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  1. (1 other version)Reasoning based on consolidated real world experience acquired by a humanoid robot.Maxime Petit, Grégoire Pointeau & Peter Ford Dominey - 2016 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 17 (2):248-278.
    The development of reasoning systems exploiting expert knowledge from interactions with humans is a non-trivial problem, particularly when considering how the information can be coded in the knowledge representation. For example, in human development, the acquisition of knowledge at one level requires the consolidation of knowledge from lower levels. How is the accumulated experience structured to allow the individual to apply knowledge to new situations, allowing reasoning and adaptation? We investigate how this can be done automatically by an iCub that (...)
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  • Deliberation for autonomous robots: A survey.Félix Ingrand & Malik Ghallab - 2017 - Artificial Intelligence 247 (C):10-44.
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  • Star-topology decoupled state space search.Daniel Gnad & Jörg Hoffmann - 2018 - Artificial Intelligence 257 (C):24-60.
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  • Red–black planning: A new systematic approach to partial delete relaxation.Carmel Domshlak, Jörg Hoffmann & Michael Katz - 2015 - Artificial Intelligence 221 (C):73-114.
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  • An Introduction to the Planning Domain Definition Language (PDDL): Book review. [REVIEW]Alfonso Emilio Gerevini - 2020 - Artificial Intelligence 280 (C):103221.
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  • Efficient symbolic search for cost-optimal planning.Álvaro Torralba, Vidal Alcázar, Peter Kissmann & Stefan Edelkamp - 2017 - Artificial Intelligence 242 (C):52-79.
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  • State space search nogood learning: Online refinement of critical-path dead-end detectors in planning.Marcel Steinmetz & Jörg Hoffmann - 2017 - Artificial Intelligence 245 (C):1-37.
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  • Domain-independent planning for services in uncertain and dynamic environments.Eirini Kaldeli, Alexander Lazovik & Marco Aiello - 2016 - Artificial Intelligence 236 (C):30-64.
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  • On the complexity of planning for agent teams and its implications for single agent planning.Ronen I. Brafman & Carmel Domshlak - 2013 - Artificial Intelligence 198 (C):52-71.
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  • Extracting mutual exclusion invariants from lifted temporal planning domains.Sara Bernardini, Fabio Fagnani & David E. Smith - 2018 - Artificial Intelligence 258 (C):1-65.
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