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...

the aim of this study was to investigate the range utilization of rhode island red hens, grazing outdoor (under tropical conditions) and to scan their activities inside the house as well as during their outdoor visits. the activities of rir hens, raised in indoor floor pens connected with outdoor areas covered with natural vegetation, were scanned and recorded individually within 15 minute inte...

background: hadron therapy for malignant tumor is becoming increasingly popular. there are many factors which effect on implementation of a proper treatment planning. the purpose of this work is to investigate the inhomogeneity effects as affecting factor on proton range, full width at half maximum (fwhm) and 20% position of penumbra (p20) by mcnpx code. materials and methods: an inhomogeneous ...

Aggregate production planning (APP) involves the simultaneous determination of company’s production, inventory and employment levels which fall between the broad decisions of long range planning and detailed short range planning. A mathematical model is formulated to investigate the optimal decision on each planning period. The goal is to minimize the total relevant costs considering time varyi...

land use planning is a science that determines the type of land use through studying the ecological character of the land as well as its socio-economic structure. it is possible to plan for the appropriate use of the land and to enhance the present management of the land use by utilizing geographical information system (gis). to this end, our investigators identified and took steps toward devel...

This paper describes methodology, toolset and case studies of adaptive planning for supply chain networks based on the holistic approach, multi-agent technology and ontological modeling. The set of tools for the development of adaptive planners can be used for a wide range of applications. Case studies are included describing applications inr adaptive airport logistics, factory planning, laundr...

BACKGROUND The increase in relative biological effectiveness (RBE) of proton beams at the distal edge of the spread out Bragg peak (SOBP) is a well-known phenomenon that is difficult to quantify accurately in vivo. For purposes of treatment planning, disallowing the distal SOBP to fall within vulnerable tissues hampers sparing to the extent possible with proton beam therapy (PBT). We propose th...

To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilistic STRIPS-like planning operators from examples. We demonstrate the effective learning of rule-based operators for a wide range of traditional planning domains.

In traditional sales planning models, planning activities typically are based on a range of disjointed and nonstandard business processes. That fragmentation creates longer implementation cycle times, with resulting plans misaligned with real-time/unfolding market and regulatory dynamics. Targets are not precise, data is difficult to collect and distribute, and sales professionals are not as ef...

In this paper we describe an approach towards integrating mid-range sensing data into a dynamic path planning algorithm. The key problem, sensing for planning will be addressed in the context of outdoor navigation. An algorithmic approach is described towards solving these problems and both simulation results and initial experimental results for outdoor navigation using wide baseline stereo dat...