OBJECTIVE The aim of the current study was to examine the joint effect of self-efficacy, action planning, and received social support on fruit and vegetable intake. DESIGN The study used a longitudinal design with 3 waves of data collection. SETTING Major university campus in Beijing, China. PARTICIPANTS Young adults (n = 286). VARIABLES MEASURED Age, gender, body mass index, dietary se...

Background Intersectoral action is often presented as essential in the promotion of population health and health equity. In Norway, national public health policies are based on the Health in All Policies (HiAP) approach that promotes whole-of-government responsibility. As part of the promotion of this intersectoral responsibility, p...

We present a formal framework where a nonmonotonic formalism (the action description language C+) is used to provide robots with high-level reasoning, such as planning, in the style of cognitive robotics. In particular, we introduce a novel method that bridges the high-level discrete action planning and the lowlevel continuous behavior by trajectory planning. We show the applicability of this f...

Recent studies have highlighted cognitive and neural similarities between planning and perceiving actions. Given that action planning involves a simulation of potential action plans that depends on the actor's body posture, we reasoned that perceiving actions may also be influenced by one's body posture. Here, we test whether and how this influence occurs by measuring behavioral and cerebral (f...

When minimizing makespan during off-line planning, the fastest action sequence to reach a particular state is, by definition, preferred. When trying to reach a goal quickly in on-line planning, previous work has inherited that assumption: the faster of two paths that both reach the same state is usually considered to dominate the slower one. In this short paper, we point out that, when planning...

Hierarchical task network and action-based planning approaches have traditionally been studied separately. In many domains, human expertise in the form of hierarchical reduction schemas exists, but is incomplete. In such domains, hybrid approaches that use both HTN and action-based planning techniques are needed. In this paper, we extend our previous work on refinement planning to include hiera...