Results 211 to 220 of about 143,746 (258)
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Tools for experiments in planning

Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94, 2002
The paper describes two separate but synergistic tools for running experiments on large Lisp systems such as artificial intelligence planning systems, by which we mean systems that produce plans and execute them in some kind of simulator. The first tool, called CLIP (Common Lisp Instrumentation Package), allows the researcher to define and run ...
Scott D. Anderson   +4 more
openaire   +1 more source

The ‘birth plan’ experience

BJOG: An International Journal of Obstetrics & Gynaecology, 1985
Summary. All antenatal patients booked for hospital confinement in Huddersfield have been offered a ‘birth plan’ on which to indicate their wishes regarding labour ward procedures. The first 100 plans have been analysed and the information supplemented by a questionnaire answered by the women in the puerperium.
C E, Ekeocha, P, Jackson
openaire   +2 more sources

The Dutch planning experience

Landscape and Urban Planning, 2002
The Netherlands is densely populated and highly urbanised. Growth management and spatial planning have a long-standing tradition. This article reveals driving forces and new trends in planning. The intricacies of the planning system are interpreted in an institutional and political framework.
openaire   +3 more sources

Experience Graphs: Leveraging Experience in Planning

2015
Motion planning is a central problem in robotics and is crucial to finding paths to navigate and manipulate safely and efficiently. Ideally, we want planners which find paths quickly and of good quality. Additionally, planners should generate predictable motions, which are safer when operating in the presence of humans.
openaire   +1 more source

Experiments in Answer Sets Planning

2000
The study of formal nonmonotonic reasoning has been motivated to a large degree by the need to solve the frame problem and other problems related to representing actions. New efficient implementations of nonmonotonic reasoning, such as SMODELS and DLV, can be used to solve many computational problems that involve actions, including plan generation ...
Marcello Balduccini   +4 more
openaire   +2 more sources

Experiments with planning and markets in multiagent systems

ACM SIGecom Exchanges, 2004
Mobile devices are hand-held devices used to deliver time sensitive and locale specific information to the users. Users of multi-user environments with limited resources can be enabled with agents running on mobile devices as assistants to improve their ability to plan activities in the space.
Naveenkumar Muguda   +2 more
openaire   +2 more sources

Planning the Experiment

1982
Most ideas work well on paper. When put to the test, though, many develop functional “diseases” which may or may not be curable. To reveal these shortcomings, the investigator turns to his most valuable proving tool — the controlled experiment.
openaire   +1 more source

Planning the Experiment

2016
A good Elispot experiment starts with a well-thought-through plan of execution. The quality of an experiment and its results are determined by the controls it includes. Here is a summary of important controls:
openaire   +1 more source

Planning for post‐pandemic cancer care delivery: Recovery or opportunity for redesign?

Ca-A Cancer Journal for Clinicians, 2021
Kathryn Gold, Hope Rugo, Pelin Cinar
exaly  

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