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. Examples of systems include a variety of command and control systems, disaster monitoring and recovery systems, human-robot teams, physical and cyber security situation awareness systems, intelligent transportation systems, health care medical situation control systems, and many other systems. 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 and variable quality 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.
The 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.
Topics of Interest
- Cognitive and computational foundations of situation awareness, situation control, decision making, and belief management
- Metaphysical studies of concepts and modeling of situations, context, events, goals, intentions, actions, and, behavior
- Situation sensing, perception, comprehension, prediction and truth maintenance
- Big Data analysis, (multi-modal) situation learning (e.g., from text, images, video) and situation knowledge acquisition
- Social media processing for situation awareness
- Cognitive information fusion
- Integration of human and signal intelligence
- Multi-agent situation awareness, situation control and decision support
- Models of collaboration and emergent behavior in cognitive multi-agent systems
- Situation recognition in autonomous vehicles (e.g., UAVs, self-driving cars)
- Situation assessment in Reinforcement Learning
- Biologically-inspired computational models of situation management
- Approaches to spatial and temporal reasoning, reasoning about goals, intentions and actions
- Metrics and evaluation of performance of hybrid human-machine systems
- Models of human-machine collaboration, hybrid and distributed cognition, situation understanding of cognitive agents and virtual assistants
- Ontology-based computing
- Context modeling and discovery
- Systems, platforms and tools for situation awareness, situation control and decision support
- System-level experiments
- Application-specific research