Search results for "Computation Theory & Mathematics"

showing 10 items of 332 documents

Leader election and local identifiers for three‐dimensional programmable matter

2020

International audience; In this paper, we present two deterministic leader election algorithms for programmable matter on the face-centered cubic grid. The face-centered cubic grid is a 3-dimensional 12-regular infinite grid that represents an optimal way to pack spheres (i.e., spherical particles or modules in the context of the programmable matter) in the 3-dimensional space. While the first leader election algorithm requires a strong hypothesis about the initial configuration of the particles and no hypothesis on the system configurations that the particles are forming, the second one requires fewer hypothesis about the initial configuration of the particles but does not work for all pos…

Leader electionComputer Networks and CommunicationsComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM][INFO] Computer Science [cs]Computer securitycomputer.software_genre01 natural sciencesComputer Science ApplicationsTheoretical Computer ScienceIdentifierProgrammable matter[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Computational Theory and Mathematics010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingcomputerSoftware
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Enabling XCSF to cope with dynamic environments via an adaptive error threshold

2020

The learning classifier system XCSF is a variant of XCS employed for function approximation. Although XCSF is a promising candidate for deployment in autonomous systems, its parameter dependability imposes a significant hurdle, as a-priori parameter optimization is not feasible for complex and changing environmental conditions. One of the most important parameters is the error threshold, which can be interpreted as a target bound on the approximation error and has to be set according to the approximated function. To enable XCSF to reliably approximate functions that change during runtime, we propose the use of an error threshold, which is adapted at run-time based on the currently achieved …

Learning classifier systemComputer scienceError thresholdComputer Science::Neural and Evolutionary Computation0102 computer and information sciences02 engineering and technologyFunction (mathematics)01 natural sciencesSet (abstract data type)Function approximation010201 computation theory & mathematicsApproximation error0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAlgorithmProceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
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Steiner systems and configurations of points

2020

AbstractThe aim of this paper is to make a connection between design theory and algebraic geometry/commutative algebra. In particular, given any Steiner SystemS(t, n, v) we associate two ideals, in a suitable polynomial ring, defining a Steiner configuration of points and its Complement. We focus on the latter, studying its homological invariants, such as Hilbert Function and Betti numbers. We also study symbolic and regular powers associated to the ideal defining a Complement of a Steiner configuration of points, finding its Waldschmidt constant, regularity, bounds on its resurgence and asymptotic resurgence. We also compute the parameters of linear codes associated to any Steiner configur…

Linear codes; Monomial ideals; Stanley Reisner rings; Steiner systems; Symbolic powersSteiner systemsBetti numberPolynomial ring0102 computer and information sciencesAlgebraic geometrySymbolic powers01 natural sciencessymbols.namesakeMathematics - Algebraic GeometryLinear codesTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYMonomial idealsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONFOS: MathematicsMathematics - CombinatoricsIdeal (ring theory)0101 mathematicsCommutative algebraAlgebraic Geometry (math.AG)Complement (set theory)MathematicsDiscrete mathematicsHilbert series and Hilbert polynomialApplied Mathematics010102 general mathematicsStanley Reisner ringsLinear codes Monomial ideals Stanley Reisner rings Steiner systems Symbolic powersComputer Science Applications51E10 13F55 13F20 14G50 94B27Settore MAT/02 - AlgebraSteiner systemSteiner systems Monomial ideals Symbolic powers Stanley Reisner rings Linear codes010201 computation theory & mathematicssymbolsCombinatorics (math.CO)Settore MAT/03 - GeometriaMathematicsofComputing_DISCRETEMATHEMATICS
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Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines

2020

Abstract syntax is an interlingual representation used in compilers. Grammatical Framework (GF) applies the abstract syntax idea to natural languages. The development of GF started in 1998, first as a tool for controlled language implementations, where it has gained an established position in both academic and commercial projects. GF provides grammar resources for over 40 languages, enabling accurate generation and translation, as well as grammar engineering tools and components for mobile and Web applications. On the research side, the focus in the last ten years has been on scaling up GF to wide-coverage language processing. The concept of abstract syntax offers a unified view on many oth…

Linguistics and LanguageInterlinguaComputer scienceGrammatical Framework0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesLanguage and LinguisticsDevelopment (topology)Artificial IntelligenceAbstract syntax0202 electrical engineering electronic engineering information engineeringScalingProgramming languageRepresentation (systemics)lcsh:P98-98.5language.human_languageComputer Science Applications010201 computation theory & mathematicslanguage020201 artificial intelligence & image processingCompilerlcsh:Computational linguistics. Natural language processingcomputerNatural languageComputational Linguistics
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Coarse-Grained Barrier Trees of Fitness Landscapes

2016

Recent literature suggests that local optima in fitness landscapes are clustered, which offers an explanation of why perturbation-based metaheuristics often fail to find the global optimum: they become trapped in a sub-optimal cluster. We introduce a method to extract and visualize the global organization of these clusters in form of a barrier tree. Barrier trees have been used to visualize the barriers between local optima basins in fitness landscapes. Our method computes a more coarsely grained tree to reveal the barriers between clusters of local optima. The core element is a new variant of the flooding algorithm, applicable to local optima networks, a compressed representation of fitnes…

