ATPboost is a system for solving sets of large-theory problems by interleaving ATP runs with state-of-the-art machine learning of premise selection from the proofs. Unlike many approaches that use multi-label setting,...
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ISBN:
(纸本)9783319942056;9783319942049
ATPboost is a system for solving sets of large-theory problems by interleaving ATP runs with state-of-the-art machine learning of premise selection from the proofs. Unlike many approaches that use multi-label setting, the learning is implemented as binary classification that estimates the pairwise-relevance of (theorem, premise) pairs. ATPboost uses for this the fast state-of-the-art XGBoost gradient boosting algorithm. Learning in the binary setting however requires negative examples, which is nontrivial due to many alternative proofs. We discuss and implement several solutions in the context of the ATP/ML feedback loop, and show significant improvement over the multi-label approach.
the High school is the pillar in the development of skills and competences of the basic sciences, allowing to develop in the student abilities that will allow him to choose a profession, the mathematics course is the ...
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ISBN:
(纸本)9781450366298
the High school is the pillar in the development of skills and competences of the basic sciences, allowing to develop in the student abilities that will allow him to choose a profession, the mathematics course is the one indicated in allowing the development of logical, analytical, interpretation and of calculation, allowing to develop with greater comfort in higher education. University careers and techniques related to engineering areas, have a strong component in mathematics and the development of certain courses related to the use of computer tools with greater emphasis on programming courses, it is the programming courses that allow the continuity of the student, in this research work, we present an interactive tool through which the student of secondary education is presented, topics related to mathematics and the way how they can be solved through the use of programming techniques, jointly developing mathematical, logical and programming skills, allowing the student to improve their cognitive skills and their ability to use the different computational tools, the pilot test was conducted on the basis of 15 students in the second grade of secondary education of a school in Lima, where he was given the basic course of programming using the interactive tool, developing development guides with problems of mathematical reasoning, which allowed us to analyze the improvement in the way of approaching mathematical problems from a logic of programming as well as the way of learning a programming language, in our case the language used was Python with an interactive tool based on artificialintelligence, which allows the student to ask about the use of the language syntax.
the proceedings contain 14 papers. the special focus in this conference is on Rewriting logic and its Applications. the topics include: Proving ground confluence of equational specifications modulo axioms;uniform stro...
ISBN:
(纸本)9783319998398
the proceedings contain 14 papers. the special focus in this conference is on Rewriting logic and its Applications. the topics include: Proving ground confluence of equational specifications modulo axioms;uniform strong normalization for multi-discipline calculi;real-time rewriting logic semantics for spatial concurrent constraint programming;Approximating any logic program by a CS-program;multi-paradigm programming in maude;MUnit: A unit framework for maude;parameterized programming for compositional system specification;Symbolic specification and verification of data-aware BPMN processes using rewriting modulo SMT;associative unification and symbolic reasoning modulo associativity in maude;proving structural properties of sequent systems in rewriting logic;formal modeling and analysis of the walter transactional data store;extending timbuk to verify functional programs.
In this paper we introduce hypersequent-based frameworks for the modeling of defeasible reasoning by means of logic-based argumentation. these frameworks are an extension of sequent-based argumentation frameworks, in ...
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ISBN:
(纸本)9781450356497
In this paper we introduce hypersequent-based frameworks for the modeling of defeasible reasoning by means of logic-based argumentation. these frameworks are an extension of sequent-based argumentation frameworks, in which arguments are represented not only by sequents, but by more general expressions, called hypersequents. this generalization allows to incorporate, as the deductive base of our formalism, some well-studied logics like the modal logic S5, the relevant logic RM, and Godel-Dummett logic LC, to which no cut-free sequent calculi are known. In this paper we take S5 as the core logic and show that the hypersequent-based argumentation frameworks that are obtained in this case yield a robust defeasible variant of S5 with several desirable properties.
this study examines the psychological research that focuses on road safety in Smart Cities as proposed by the Vulnerable Road Users (VRUs) sphere. It takes into account qualities such as VRUs' personal information...
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ISBN:
(纸本)9783319926391;9783319926384
this study examines the psychological research that focuses on road safety in Smart Cities as proposed by the Vulnerable Road Users (VRUs) sphere. It takes into account qualities such as VRUs' personal information, their habits, environmental measurements and things data. Withthe goal of seeing VRUs as active and proactive actors with differentiated feelings and behaviours, we are committed to integrating the social factors that characterize each VRU into our social machinery. As a result, we will focus on the development of a VRU Social Machine to assess VRUs' behaviour in order to improve road safety. the formal background will be to use logicprogramming to define its architecture based on a Deep Learning approach to Knowledge Representation and reasoning, complemented with an Evolutionary approach to Computing.
Alzheimer's Disease (AD) is referred to as one of the most common causes of dementia, which in itself justifies the interest and investment that is made in order to find new biomarkers to identify the disease in i...
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ISBN:
(纸本)9783319605913;9783319605906
Alzheimer's Disease (AD) is referred to as one of the most common causes of dementia, which in itself justifies the interest and investment that is made in order to find new biomarkers to identify the disease in its early stages. Indeed, focusing on the hippocampus as a marker for AD, it would be object of analyse different methods of volume measurement and hippocampus segmentation. On the other hand, the computational framework is built on top of a logicprogramming approach to Knowledge Representation and reasoning, complemented with a computational framework base on artificial Neural Networks that grip on incomplete, unknown, and even self-contradictory information or knowledge.
the proceedings contain 15 papers. the special focus in this conference is on theory and Applications of Formal Argumentation. the topics include: Eqargsolver – system description;team persuasion;towards a general fr...
ISBN:
(纸本)9783319755526
the proceedings contain 15 papers. the special focus in this conference is on theory and Applications of Formal Argumentation. the topics include: Eqargsolver – system description;team persuasion;towards a general framework for dialogues that accommodate reasoning about preferences;enumerating preferred extensions: A case study of human reasoning;a dynamic model of trust in dialogues;Hypersequent-based argumentation: An instantiation in the relevance logic RM;on the interaction between logic and preference in structured argumentation;ASPIC-END: Structured argumentation with explanations and natural deduction;on the links between argumentation-based reasoning and nonmonotonic reasoning;extended explanatory argumentation frameworks;probabilities on extensions in abstract argumentation;a forward propagation algorithm for the computation of the semantics of argumentation frameworks;the formal argumentation libraries of tweety.
Due to its expressiveness and intuitiveness, Probabilistic logicprogramming (PLP) is a useful tool for reasoning in relational domains with uncertainty. However, both inference and learning are expensive tasks. In th...
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In a previous paper by Bou et al., the minimal modal logic over a finite residuated lattice with a necessity operator was characterized under different semantics. In the general context of a residuated lattice, the re...
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ISBN:
(纸本)9783319668277;9783319668260
In a previous paper by Bou et al., the minimal modal logic over a finite residuated lattice with a necessity operator was characterized under different semantics. In the general context of a residuated lattice, the residual negation notsign is not necessarily involutive, and hence a corresponding possibility operator cannot be introduced by duality. In the first part of this paper we address the problem of extending such a minimal modal logic with a suitable possibility operator . In the second part of the paper, we introduce suitable axiomatic extensions of the resulting bimodal logic and define a logic to reason about fuzzy preferences, generalising to the many-valued case a basic preference modal logic considered by van Benthem et al.
In present paper we consider a combination of CBR withthe Domain Ontology and Data Mining. the proposed approach to integration CBR withthe Ontology, as a result, gives a numerical matrix that characterize the seman...
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