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pro vyhledávání: '"Christabel Wayllace"'
Autor:
Christabel Wayllace, William Yeoh
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:9953-9961
Goal Recognition Design (GRD) problems identify the minimum number of environmental modifications aiming to force an interacting agent to reveal its goal as early as possible. Researchers proposed several extensions to the original model, some of the
Autor:
Alvitta Ottley, Jiaming Hu, William Yeoh, Yuchen Han, Sunwoo Ha, Shayan Monadjemi, Christabel Wayllace
Publikováno v:
AAAI
We introduce Detection and Recognition of Airplane GOals with Navigational Visualization (DRAGON-V), a visualization system that uses probabilistic goal recognition to infer and display the most probable airport runway that a pilot is approaching. DR
Autor:
Aaron Paulos, Khoi D. Hoang, William Yeoh, Partha Pal, Richard E. Schantz, Christabel Wayllace, Alexander Wald, Soura Dasgupta, Ramesh K. Sitaraman, Jon Schewe, Yuanqiu Mo, Jacob Beal, Lyles J. Bryan
Publikováno v:
FAS*W@SASO/ICAC
Modern networking architectures are making it increasingly possible to disperse services not just across servers but into intermediate network devices as well. Here we introduce the Misson-oriented Adaptive Placement (MAP) architecture, which synthes
Autor:
Jacob Beal, William Yeoh, Aaron Paulos, Jon Schewe, Soura Dasgupta, Yuanqiu Mo, Christabel Wayllace, Khoi D. Hoang
Publikováno v:
PRIMA 2019: Principles and Practice of Multi-Agent Systems ISBN: 9783030337919
PRIMA
PRIMA
Edge computing is a paradigm for improving the performance of cloud computing systems by performing data processing at the edge of the network, closer to the users and sources of data. As data processing is traditionally done in large data centers, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bef4408179e42315605172b3c6ccfce
https://doi.org/10.1007/978-3-030-33792-6_5
https://doi.org/10.1007/978-3-030-33792-6_5
Autor:
Christabel Wayllace
Publikováno v:
AAAI
Given an environment and a set of allowed modifications, the task of goal recognition design (GRD) is to select a valid set of modifications that minimizes the maximal number of steps an agent can take before its goal is revealed to an observer. This
Publikováno v:
IJCAI
Goal Recognition Design (GRD) problems involve identifying the best ways to modify the underlying environment that agents operate in, typically by making a subset of feasible actions infeasible, in such a way that agents are forced to reveal their go