Decision making is an everyday activity. Decision-making involves gathering, interpreting and assessing information, formulating and judging alternatives and choosing a course of action that will fulfil a certain objective as closely as possible. Of course, decision-making is not solely an individual activity, but also occurs at group level. Collaborative Decision Making (CDM) is about multiple parties working together as a team, about distributing tasks, reconciling conflicting goals, sharing resources and negotiating behaviours between parties.

The CDM research cluster has three main research areas:

• decision making and collaboration between artificial actors, such as software agents and robots,
• collaborations between humans and artificial actors, and
• the conceptual Principles of CDM.

The research on hybrid CDM uses contributions from the fields of cognitive science and cognitive system engineering, organizational design, and task analysis, whereas Synthetic CDM is fuelled by advances in AI such as on multi-agent design, knowledge engineering and adaptive, self-learning techniques. Principles of CDM uses input from formal logics, economic theories and probabilistic reasoning methods.

For more information about CDM research, we refer to the CDM projects and publications.