new planning methodology for coping with this uncertainty caused by disruptions is presented. Planning steps described by their preconditions and their consequences are used for material requirements planning and scheduling. Preconditions of planning steps have to be satisfied in a certain state of environment for the planning steps to be applicable. Consequences of planning steps change the st...

Despite recent progress in AI planning, many benchmarks remain challenging for current planners. In many domains, the performance of a planner can greatly be improved by discovering and exploiting information about the domain structure that is not explicitly encoded in the initial PDDL formulation. In this paper we present and compare two automated methods that learn relevant information from p...

Nationwide, one rescue worker is lost for every two victims rescued in collapsed structure situations; following Sept. 11, 2001, this ratio fell to 1:1. Limited physical facilities are available for training rescue workers in collapsed structure rescue. Our idea is to develop a training game for teaching collapsed structure rescue skills to members of emergency response community. In order to p...

For reasonable application in critical domains dialogue systems not only have to pay attention to user knowledge and dialogue goals but they also have to adapt their dialogue behaviour to current limitations of the user's cognitive processing capabilities. In case of a help system the point of concern is on the one hand the aspect as to what kind of help is appropriate for the user (What to do?...

traditional approaches to AI planning. Planning and executing the resulting plans in a dynamic environment implies a continual approach in which planning and execution are interleaved, uncertainty in the current and projected world state is recognized and handled appropriately, and replanning can be performed when the situation changes or planned actions fail. Furthermore, complex planning and ...

Recent years has seen intense analysis and questioning of the importance of the role of classical AI-planning in deciding moment-to-moment actions. This has led to development of several new AI-planning paradigms such as reactive planning [Fir87, GL87]. Informally, a planning paradigm refers to principles ofrepresenting an agent's acts, beliefs and expectations about concepts-relatingacts-to-co...

this study examined the effects of aural and written prompts under two planning conditions (i.e. pre-task planning and no planning) on complexity, accuracy, and fluency of test takers' writing production. forty learners in an english institute, who had already been classified as intermediate according to the oxford placement test, were assigned to two planning conditions (i.e. no planning and p...

A new market based approach for transmission expansion planning in deregulated environments is presented in this paper. In this approach, transmission-planning decisions are made based on the electric power market conditions. The main contribution of this research is 1) Introducing a new probabilistic tool for analyzing the electric market conditions, 2) Defining new criteria for ranking transm...

Many software applications consist of a number of interdependent steps and are executed under the supervision of a human administrator or operator. The administrator responds to error conditions and checks to see that the dependencies between steps has been satisfied before allowing the application to continue. AI planning systems, because they have the capability of responding to a dynamically...