Hybrid Answer Set Programming

被引:1
|
作者
Brik, Alex [1 ]
Remmel, Jeffrey [1 ]
机构
[1] Univ Calif San Diego, Dept Math, La Jolla, CA 92093 USA
关键词
Answer set programming; Markov Decision Processes; Stable models; Dynamic domains; Modeling and simulation; COMPLEXITY;
D O I
10.1016/j.apal.2013.07.008
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper discusses an extension of Answer Set Programming (ASP) called Hybrid Answer Set Programming (H-ASP) which allows the user to reason about dynamical systems that exhibit both discrete and continuous aspects. The unique feature of Hybrid ASP is that it allows the use of ASP type rules as controls for when to apply algorithms to advance the system to the next position. That is, if the prerequisites of a rule are satisfied and the constraints of the rule are not violated, then the algorithm associated with the rule is invoked. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:134 / 163
页数:30
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