems involving the previous three categories of systems.
- Situation awareness itself is a complex process of truth maintenance of past situations, detection of current situations and prediction of future situations.
- Situation control loop, besides the processes of situation awareness, includes the processes of reasoning about situations, situation action planning, and action execution.
- As a set of parallel processes in situation management, one can include the tasks of situation knowledge acquisitions and learning.
- 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”
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.
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.