Local optima networksTheoretical computer scienceFitness landscapeComputer scienceSearch difficulty0102 computer and information sciences02 engineering and technology01 natural sciencesLocal optimum0202 electrical engineering electronic engineering information engineeringCluster (physics)Disconnectivity graphRepresentation (mathematics)MetaheuristicNK-landscapesFlooding algorithmbusiness.industryFitness landscape analysisBig valleyLocal optima networksTree (data structure)010201 computation theory & mathematicsBarrier tree020201 artificial intelligence & image processingArtificial intelligencebusiness
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The fluted fragment revisited

2019

AbstractWe study the fluted fragment, a decidable fragment of first-order logic with an unbounded number of variables, motivated by the work of W. V. Quine. We show that the satisfiability problem for this fragment has nonelementary complexity, thus refuting an earlier published claim by W. C. Purdy that it is in NExpTime. More precisely, we consider ${\cal F}{{\cal L}^m}$, the intersection of the fluted fragment and the m-variable fragment of first-order logic, for all $m \ge 1$. We show that, for $m \ge 2$, this subfragment forces $\left\lfloor {m/2} \right\rfloor$-tuply exponentially large models, and that its satisfiability problem is $\left\lfloor {m/2} \right\rfloor$-NExpTime-hard. We…

Logic0102 computer and information sciencesQuine01 natural sciences68Q17Fragment (logic)0101 mathematicstransitivityMathematicsfirst-order logicDiscrete mathematicsTransitive relationNEXPTIME010102 general mathematicsdecidabilityfluted fragmentSatisfiabilityDecidabilityFirst-order logicPhilosophysatisfiability010201 computation theory & mathematicssatisfabilityBoolean satisfiability problemcomplexityJournal of Symbolic Logic
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Adaptive predictor control for stabilizing pressure in a managed pressure drilling system under time-delay

2016

Abstract In this paper, we address adaptive predictor feedback design for a simplified ODE drilling system in the presence of unknown parameter, disturbance and time-delay. The main objective is to stabilize the bottomhole pressure at a critical depth at a desired set-point directly. The time-delay in the transmission line of the drilling systems is considered. The stabilization of the dynamic system and the asymptotic tracking are demonstrated by the proposed predictor control, where the adaptation employs Lyapunov update law design with normalization. The proposed method is evaluated using a high fidelity drilling simulator and cases from a North Sea drilling operation are simulated. The …

Lyapunov functionNormalization (statistics)0209 industrial biotechnologyEngineeringAdaptive controlbusiness.industryOde0102 computer and information sciences02 engineering and technologyTracking (particle physics)01 natural sciencesIndustrial and Manufacturing EngineeringComputer Science ApplicationsCompensation (engineering)symbols.namesake020901 industrial engineering & automation010201 computation theory & mathematicsControl and Systems EngineeringTransmission lineControl theoryModeling and SimulationsymbolsbusinessSimulationJournal of Process Control
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Back to “Reasoning”

2016

Is rigor always strictly related to precision and accuracy? This is a fundamental question in the realm of Fuzzy Logic; the first instinct would be to answer in the positive, but the question is much more complex than it appears, as true rigor is obtained also by a careful examination of the context, and limiting to a mechanical transfer of techniques, procedures and conceptual attitudes from one domain to another, such as from the pure engineering feats or the ones of mathematical logic to the study of human reasoning, does not guarantee optimal results. Starting from this question, we discuss some implications of going back to the very concept of reasoning as it is used in natural languag…

Mathematical logicComputer sciencemedia_common.quotation_subject05 social sciencesContext (language use)Reasoning0102 computer and information sciences01 natural sciencesFuzzy logic050105 experimental psychologyDomain (software engineering)EpistemologyPhilosophical logicInstinct010201 computation theory & mathematicsRealm0501 psychology and cognitive sciencesNatural languagemedia_common
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Stochastic Scheduling of Production Orders Under Uncertainty

2017

This paper attempts to solve the problem of searching minimum production order completion time variants by means of stochastic logical structures with all cost curve descent points and corresponding minimum-cost schedules. The analysis presented in this paper considers scheduling of unique and small batch production, predominantly to order, which accounts for changing requirements of the customer, the complexity and long production process makespan including its technical preparation. Scheduling of production order was performed by means of GAN networks and employed the concept of soft relations. The cost/time relation analysis is based on two-node network models using the cost curve. A new…

Mathematical optimization021103 operations researchJob shop schedulingComputer science0211 other engineering and technologiesScheduling (production processes)0102 computer and information sciences02 engineering and technology01 natural sciences010201 computation theory & mathematicsCost curveProduction orderCompletion timeBatch productionNetwork model
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A challenging family of automata for classical minimization algorithms

2010

In this paper a particular family of deterministic automata that was built to reach the worst case complexity of Hopcroft's state minimization algorithm is considered. This family is also challenging for the two other classical minimization algorithms: it achieves the worst case for Moore's algorithm, as a consequence of a result by Berstel et al., and is of at least quadratic complexity for Brzozowski's solution, which is our main contribution. It therefore constitutes an interesting family, which can be useful to measure the efficiency of implementations of well-known or new minimization algorithms.

Mathematical optimizationComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technology01 natural sciencesMeasure (mathematics)Classical Minimization AlgorithmAutomatonRegular languageDFA minimization010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringWorst-case complexity020201 artificial intelligence & image processingMinificationState (computer science)AlgorithmComputer Science::Formal Languages and Automata TheoryComputingMilieux_MISCELLANEOUS
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