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The Automated Taxonomic Concept Reasoner [PDF]
Biodiversity Information Science and Standards, 2020 We present a visual and interactive taxonomic Artificial Intelligence (AI) tool, the Automated Taxonomic Concept Reasoner (ATCR), whose graphical web interface is under development and will also become available via an Application Programming Interface (API). The tool employs automated reasoning (Beeson 2014) to align multiple taxonomies visually, in a
Atriya Sen +3 more
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seIMC: A GSW-Based Secure and Efficient Integer Matrix Computation Scheme With Implementation
IEEE Access, 2020 As atomic operations, secure matrix-based computations using homomorphic encryption (HE) have attracted much attention in cloud-based machine learning. However, most existing secure matrix computation solutions that focus on HE schemes suffer efficiency ...
Yanan Bai +4 more
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Legal linguistic templates and the tension between legal knowledge representation and reasoning
Frontiers in Artificial Intelligence, 2023 There is an inherent tension between knowledge representation and reasoning. For an optimal representation and validation, an expressive language should be used. For an optimal automated reasoning, a simple one is preferred.
Tomer Libal
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α-Minimal Resolution Principle For A Lattice-Valued Logic [PDF]
International Journal of Computational Intelligence Systems, 2015 Based on the academic ideas of resolution-based automated reasoning and the previously established research work on binary α-resolution based automated reasoning schemes in the framework of lattice-valued logic with truth-values in a lattice ...
Hairui Jia, Yang Xu, Yi Liu, Jun Liu
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Frontiers in Artificial Intelligence, 2023 It is well-known that Artificial Intelligence (AI), and in particular Machine Learning (ML), is not effective without good data preparation, as also pointed out by the recent wave of data-centric AI.
Gianluca Cima +3 more
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, 2022 This volume, LNAI 13385, constitutes the refereed proceedings of the 11th International Joint Conference on Automated Reasoning, IJCAR 2022, held in Haifa, Israel, in August 2022. The 32 full research papers and 9 short papers presented together with two
core +1 more source
Inductive Benchmarks for Automated Reasoning [PDF]
, 2021 We present a large set of benchmarks for automated theorem provers that require inductive reasoning. Motivated by the need to compare first-order theorem provers, SMT solvers and inductive theorem provers, the setting of our examples follows the SMT-LIB standard. Our benchmark set contains problems with inductive data types as well as integers.
Márton Hajdu +4 more
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Determination of 3-Ary -Resolution in Lattice-valued Propositional Logic LP(X) [PDF]
International Journal of Computational Intelligence Systems, 2013 One of key issues for -() ary resolution automated reasoning based on lattice-valued logic with truth-value in a lattice implication algebra is to investigate the -() ary resolution of some generalized literals.
Yi Liu, Hairui Jia, Yang Xu
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Combining Task and Motion Planning: Challenges and Guidelines
Frontiers in Robotics and AI, 2021 Combined Task and Motion Planning (TAMP) is an area where no one-fits-all solution can exist. Many aspects of the domain, as well as operational requirements, have an effect on how algorithms and representations are designed.
Masoumeh Mansouri +2 more
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α-Resolution Method for Lattice-valued Horn Generalized Clauses in Lattice-valued Propositional Logic Systems [PDF]
International Journal of Computational Intelligence Systems, 2015 In this paper, an α-resolution method for a set of lattice-valued Horn generalized clauses is established in lattice-valued propositional logic system ℒ P(X) based on lattice implication algebra.
Weitao Xu +4 more
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