Automated planning - theory and practice

By Malik Ghallab, Dana S. Nau, Paolo Traverso. 2004

228 citations recorded by the source corpus.

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Citations in the corpus

Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “ use CHRs to explain behaviour, such as emotion or personality, I argue that CHRs are also valid explanations for non-anthropomorphic agents. For example, consider an example of an AI planning system [28] that has produced a plan consisting of a sequence of actions, and a question posed asking why s”
Automated Algorithm Selection: Survey and Perspectives (2018, methodology): “ates and actions are speciﬁed in an abstract way, using so-called predicates and operators that can be instantiated to yield speciﬁc properties of states and speciﬁc actions, respectively (see, e.g., Ghallab et al., 2004). For example, in a planning problem that involves moving goods using a ﬂeet of”
A review of generalized planning (2019, background): “Automated Planning (AP) can solve complex deliberative tasks in highly structured environments by exploiting models of the agents and their environment [32, 34].”
Deliberation for autonomous robots: A survey (2017, background): “Several books and survey papers review the state of the art for a few focused deliberation functions, e.g., planning [91], monitoring [169], goal reasoning [213], recognition of actions and plans [129], architectures [127], or human–aware navigation [130].”
Artificial intelligence in supply chain management: A systematic literature review (2021, unknown): “Automated planning is an AI technique that studies a deliberation process that chooses and organises actions by anticipating their expected outcomes computationally (Ghallab et al., 2004).”
Procedure Planning in Instructional Videos (2019, background): “bservation and the goal. We will ﬁrst discuss latent space planning and show how the same framework can also be applied to walkthrough planning. Procedure Planning. We use a standard forward planning [6] based on T(jx;a) and f() to achieve the goal. Given the current and the goal observations o t an”