In the real world, there are some domain knowledge discovery problems that can be formulated into knowledge-based planning problems, such as chemical reaction process and biological pathway discovery problems (Khan et al. 2003). A view of these domain problems can be re-cast as a planning problem, such that initial and final states are known and processes can be captured as abstract operators t...

Realistic and complex planning situations require a mixed-initiative planning framework in which human and automated planners interact to mutually construct a desired plan. Ideally, this joint cooperation has the potential of achieving better plans than either the human or the machine can create alone. Human planners often take a case-based approach to planning, relying on their past experience...

One subclass of human computation applications are those directed at tasks that involve planning (e.g. tour planning) and scheduling (e.g. conference scheduling). Interestingly, work on these systems shows that even primitive forms of automated oversight on the human contributors helps in significantly improving the effectiveness of the humans/crowd. In this paper, we argue that the automated o...

Planning in AI has been an active research topic for more than thirty years but only recently has it started to move in the direction of combining planning and execution to achieve what is sometimes called as`In-telligent Reactive Planning'. We propose simulation-based planning as a new way to perform intelligent re-active planning. Simulation-based planning |unlike most other planning systems|...

This paper presents a study on the transfer of learned control knowledge between two different planning techniques. We automatically learn heuristics (usually, in planning, heuristics are also named control knowledge) from one planner search process and apply them to a different planner. The goal is to improve this second planner efficiency solving new problems, i.e. to reduce computer resource...

The use and study of compact representations of objects is widespread in computer science. AI planning can be viewed as the problem of finding a path in a graph that is implicitly described by a compact representation in a planning language. However, compact representations of the path itself (the plan) have not received much attention in the literature. Although both macro plans and reactive p...

This paper introduces the autonomous vehicle Pharos, which participated in the 2010 Autonomous Vehicle Competition organized by Hyundai-Kia motors. Pharos was developed for high-speed on/off-road unmanned driving avoiding diverse patterns of obstacles. For the high speed traveling up to 60 Km/h, long range terrain perception, real-time path planning and high speed vehicle motion control algorit...

In the past, the demand for modular, distributed and dynamic computer systems has increased rapidly. In the field of multi-agent systems (MAS) many of the current approaches try to account for these requirements. In this paper we discuss the shortcomings of the semantic service selection component SeMa2, propose improvements and describe an integration concept into a multiagent framework. Furth...

strategic planning defines the formal decision of a company for its future. like all organizations, health care sectors need to prepare their strategic planning and act according to it. unesco chair in health edu­cation as a leader health sector, describes the course and steps for preparing its strategic planning based on swot analysis technique.

in this paper we introduce an improvement in the path planning algorithm for the humanoid soccer playing robot which uses ferguson splines and pso (particle swarm optimization). the objective of the algorithm is to find a path through other playing robots to the ball, which should be as short as possible and also safe enough. ferguson splines create preliminary paths using random generated para...