Search results for "Structural complexity"

showing 10 items of 12 documents

Complexity and interaction: comparing the development of L1 and L2

2011

In research into first and second language development, the focus has mainly been either on the formal features of learner language alone (both L1 and L2) or on the interaction between learners and their caretakers (L1) or native speaker peers (L2).These research traditions have been kept a part even though it has been widely acknowledged that both first and second languages are appropriated essentially in social interaction. This paper aims to strengthen the connection between social and formal approaches by combining interactional views with those focusing on the structural complexity of learner language. Some excerpts from L1 and L2 interaction data (in the Finnish language) are discusse…

Linguistics and LanguageProcess managementsegmentationFinnish languagestructural complexityinteractionlcsh:Finnic. Baltic-Finniclcsh:PH91-98.5Language and Linguisticslcsh:Philology. Linguisticssecond languageDevelopment (topology)lcsh:P1-1091first languagePsychologyEesti ja soome-ugri keeleteaduse ajakiri. Journal of Estonian and Finno-Ugric Linguistics
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Mixed valence mono- and hetero-metallic grid catenanes

2015

Multicomponent self-assembly was employed to obtain, in the solid state, a series of mixed valence mono- and hetero-metallic grid catenanes, which were characterized by single crystal X-ray diffraction.

DiffractionValence (chemistry)ChemistryCatenanestructural complexityPhysics::OpticsGeneral ChemistryGrid3. Good healthMetalCondensed Matter::Materials ScienceChemistryCatenationCrystallographycatenanesvisual_artvisual_art.visual_art_mediumCondensed Matter::Strongly Correlated Electronsta116Single crystal
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MLU and IPSyn measuring absolute complexity

2009

This article compares the results of Mean Length of Utterance (MLU) and Index of Productive Syntax (IPSyn) with the structural complexity of spontaneous utterances produced by 30-month-old Finnish children in a semi-structured playing situation. The comparison was carried out in order to determine the aspects of structural complexity which can be detected with MLU and IPSyn. This research adopts the frameworks of absolute complexity together with a multidimensional view of utterance structure and, furthermore, applies it through Utterance Analysis (UA). The results of the comparison between the metrics and changes in structural complexity discovered by UA reveal that MLU and IPSyn do functi…

Linguistics and Languagestructural complexitylcsh:Finnic. Baltic-Finniclcsh:PH91-98.5computer.software_genreLanguage and LinguisticsEducationStructural complexitylcsh:P1-1091child languageMathematicsStructure (mathematical logic)business.industryFinnishacquisitionFunction (mathematics)SyntaxFocus (linguistics)lcsh:Philology. LinguisticsIf and only ifArtificial intelligencebusinessMean length of utterancecomputerUtteranceNatural language processingmorphosyntaxEesti Rakenduslingvistika Ühingu aastaraamat. Estonian Papers in Applied Linguistics
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On Physical Problems that are Slightly More Difficult than QMA

2013

We study the complexity of computational problems from quantum physics. Typically, they are studied using the complexity class QMA (quantum counterpart of NP) but some natural computational problems appear to be slightly harder than QMA. We introduce new complexity classes consisting of problems that are solvable with a small number of queries to a QMA oracle and use these complexity classes to quantify the complexity of several natural computational problems (for example, the complexity of estimating the spectral gap of a Hamiltonian).

Discrete mathematicsFOS: Computer and information sciencesQuantum PhysicsTheoretical computer scienceCompleteNP-easyFOS: Physical sciences0102 computer and information sciencesComputer Science::Computational ComplexityComputational Complexity (cs.CC)01 natural sciencesPHStructural complexity theoryComputer Science - Computational Complexity010201 computation theory & mathematics0103 physical sciencesAsymptotic computational complexityComplexity classF.1.2Low010306 general physicsQuantum Physics (quant-ph)Quantum complexity theoryMathematics2014 IEEE 29th Conference on Computational Complexity (CCC)
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Effects of structural complexity on epifaunal assemblages associated with two intertidal Mediterranean seaweeds

2023

Brown foundation seaweeds are key elements increasing substrate heterogeneity and shaping the biodiversity in rocky coastal ecosystems. They are, however, vulnerable species that are declining due to multiple anthropogenic and climate change stressors, leading to a shift to less structural complex habitats. We investigate the role of structural attributes of two intertidal macroalgae, Ericaria amentacea and Laurencia obtusa, in shaping the abundance and diversity of their associated epifaunal assemblages. For this aim, we measured seaweeds’ biomass, thallus volume and length (used here as proxy of substrate complexity), and explored which seaweeds’ substrate attribute explained better varia…

