Elliptic coordination

2012 ◽  
Vol 23 (3) ◽  
pp. 555-599 ◽  
Author(s):  
Ronald W. Langacker,
Keyword(s):  
Time Scales ◽  
Cognitive Grammar ◽  
Differential Function ◽  
Active Content ◽  
Special Case ◽  
Different Time Scales

AbstractProposals are made to expand and refine previous analyses of coordination in Cognitive Grammar. The account presupposes a number of general notions established independently: (i) flexible symbolic assemblies (rather than constituency) as the basis for describing grammar; (ii) a dynamic view of structure (as patterns of activity occurring in windows of attention on different time scales); (iii) a metaphor involving access, activation, and conceptual overlap (to complement the standard compositional metaphor); and (iv) various kinds of abstraction (including schematicity, the type/instance distinction, and the invocation of virtual entities). Coordination is characterized as the mental juxtaposition of entities conceived as being analogous. These notions are first employed to describe the conjoining of constituents, including clauses. Non-constituent coordination is analyzed in the context of other sorts of clausal “reduction”, including the accentual reduction of unfocused elements in English as well as ellipsis, where overlapping content is left unexpressed. A pivotal descriptive notion is the differential, i.e. the content appearing in one clausal window that does not appear in the prior window. The anti-differential consists of any previously active content that the differential conflicts with and suppresses. Non-constituent coordination is a special case of ellipsis where the differential and anti-differential function as conjuncts.

Trees, assemblies, chains, and windows

2020 ◽  
Vol 12 (1) ◽  
pp. 8-55
Author(s):  
Ronald W. Langacker
Keyword(s):  
Structure Function ◽  
Time Scales ◽  
Cognitive Grammar ◽  
Unified Approach ◽  
Temporal Dimension ◽  
Linguistic Ability ◽  
Processing Activity ◽  
Dependency Trees ◽  
Different Time Scales

Abstract For describing grammatical organization, metaphors based on a variety of source domains – including trees, networks, chains, paths, and windows – all appear to have some validity. In Cognitive Grammar, they pertain to facets of assemblies, where semantic and phonological structures are connected by relations of symbolization, composition, and categorization. Assemblies have a temporal dimension; consisting in sequenced processing activity that runs concurrently on different time scales, they involve both seriality and hierarchy. In their hierarchical aspect, they are comparable to constituency trees, and in their connections, to dependency trees. Assembly elements, which can be characterized at any level of specificity, are connected in both syntagmatic and paradigmatic relations. A person’s linguistic ability comprises a vast assembly of conventional units, a portion of which are activated as part of the transient assembly constituting a particular expression. Lexicon and grammar effect the implementation of semantic functions – affective, interactive, descriptive, and discursive – which emerge with varying degrees of salience depending on their symbolization by segmental, prosodic, and other means. Assemblies thus make possible a unified approach to processing, structure, function, and use.

Agent-Based Computational Model

2017 ◽  
Author(s):  
Joshua M. Epstein
Keyword(s):  
Computational Model ◽  
Bounded Rationality ◽  
Time Scales ◽  
Spatially Explicit ◽  
Agent Based ◽  
Affective Component ◽  
Elementary Type ◽  
Social Component ◽  
Different Time Scales

This part describes the agent-based and computational model for Agent_Zero and demonstrates its capacity for generative minimalism. It first explains the replicability of the model before offering an interpretation of the model by imagining a guerilla war like Vietnam, Afghanistan, or Iraq, where events transpire on a 2-D population of contiguous yellow patches. Each patch is occupied by a single stationary indigenous agent, which has two possible states: inactive and active. The discussion then turns to Agent_Zero's affective component and an elementary type of bounded rationality, as well as its social component, with particular emphasis on disposition, action, and pseudocode. Computational parables are then presented, including a parable relating to the slaughter of innocents through dispositional contagion. This part also shows how the model can capture three spatially explicit examples in which affect and probability change on different time scales.

