Area editor: Susanne Biundo, University of Ulm, Germany
Area editorial committee
Definition of the areaWork in the area of AI Planning and Scheduling ranges from formal and theoretical approaches to very practical and application-driven contributions and with that traditionally covers a variety of border regions of related fields.
For the ETAI, substantial papers are invited from the whole spectrum of AI Planning and Scheduling research. Topics of interest include, but are not restricted to: · classical AI planning · scheduling · planning and reasoning about action · deductive planning · temporal planning · case-based planning ·planning and complexity · plan recognition · planning and perception · planning and learning · robot planning · constraint reasoning in planning and scheduling · multi-agent planning · planning under uncertainty · decision-theoretic planning · resource management · knowledge acquisition and domain modeling for planning and scheduling · reactive planning · cognitive models and ontologies for planning and scheduling · planning and scheduling systems' user interfaces · applications.