Automated multigravity assist trajectory planning with a modified ant colony algorithm [PDF]
, 2010 The paper presents an approach to transcribe a multigravity assist trajectory design problem into an integrated planning and scheduling problem. A modified Ant Colony Optimization (ACO) algorithm is then used to generate optimal plans corresponding to ...
Battin R. H. +10 more
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Acta oncologica, 2018 Background: For conventional radiotherapy treatment units, automated planning can significantly improve plan quality. For robotic radiosurgery, systems for automatic generation of clinically deliverable plans do not yet exist.
L. Rossi +5 more
semanticscholar +1 more source
A planning approach to the automated synthesis of template-based process models [PDF]
, 2017 The design-time specification of flexible processes can be time-consuming and error-prone, due to the high number of tasks involved and their context-dependent nature. Such processes frequently suffer from potential interference among their constituents,
Lesperance, Yves, Marrella, Andrea
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Compilation-Based Approaches to Parallel Planning: An Empirical Comparison
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Automated planning deals with finding a sequence of actions, a plan, to reach a goal. One of the possible approaches to automated planning is a compilation of a planning problem to a Boolean satisfiability problem or to a constraint satisfaction problem,
Kristýna Pantůčková, Roman Barták
doaj +1 more source
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective
IEEE Access, 2019 One contemporary policy to deal with traffic congestion is the design and implementation of forecasting methods that allow users to plan ahead of time and decision makers to improve traffic management.
Juan S. Angarita-Zapata +2 more
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Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning?
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceExplaining the sequential action choices of an autonomous agent is essential for understanding the agent and learning from the agent. Given a goal-reaching action sequence in a non-deterministic environment, one important aspect of explaining action ...
Yaofang Zhang, Adnan Darwiche
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Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme
, 2020 Behavior planning and decision-making are some of the biggest challenges for highly automated systems. A fully automated vehicle (AV) is confronted with numerous tactical and strategical choices.
Burger, Christoph +2 more
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Stability, Structure and Scale: Improvements in Multi-modal Vessel Extraction for SEEG Trajectory Planning [PDF]
, 2015 Purpose Brain vessels are among the most critical landmarks that need to be assessed for mitigating surgical risks in stereo-electroencephalography (SEEG) implantation. Intracranial haemorrhage is the most common complication associated with implantation,
Achhala, S +10 more
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PlanProjU: A BPMN-to-HDDL HTN Planning Approach for University Project Execution
ComputersThis study aims to automate the generation of execution plans for university projects by transforming BPMN-based process models into hierarchical planning representations that can be executed by HTN planners.
Jhon Wilder Sanchez-Obando +2 more
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If you are going to pay within the next 24 hours, press 1: automatic planning prompt reduces credit card delinquency [PDF]
, 2018 People often form intentions but fail to follow through on them. Mounting evidence suggests that such intention-action gaps can be narrowed with prompts to make concrete plans about when, where and how to act to achieve the intention.
Ariely, Dan, Mazar, Nina, Mochon, Daniel
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