| 期刊全稱(chēng) | Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach | | 影響因子2023 | Jeroen Janssen,Steven Schockaert,Martine de Cock | | 視頻video | http://file.papertrans.cn/159/158160/158160.mp4 | | 發(fā)行地址 | Contains an extensive survey on the current state-of-the-art w.r.t..the combination of answer set programming with continuous logics Shows how answer set programming can be used for solving continuous | | 學(xué)科分類(lèi) | Atlantis Computational Intelligence Systems | | 圖書(shū)封面 |  | | 影響因子 | Answer set programming (ASP) is a declarative language tailored towards solving combinatorial optimization problems. It has been successfully applied to e.g. planning problems, configuration and verification of software, diagnosis and database repairs. However, ASP is not directly suitable for modeling problems with continuous domains. Such problems occur naturally in diverse fields such as the design of gas and electricity networks, computer vision and investment portfolios. To overcome this problem we study FASP, a combination of ASP with fuzzy logic -- a class of manyvalued logics that can handle continuity. We specifically focus on the following issues:1. An important question when modeling continuous optimization problems is how we should handle overconstrained problems, i.e. problems that have no solutions. In many cases we can opt to accept an imperfect solution, i.e. a solution that does not satisfy all the stated rules (constraints). However, this leads to the question: what imperfect solutions should we choose? We investigate this question and improve upon the state-of-the-art by proposing an approach based on aggregation functions.2. Users of a programming language often | | Pindex | Book 2012 |
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