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Artificial Intelligence, Volume 299
Volume 299, October 2021
- Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Francesco Ricca:
Paracoherent answer set computation. 103519 - Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David P. Reichert, Pushmeet Kohli, Marek J. Sergot:
Making sense of raw input. 103521 - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan:
Commonsense visual sensemaking for autonomous driving - On generalised neurosymbolic online abduction integrating vision and semantics. 103522 - Sunandita Patra, James Mason, Malik Ghallab, Dana S. Nau, Paolo Traverso:
Deliberative acting, planning and learning with hierarchical operational models. 103523 - Daniele Mundici:
Deciding Koopman's qualitative probability. 103524 - Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz:
Levels of explainable artificial intelligence for human-aligned conversational explanations. 103525 - David Silver, Satinder Singh, Doina Precup, Richard S. Sutton:
Reward is enough. 103535 - Alessandro Artale, Roman Kontchakov, Alisa Kovtunova, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev:
First-order rewritability of ontology-mediated queries in linear temporal logic. 103536 - Jesús Giráldez-Cru, Jordi Levy:
Popularity-similarity random SAT formulas. 103537 - Yuan Luo, Nicholas R. Jennings:
A budget-limited mechanism for category-aware crowdsourcing of multiple-choice tasks. 103538 - Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang:
Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions. 103559
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