منابع مشابه
Goal Recognition Design with Stochastic Agent Action Outcomes
Goal Recognition Design (GRD) problems involve identifying the best ways to modify the underlying environment that the agents operate in, typically by making a subset of feasible actions infeasible, in such a way that agents are forced to reveal their goals as early as possible. Thus far, existing work assumes that the outcomes of the actions of the agents are deterministic, which might be unre...
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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 goals as early as possible. The Stochastic GRD (S-GRD) model is an important extension that introduced stochasticity to the outcome of agent actions....
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Goal recognition design involves the offline analysis of goal recognition models by formulating measures that assess the ability to perform goal recognition within a model and finding efficient ways to compute and optimize them. In this work we present goal recognition design for non-optimal agents, which extends previous work by accounting for agents that behave non-optimally either intentiona...
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Goal recognition design (GRD), presented here, is a new approach that facilitates early detection of the goals of acting agents by the offline analysis and redesign of goal recognition models. At a high level, a GRD problem is, given a model of a domain and a set of possible goals, to determine: (1) to what extent do actions, performed by an agent within the model, reveal the agent’s objective?...
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We describe PLAYGROUND, an interactive game developed for demonstrating the concepts of goal recognition design (grd). grd is a recently formulated task that involves the off-line analysis of goal recognition models. As such grd involves formulating measures that assess the ability to perform goal recognition within a model and finding efficient ways to compute and optimize them. PLAYGROUND is ...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33019904