Results 221 to 230 of about 72,882 (259)

Planning for Crowdsourcing Hierarchical Tasks

International Joint Conference on Autonomous Agents and Multiagent Systems, 2015
We show how machine vision, learning, and planning can be combined to solve hierarchical consensus tasks. Hierarchical consensus tasks seek correct answers to a hierarchy of subtasks, where branching depends on answers at preceding levels of the hierarchy.
Ece Kamar, Eric Horvitz
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Hierarchical planning‐based crowd formation

Computer Animation and Virtual Worlds, 2019
AbstractTeam formation with realistic crowd simulation behavior is a challenge in computer graphics, multiagent control, and social simulation. In this study, we propose a framework of crowd formation via hierarchical planning, which includes cooperative‐task, coordinated‐behavior, and action‐control planning.
Na Liu 0016, Xingce Wang, Shaolong Liu, Zhongke Wu, Jiale He, Peng Cheng 0008, Chunyan Miao, Nadia Magnenat-Thalmann   +7 more
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Trunk Implementation Plan for Hierarchical Networks

AT&T Bell Laboratories Technical Journal, 1984
Summary: The Trunk Implementation Plan (TIP) is a multiyear schedule of planned trunk augments and disconnects that minimizes the impact of varying demand and forecast uncertainties on the cost of implementing a network meeting objective service criteria.
Arik N. Kashper, George C. Varvaloucas
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Planning-Augmented Hierarchical Reinforcement Learning

IEEE Robotics and Automation Letters, 2021
Planning algorithms are powerful at solving long-horizon decision-making problems but require that environment dynamics are known. Model-free reinforcement learning has recently been merged with graph-based planning to increase the robustness of trained policies in state-space navigation problems.
Robert Gieselmann, Florian T. Pokorny
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Hierarchical Planning and the Supply Chain Planning Matrix

2011
In Section 2.1 we will introduce the principles of hierarchical planning the architecture of today’s APS. Rolling schedules follow in Section 2.2. In Section 2.3 an overview of the various planning tasks occurring in a supply chain is presented. These tasks can be structured and visualized in the Supply Chain Planning Matrix. Finally (Section 2.4), the
Stadtler, Hartmut, Fleischmann, Bernhard
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Hierarchical Planning

1997
Ever since the conception of Artificial Intelligence, hierarchical problem solving has been used as a method to reduce the computational cost of planning. The idea of hierarchical problem-solving, a well-accepted one, is to distinguish between goals and actions of different degrees of importance, and solve the most important problems first.
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Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning

Proceedings of the AAAI Conference on Artificial Intelligence, 2017
Heuristics serve as a powerful tool in modern domain-independent planning (DIP) systems by providing critical guidance during the search for high-quality solutions. However, they have not been broadly used with hierarchical planning techniques, which are more expressive and tend to scale better in complex domains by exploiting ...
Vikas Shivashankar, Ron Alford, David W. Aha   +2 more
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Planning with hierarchical structures

Proceedings of Third Australian and New Zealand Conference on Intelligent Information Systems. ANZIIS-95, 2002
The paper describes a case-based planning (CBP) system. The memory basically consists of a collection of structures of created plans. A structure captures a class of plans in a hierarchical fashion. In contrast with the existing CBP systems, the retrieving, modification, and storing mechanisms are distributed over plan operators.
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Hierarchical combinatorial planning of medical treatment

Computer Methods and Programs in Biomedicine, 2004
The paper addresses a problem of constructing a composite plan for a medical treatment on the basis of hierarchical morphological approach, multicriteria ranking, and morphological clique problem. The approach consists of the following phases: (a) hierarchical description of the medical plan; (b) generation of local alternative actions; (c ...
Mark Sh. Levin, Ludmila Sokolova
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HiPOP: Hierarchical Partial-Order Planning

2014
This paper describes a new planner, HiPOP (Hierarchical Partial-Order Planner), which is domain-configurable and uses POP techniques to create hierarchical time-flexible plans. HiPOP takes as inputs a description of a domain, a problem, and some optional user-defined search-control knowledge.
Patrick Bechon, Magali Barbier, Guillaume Infantes, Charles Lesire, Vincent Vidal 0001   +4 more
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