Settore BIO/07 - EcologiaepifaunaFoundation speciesLaurencia obtusaarthropodaSettore BIO/02 - Botanica Sistematicastructural complexityMediterranean SeaSettore BIO/05 - ZoologiaPlant ScienceEricaria amentaceamolluscaEcology Evolution Behavior and SystematicsPlant Biosystems - An International Journal Dealing with all Aspects of Plant Biology
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Algorithmic Information Theory and Computational Complexity

2013

We present examples where theorems on complexity of computation are proved using methods in algorithmic information theory. The first example is a non-effective construction of a language for which the size of any deterministic finite automaton exceeds the size of a probabilistic finite automaton with a bounded error exponentially. The second example refers to frequency computation. Frequency computation was introduced by Rose and McNaughton in early sixties and developed by Trakhtenbrot, Kinber, Degtev, Wechsung, Hinrichs and others. A transducer is a finite-state automaton with an input and an output. We consider the possibilities of probabilistic and frequency transducers and prove sever…

Discrete mathematicsAverage-case complexityAlgorithmic information theoryTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESKolmogorov complexityDescriptive complexity theoryComputational physicsStructural complexity theoryTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonAsymptotic computational complexityComputer Science::Formal Languages and Automata TheoryComputational number theoryMathematics
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Hierarchical Self-Assembly of Supramolecular Spintronic Modules into 1D- and 2D-Architectures with Emergence of Magnetic Properties

2004

Hierarchical self-assembly of complex supramolecular architectures allows for the emergence of novel properties at each level of complexity. The reaction of the ligand components A and B with Fe II cations generates the (2 K 2) grid-type functional building modules 1 and 2, presenting spin-tran- sition properties and preorganizing an array of coordination sites that sets the stage for a second assembly step. Indeed, binding of La III ions to 1 and of Ag I ions to 2 leads to a 1D columnar superstructure 3 and to a wall-like 2D layer 4, respectively, with concomitant modulation of the magnetic properties of 1 and 2. Thus, to each of the two levels of structural complexity generat- ed by the t…

SuperstructureSpintronicsLigandChemistryOrganic ChemistrySupramolecular chemistrySpin transitionNanotechnologyGeneral ChemistrySelf-assemblyLayer (object-oriented design)CatalysisStructural complexityChemistry - A European Journal
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Non-intersecting Complexity

2006

A new complexity measure for Boolean functions is introduced in this article. It has a link to the query algorithms: it stands between both polynomial degree and non-deterministic complexity on one hand and still is a lower bound for deterministic complexity. Some inequalities and counterexamples are presented and usage in symmetrisation polynomials is considered.

PHCombinatoricsAverage-case complexityStructural complexity theoryAsymptotic computational complexityWorst-case complexityComplexity classDescriptive complexity theoryQuantum complexity theoryMathematics
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Contrasting structural complexity differentiate hunting strategy in an ambush apex predator.

2021

AbstractStructural complexity is known to influence prey behaviour, mortality and population structure, but the effects on predators have received less attention. We tested whether contrasting structural complexity in two newly colonised lakes (low structural complexity lake—LSC; high structural complexity—HSC) was associated with contrasting behaviour in an aquatic apex predator, Northern pike (Esox lucius; hereafter pike) present in the lakes. Behaviour of pike was studied with whole-lake acoustic telemetry tracking, supplemented by stable isotope analysis of pike prey utilization and survey fishing data on the prey fish community. Pike displayed increased activity, space use, individual …

Food ChainStable isotope analysishaukiBehavioural ecologyScienceForagingBiologyeläinten käyttäytyminenArticlePredationStructural complexity:Basic biosciences: 470 [VDP]Littoral zoneAnimalsEsoxvesiekologiaEcosystemPikecomputer.programming_languageApex predatorvesikasvillisuusMultidisciplinaryEcologyEcologyQRvesiekosysteemit:Basale biofag: 470 [VDP]biology.organism_classificationkompleksisuussaalistusLakesPredatory BehaviorForage fishEsocidaeMedicineFreshwater ecologycomputerScientific reports
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Effects of Kolmogorov complexity present in inductive inference as well

1997

For all complexity measures in Kolmogorov complexity the effect discovered by P. Martin-Lof holds. For every infinite binary sequence there is a wide gap between the supremum and the infimum of the complexity of initial fragments of the sequence. It is assumed that that this inevitable gap is characteristic of Kolmogorov complexity, and it is caused by the highly abstract nature of the unrestricted Kolmogorov complexity.

PHAverage-case complexityDiscrete mathematicsStructural complexity theoryKolmogorov complexityKolmogorov structure functionChain rule for Kolmogorov complexityDescriptive complexity theoryMathematicsQuantum complexity theory
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