Abstract
Automated planning for numerous co-existing agents, with uncertainty caused by various levels of their predictability, observability and autonomy, is a complex task. One of the most significant issues is related to explosion of the state space. This paper presents a formal framework which can be used to model such systems and proposes the use of formally-modeled agents' preferences as a way of reducing the number of states. A detailed description of preference modeling is provided, and the approach is evaluated by examples. © 2013 Springer-Verlag.
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CITATION STYLE
Klimek, R., Wojnicki, I., & Ernst, S. (2013). State-space reduction through preference modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7895 LNAI, pp. 363–374). https://doi.org/10.1007/978-3-642-38610-7_34
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