WP 5400 [UDE]

Formalization of the behavioral pattern of the captain

In this working package, the formal description and mapping of the captain’s activities with regard to recognition, planning, decision-making and action control tasks will be carried out. The recorded contexts/descriptions are transferred into suitable description forms, which allow both the determination of an action space (simulation) and the analysis of the action space for the next action steps situationally.

Situation operator modeling (SOM) [1,2] serves as the foundation, which can form the basis for autonomous/highly automated behavior as well as assistance systems [3,4].

The comparison of the learned/experienced contexts with sets of rules and experts is central to the determination of the behavioral model used to generate the reference behavior. Through such a “transcriptive” formalization, the basis for the creation of a database-like algorithm is created, which allows automated action planning and can evaluate the plausibility of action sequences (model-based).

 

[1] Söffker, D.: Interaction of Intelligent and Autonomous Systems – Part I: Qualitative Structuring of Interactions. MCMDS-Mathematical and Computer Modelling of Dynamical Systems, Vol. 14. No. 4, 2008, pp. 303-318.

[2] Söffker, D.: From human-machine-interaction modeling to new concepts constructing autonomous systems: a phenomenological engineering-oriented approach. Journal of Intelligent and Robotic Systems, Vol. 32, Issue 2, 2001, pp. 191-205.

[3] Söffker, D.: Understanding MMI from a system-theoretic view – Part I: Formalization MMI introducing modified situation-operator concept. Proc. 9th IFAC, IFIP, IFORS,IEA Symposium Analysis, Design, and Evaluation of Human-Machine Systems, Atlanta, Georgia, USA, September 7-9, 2004.

[4] Söffker, D.: Understanding MMI from a system-theoretic view – Part II: Concepts for supervision of Human and Machine. Proc. 9th IFAC, IFIP, IFORS,IEA Symposium Analysis, Design, and Evaluation of Human-Machine Systems, Atlanta, Georgia, USA, September 7-9, 2004.

Work packages

WP 3200 [arg]

Hardware equipment (sensors, actuators, communication)

WP 8200 [BAW]

Trajectories from AIS data

WP 10200 [UDE]

Evaluation man-control station control station