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Titlebook: Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach; Jeroen Janssen,Steven Schockaert,Martine de Cock Book 2012 Atlantis

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发表于 2025-3-21 17:14:51 | 显示全部楼层 |阅读模式
期刊全称Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach
影响因子2023Jeroen Janssen,Steven Schockaert,Martine de Cock
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发行地址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
学科分类Atlantis Computational Intelligence Systems
图书封面Titlebook: Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach;  Jeroen Janssen,Steven Schockaert,Martine de Cock Book 2012 Atlantis
影响因子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
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Eine Einführung in Jugendkulturenerri et al. 2005) through its front-end by compiling this framework to a logic program with weak constraints (Buccafurri et al. 2000). For preferences in ASP a common implementation method is to use a meta-formalism and first generate all answer sets for a program, and then filter the most preferred
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Book 2012hat 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
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Introduction, of merely using the punched cards as data, the analytical engine could perform arbitrary computations that were encoded in the punched cards. As such, we can consider this the first real programmable machine
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Core Fuzzy Answer Set Programming,erri et al. 2005) through its front-end by compiling this framework to a logic program with weak constraints (Buccafurri et al. 2000). For preferences in ASP a common implementation method is to use a meta-formalism and first generate all answer sets for a program, and then filter the most preferred
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Jeroen Janssen,Steven Schockaert,Martine de CockContains 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
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