A planning technique for probabilistic domains is presented, inspired by cognitive perceptual processes. The plan evolves as a by-product of situation understanding using spreading activation for cooperative support-building, and an annealing process to kill off weak results. We have implemented the technique and compared its results with one of the top planning techniques for this type of prob...

The cooperative education program offered at the University of North Dakota is based on programs offered at other universities across the nation. Rewards of cooperative education programs are many, and they benefit students, universities, and sponsors alike. In addition to easing the costs of a university education, planning cooperative education experiences as part of the curriculum allows stu...

The Functionally-Accurate, Cooperative (FA/C) paradigm provides a model for task decomposition and agent interaction in a distributed problem-solving system. In this model, agents need not have all the necessary information locally to solve their subproblems, and agents interact through the asynchronous, co-routine exchange of partial results. This model leads to the possibility that agents may...

Multi-UAV cooperative path planning is a key technology to carry out multi-UAV tasks, and its research has important practical significance. A combination of single-UAV paths, so the idea problem decomposition effective deal with planning. With this analysis, algorithm based on co-evolution optimization was proposed in paper. Firstly, by analyzing meaning flight, model given. Secondly, we desig...

This paper proposes a novel mission planning platform, capable of efficiently deploying team UAVs to cover complex-shaped areas, in various remote sensing applications. Under the hood lies optimization scheme for grid-based methods, utilizing Simulated Annealing algorithm, that significantly increases achieved percentage coverage and improves qualitative features generated paths. Extensive simu...

Vehicle automation is used to increase traffic throughput and road safety. Automated vehicles should be highly versatile navigate on both highways urban roads. To do so, fully automated autonomous often adopt motion planners ensure collision-free comfortable trajectories. In contrast, in cooperative driving, feedback control achieve string-stable vehicle-following at very short inter-vehicle di...