资源分类
》 资源 》论文》Abstraction of Agents Executing Online and their Abilities in the Situation Calculus

Abstraction of Agents Executing Online and their Abilities in the Situation Calculus

2019-11-05 | |  63 |   48 |   0
Abstract We develop a general framework for abstracting online behavior of an agent that may acquire new knowledge during execution (e.g., by sensing), in the situation calculus and ConGolog. We assume that we have both a high-level action theory and a low-level one that represent the agent’s behavior at different levels of detail. In this setting, we define ability to perform a task/achieve a goal, and then show that under some reasonable assumptions, if the agent has a strategy by which she is able to achieve a goal at the high level, then we can refine it into a low-level strategy to do so.

上一篇：Compiling Model Representations for Querying Large ABoxes in Expressive DLs

下一篇：First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...