Results 11 to 20 of about 3,224,206 (282)

On Practical Reasoning and Automated Planning [PDF]

open access: yes, 2012
Practical reasoning and automated planning are strictly related as they strive to answer to the same question: “which is the best course of action for an agent?” While the first research field addressed this topic mainly from an epistemological point of ...
Vallati, Mauro, Cerutti, Federico
core   +3 more sources

Complementing Prostate SBRT VMAT With a Two-Beam Non-Coplanar IMRT Class Solution to Enhance Rectum and Bladder Sparing With Minimum Increase in Treatment Time

open access: yesFrontiers in Oncology, 2021
PurposeEnhance rectum and bladder sparing in prostate SBRT with minimum increase in treatment time by complementing dual-arc coplanar VMAT with a two-beam non-coplanar IMRT class solution (CS).MethodsFor twenty patients, an optimizer for automated multi ...
Abdul Wahab M. Sharfo   +5 more
doaj   +1 more source

Personalized Automation of Treatment Planning for Linac-Based Stereotactic Body Radiotherapy of Spine Cancer

open access: yesFrontiers in Oncology, 2022
Purpose/Objective(s)Stereotactic ablative body radiotherapy (SBRT) for vertebral metastases is a challenging treatment process. Planning automation has recently reported the potential to improve plan quality and increase planning efficiency. We performed
Savino Cilla   +12 more
doaj   +1 more source

Automating checks of plan check automation [PDF]

open access: yesJournal of Applied Clinical Medical Physics, 2014
While a few physicists have designed new plan check automation solutions for their clinics, fewer, if any, managed to adapt existing solutions. As complex and varied as the systems they check, these programs must gain the full confidence of those who would run them on countless patient plans.
Halabi, Tarek, Lu, Hsiao‐Ming
openaire   +2 more sources

Automated Knowledge Engineering Tools in Planning: State-of-the-art and Future Challenges [PDF]

open access: yes, 2014
Intelligent agents must have a model of the dynamics of the domain in which they act. Models can be encoded by human experts or, as required by autonomous systems, automatically acquired from observation.
Vallati, Mauro   +3 more
core   +3 more sources

Models of Intervention: Helping Agents and Human Users Avoid Undesirable Outcomes

open access: yesFrontiers in Artificial Intelligence, 2022
When working in an unfamiliar online environment, it can be helpful to have an observer that can intervene and guide a user toward a desirable outcome while avoiding undesirable outcomes or frustration.
Sachini Weerawardhana   +2 more
doaj   +1 more source

Comprehensive dosimetric and clinical evaluation of lexicographic optimization-based planning for cervical cancer

open access: yesFrontiers in Oncology, 2022
AimIn this study, a not yet commercially available fully-automated lexicographic optimization (LO) planning algorithm, called mCycle (Elekta AB, Stockholm, Sweden), was validated for cervical cancer.Material and methodsTwenty-four mono-institutional ...
Sara Trivellato   +19 more
doaj   +1 more source

Leveraging intelligent optimization for automated, cardiac-sparing accelerated partial breast treatment planning

open access: yesFrontiers in Oncology, 2023
BackgroundAccelerated partial breast irradiation (APBI) yields similar rates of recurrence and cosmetic outcomes as compared to whole breast radiation therapy (RT) when patients and treatment techniques are appropriately selected.
Joel A. Pogue   +7 more
doaj   +1 more source

Knowledge Reformulation and Deception as a Defense Against Automated Cyber Adversaries

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
Leveraging automated planning has been shown to be advantageous for automating network penetration testing, providing a foundation to generate intelligent approaches to attacking a target system.
Ron Alford   +3 more
doaj   +1 more source

HTN Learning via Transfer Learning of Domain Landmarks

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
Hierarchical Task Network (HTN) planning uses task-subtask relationships to break complex problems into more manageable subtasks, similar to how human problem-solvers plan.
Greg Pennisi   +6 more
doaj   +1 more source

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