Non-sequential Behaviour of Dynamic Nets

Author(s):  
Roberto Bruni ◽  
Hernán Melgratti
Keyword(s):  
1985 ◽  
Vol 49 (1) ◽  
pp. 317-324 ◽  
Author(s):  
G. Ballardini ◽  
A. Faccani ◽  
M. Fallani ◽  
S. Berti ◽  
V. Vasi ◽  
...  

Terminology ◽  
2014 ◽  
Vol 20 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Mojca Pecman

In Languages for Specific Purposes (LSPs), variation and term formation are often seen as related phenomena, variation being interpreted as a sign of neology. In scientific discourse though, variation can play specific roles, thereby giving a different dimension to neology as a linguistic process than generally implied in terminological studies. The well-known referential function, consisting of creating new designations for naming new concepts, can be set aside in scientific texts to create space for what we define as the cognitive function: a situation where a scientist purposefully employs term variation as a means for theorising and better explaining a given concept. We argue that Halliday’s “grammatical metaphor” and “given-new” information theory provide an interesting background for understanding scientific term formation processes, and the ensuing issue of terminological variation. Consequently, in this article, we try to place the phenomenon of neology and of terminological variation within the framework of discourse analysis, by devising a method for probing sequential behaviour of terminological variants across text sections. Additionally, this study aims to improve building lexical resources within the ARTES terminological and phraseological multilingual database project, which serves as a support for developing lexicographical and translational skills in students in specialised translation.


1992 ◽  
Vol 21 (399) ◽  
Author(s):  
Madhavan Mukund

<p>Labelled transition systems can be extended to faithfully model concurrency by permitting transitions between states to be labelled by a collection of actions, denoting a concurrent step, We can characterize a subclass of these <em>step transition systems</em>, called PN-transition systems, which describe the behaviour of Petri nets.</p><p>This correspondence is formally described in terms of a coreflection between a category of <em>PN</em>-transition systems and a category of Petri nets.</p><p>In this paper, we show that we can define subcategories of <em>PN</em>-transition systems whose objects are <em> safe PN-transition systems and elementary PN-transition systems</em> such that there is a coreflection between these subcategories and subcategories of our category of Petri nets corresponding to safe nets and elementary net systems.</p><p>We also prove that our category of elementary <em>PN</em>-transition systems is equivalent to the category of (sequential) <em> elementary transition systems</em> defined by Nielsen, Rozenberg and Thiagarajan, thereby establishing that the concurrent behaviour of an elementary net system can be completely recovered from a description of its sequential behaviour. Finally, we establish a coreflection between our category of safe <em>PN</em>-transition system and a subcategory of <em>asynchronous transition systems</em> which has been shown by Winskel and Nielsen to be closely linked to safe nets.</p>


2003 ◽  
Vol 56 (3b) ◽  
pp. 301-320 ◽  
Author(s):  
Douglas G. Wallace ◽  
Stephen B. Fountain

Hypotheses ranging from subsymbolic to symbolic have been proposed to account for rat sequential behaviour, and in the subsymbolic domain alone there are multiple proposed subsymbolic processes or factors thought to affect serial behaviour. A behavioural study and computer simulations were conducted to evaluate these hypotheses, and a new computational associative model based on pairwise associations and generalization was evaluated. Seven 3-element sequences were selected for study that systematically (1) varied sequence discriminability, (2) varied reward magnitude, and (3) manipulated the order of food quantities. Neither element discriminability nor response enhancement subsymbolic processes in isolation were able to account for the behavioural data; however, simulations from the computational model known as the sequential pairwise associative memory (SPAM) model with a log-linear mapping of stimulus dimension items to food quantities correlated well with the behavioural data. SPAM accounts for differential element anticipation in different sequences by appealing to pairwise association of sequence events and generalization between cues as the principal factors mediating pattern tracking in three-element sequences.


Sadhana ◽  
1998 ◽  
Vol 23 (2) ◽  
pp. 151-165 ◽  
Author(s):  
A K Raina ◽  
A G Valavi
Keyword(s):  

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