Green markets integration in different time scales: A regional analysis

2021 ◽  
Vol 98 ◽  
pp. 105254 ◽  
Author(s):  
Christian Urom ◽  
Hela Mzoughi ◽  
Ilyes Abid ◽  
Mariem Brahim
Keyword(s):  
Time Scales ◽  
Regional Analysis ◽  
Different Time Scales

scholarly journals Measuring chromosome dynamics on different time scales using resolvases with varying half-lives

2005 ◽  
Vol 56 (4) ◽  
pp. 1049-1061 ◽  
Author(s):  
Richard A. Stein ◽  
Shuang Deng ◽  
N. Patrick Higgins
Keyword(s):  
Time Scales ◽  
Chromosome Dynamics ◽  
Different Time Scales

scholarly journals Reservoir ecological operation considering outflow variations across different time scales

2021 ◽  
Vol 125 ◽  
pp. 107582 ◽  
Author(s):  
Yibo Wang ◽  
Pan Liu ◽  
Ming Dou ◽  
He Li ◽  
Bo Ming ◽  
...  
Keyword(s):  
Time Scales ◽  
Different Time Scales

scholarly journals Stellar noise and planet detection. I. Oscillations, granulation and sun-like spots

2010 ◽  
Vol 6 (S276) ◽  
pp. 527-529
Author(s):  
Xavier Dumusque ◽  
Nuno C. Santos ◽  
Stéphane Udry ◽  
Cristophe Lovis ◽  
Xavier Bonfils
Keyword(s):  
Radial Velocity ◽  
Time Scales ◽  
High Precision ◽  
Habitable Zone ◽  
Planet Detection ◽  
Solar Type ◽  
Physical Phenomena ◽  
Instrumental Precision ◽  
Observational Strategy ◽  
Different Time Scales

AbstractSpectrographs like HARPS can now reach a sub-ms−1 precision in radial-velocity (RV) (Pepe & Lovis 2008). At this level of accuracy, we start to be confronted with stellar noise produced by 3 different physical phenomena: oscillations, granulation phenomena (granulation, meso- and super-granulation) and activity. On solar type stars, these 3 types of perturbation can induce ms−1 RV variation, but on different time scales: 3 to 15 minutes for oscillations, 15 minutes to 1.5 days for granulation phenomena and 10 to 50 days for activity. The high precision observational strategy used on HARPS, 1 measure per night of 15 minutes, on 10 consecutive days each month, is optimized, due to a long exposure time, to average out the noise coming from oscillations (Dumusque et al. 2011a) but not to reduce the noise coming from granulation and activity (Dumusque et al. 2011a and Dumusque et al. 2011b). The smallest planets found with this strategy (Mayor et al. 2009) seems to be at the limit of the actual observational strategy and not at the limit of the instrumental precision. To be able to find Earth mass planets in the habitable zone of solar-type stars (200 days for a K0 dwarf), new observational strategies, averaging out simultaneously all type of stellar noise, are required.

scholarly journals Intercomparison of Global Sea Surface Salinity from Multiple Datasets over 2011–2018

2021 ◽  
Vol 13 (4) ◽  
pp. 811
Author(s):  
Hao Liu ◽  
Zexun Wei
Keyword(s):  
Time Scales ◽  
Correlation Coefficients ◽  
Dominant Mode ◽  
Sea Surface ◽  
Sea Surface Salinity ◽  
Surface Salinity ◽  
Ocean Data Assimilation ◽  
Multiple Datasets ◽  
Different Time Scales

The variability in sea surface salinity (SSS) on different time scales plays an important role in associated oceanic or climate processes. In this study, we compare the SSS on sub-annual, annual, and interannual time scales among ten datasets, including in situ-based and satellite-based SSS products over 2011–2018. Furthermore, the dominant mode on different time scales is compared using the empirical orthogonal function (EOF). Our results show that the largest spread of ten products occurs on the sub-annual time scale. High correlation coefficients (0.6~0.95) are found in the global mean annual and interannual SSSs between individual products and the ensemble mean. Furthermore, this study shows good agreement among the ten datasets in representing the dominant mode of SSS on the annual and interannual time scales. This analysis provides information on the consistency and discrepancy of datasets to guide future use, such as improvements to ocean data assimilation and the quality of satellite-based data.

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