CogSIMA 2013 - 2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2013)

These agents, both humans and machines, are faced with collaborative solving of various problems: (1) selecting which data is relevant to the objectives and actively requesting or searching for additional information, (2) integrating disparate data sources into a coherent information representation and a consistent model of the world, (3) inferring relations among various elements of the model, including prediction of the future states of the world, (4) assessing uncertainties associated with decisions, (5) learning new models and/or model elements, (6) valuating particular current and/or future states of the world according to some metrics, (7) identifying desirable states of the world, selecting actions that could lead to the desirable states. (8) communicating and interacting with other agents, and engaging into the process of collective situation awareness and decision-making.
While this process is complex, it is further complicated by the fact that each of the steps mentioned above depend on the situation. A specific item of information is relevant in one situation but is irrelevant in another. A given model of the world is adequate in one situation, but is not appropriate in another. A given set of logical conditions implies a given relation holds in a given situation, but not in another situation. A given state is desirable in one situation but is harmful in another. A given sequence of actions leads to a given state in one situation, but not in another.
The solution to the above-mentioned problems requires multi-disciplinary research that addresses at least the topics listed below.
Conference Scope
Studies of concepts of situation, context, event, goal, intention, action, activity, behavior in the context of hybrid human-computer systems
Theories of situational awareness in human-computer systems
Situation dependent data integration
Modeling of situations ? model acquisition, construction, adaptation and learning
Models of human-machine collaboration, hybrid cognition
Situation perception, comprehension, tracking, prediction and management
Collaborative decision support
Theories of relevance
Methods of planning actions to achieve desired situations
Approaches to spatial and temporal reasoning, reasoning about goals, intentions and actions, and collective reasoning by teams of human and/or machine agents
Advancement of situational control theory, including situational feedback, goal assessment and optimization, situational games with nature and adversaries, reflective situational control, and collective situational behavior
Metrics and evaluation of performance of hybrid human-computer systems
Applications, Case Studies, Systems, Platforms and Tools
Emergency situation management
Tactical operations
Semantic web systems
Communication, information, social and composite networks
Intelligent transportation systems
Medical and health care
Cyber security
Other applications
Important Dates
Paper submission November 4, 2012