Many individuals are motivated to improve their physical activity levels, but often fail to act upon their intention. Interventions fostering volitional strategies, such as action planning, coping planning, and self-efficacy beliefs, can help to translate intentions into behavior. This study examines the effectiveness and the mechanisms of a combined planning and self-efficacy intervention to p...

Casting planning problems as propositional satlsfiability problems has recently been shown to be an effective way of scaling up plan synthesis. Until now, the benefits of this approach have only been utUized in primitive action-based planning models. Motivated by the conventional wisdom in the planning community about the effectiveness of hierarchical task network (HTN) planning models, in this...

This paper proposes a novel method of scheduling parallel execution of planning and action for a visionmotion planning problem. A planning process can be viewed as a process of gradually reducing the plan candidates towards the final commitment to one plan. Using criteria on deciding if an action sequence is consistent with the remaining plan candidates (consistency criterion), and on when to c...

This paper attempts to present how to use function symbols in action descriptions so that the planning algorithm only builds plans that are solutions to a planning problem. First, some coding tricks can be used so that action descriptions of the STRIPS framework can have their postconditions functionally dependent on the input situation. Since, in the STRIPS planning framework, a formula is tru...

This paper describes a prototype system for quickly developing joint military courses of action. The system, SOCAP (System for Operations Crisis Action Planning), combines a newly extended version of an AI planning system, SIPE{2 (System for Interactive Planning and Execution), with a color map display and applies this technology to military operations planning. This paper describes the Socap p...

This paper proposes an interactive search approach, termed INTERACT, which couples sampling-based motion planning with action planning in order to effectively solve the combined taskand motion-planning problem. INTERACT is geared toward scenarios involving a mobile robot operating in a fully-known environment consisting of static and movable objects. INTERACT makes it possible to specify a task...

In this paper we address the problem of planning with complex actions. We are motivated by the problem of automated Web service composition, in which planning must be performed using predefined complex actions or services as the building blocks of a plan. Planning with complex actions is also compelling in primitive action planning domains because it enables the exploitation of reusable subplan...