Motion planning has been used to solve problems of high complexity in both robotic and biological domains. In robotics, the topology of the planning environment often drives the problem’s complexity. Environments can consist of many different regions each of which may be well suited to a specific planning approach. In biological domains, problem complexity is primarily driven by the size of the...

This paper is about an approach to the flexible utilization of old plans called adaptive planning. An adaptive planner can take advantage of the details associated with specific plans, while still maintaining the flexibility of a planner that works from general plans. Key elements in the theory of adaptive planning are its treatment of background knowledge and the introduction of a notion of pl...

This paper discusses a novel a two-level \totally mobile" wireless communications architecture which is motivated by the need for low cost rapidly deployable communication structures. The system's capabilities for intelligent survivability and adaptive connectivity in a highly dynamic mobile environment are discussed. We design and evaluate algorithms for base station movement as well as for te...

Adaptive management planning projects use multiparty, multidisciplinary workshops and simulation modeling to facilitate dialogue, negotiation, and planning. However, they have been criticized as a poor medium for conflict resolution. Alternative processes from the conflict resolution tradition, e.g., principled negotiation and sequenced negotiation, address uncertainty and biophysical constrain...

In the elder care domain, a very strong requirement is the meticulous documentation of all treatment activities for every patient. This legally binding obligation turns out to be very tiring for the nurses, takes away time that they could spend with their patients, and is errorprone as the documentation is typically done at the end of the work-day. To solve this problem we proposed the introduc...

We present a new adaptive connectionist planning method. By interaction with an environment a world model is progressively constructed using the backpropagation learning algorithm. The planner constructs a look-ahead plan by iteratively using this model to predict future reinforcements. Future reinforcement is maximized to derive suboptimal plans, thus determining good actions directly from the...

Modern systems, such as robots or virtual agents, need to be able to plan their actions in increasingly more complex and larger state-spaces, incorporating many degrees of freedom. However, these high-dimensional planning problems often have low-dimensional representations that describe the problem well throughout most of the state-space. For example, planning for manipulation can be represente...

objective: the purpose of this study was to investigate the relationship of psychological wellbeing with variables of mindfulness and emotion regulation strategies, and then to identify which one predicts better psychological well-being. methods: we used a descriptive-analytical design for this study. a total of 243 students from 3 tehran universities were selected using the convenience samplin...

Airport Strategic Planning (ASP) focuses on the development of plans for the long-term development of an airport. The dominant approach for ASP is Airport Master Planning (AMP). The goal of AMP is to provide a detailed blueprint for how the airport should look in the future, and how it can get there. Since a Master Plan is a static detailed blueprint based on specific assumptions about the futu...

This paper describes a learning system for the automatic configuration of domain independent planning systems, based on measurable features of planning problems. The purpose of the Lazy Adaptive Multicriteria Planning (LAMP) system is to configure a planner in an optimal way, concerning two quality metrics (i.e. execution speed and plan quality), for a given problem according to user-specified ...