AI planning techniques are beginning to find use in a number of practical planning domains. However, the backward-chaining and partial-order-planning control strategies traditionally used in AI planning systems are not necessarily the best ones to use for practical planning problems. In this paper, we discuss some of the difficulties that can result from the use of backward chaining and partial...

Planning of everyday tasks was examined in 48 inpatients with schizophrenia and 26 healthy controls. Participants were administered the Naturalistic Action Test, which requires completion of three everyday tasks (e.g., make toast and coffee). Planning variables, including planning behaviours (e.g., gathering items before engaging in a subtask) and planning time (e.g., period between task instru...

Research on pre-task planning has revealed that planned conditions have produced more fluent and complex language than unplanned conditions. To date, most of these studies have investigated the effects of individual planning on language production while collaborative planning has received scant attention. To determine the effects of pre-task planning on second language written production, the p...

Research on distributed task planning model for multi-autonomous underwater vehicle (MAUV). A scroll time domain quantum artificial bee colony (STDQABC) optimization algorithm is proposed to solve the multi-AUV optimal task planning scheme. In the uncertain marine environment, the rolling time domain control technique is used to realize a numerical optimization in a narrowed time range. Rolling...