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.
The theme of the conference will be "Human and Machines Together", reflecting also McGill's values such as inclusion, trust and teaming while facing diversity (of information), desiring the transparency (of decisions) where each of the actors help manage complex situations: humans leveraging human intelligence to further advance (machine learning) algorithms (e.g. using human-in-the-loop) and computers providing decision aids by fast and intensive computations as well as providing their own computed decisions by algorithms/software systems.
The theme will cover theory and applications of cognitive situation awareness/management in many fields including air traffic control, military operations, transportation, power systems, law enforcement, emergency management, health care, space, education, mining, and oil and gas operations, driving among others, developments of advanced information displays, the design of automated decision support systems, information fusion algorithms, new training approaches for improving SA in individuals and teams and other aspects of interest for more informed decision making.
Topics of Interest
- Situation sensing, perception, comprehension, prediction and truth maintenance
- "Big Data" analysis, situation learning and 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
- (Team) decision making
- Models of collaboration and emergent behavior in cognitive multi-agent systems
- Situation assessment methodology & applications, e.g.,
- Situation recognition in autonomous vehicles
- Situation assessment by 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
- Ontology-based computing, context modeling and discovery
- Systems, platforms and tools for situation awareness, situation control and decision support
- System-level experiments and application-specific research
Past CogSIMA Conferences
Please find further information on activities from the CogSIMA community under www.cogsima.org.