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Rewrite rule

A made-up example of a developmental mapping may be presented using production (or rewrite) rules. [Pg.291]

Rewrite rules and interpretation (together acting as the developmental mapping) ... [Pg.291]

This simplistic example illustrates almost all core characteristics of developmental mappings (though of only the rewrite rules type) ... [Pg.291]

Additional pseudo-WLN rewrite rules would eliminate ring locant symbols which are followed by an empty substituent. [Pg.241]

On layer. 3, we find internal tool models - either as abstract rewriting rule specifications being executable by an interpreter, or as equivalent source code. Furthermore, we find the models belonging to the methodological construction of integrators (link types, link templates, TOG rules), which were discussed above. The document contents models at the moment are also found on this level, they should be a part of the application domain model. [Pg.619]

Agents act on the environment according to action rules, which are pure rewriting rules used sequentially. In each time unit, each agent uses one action rule which is chosen from a set depending on the current state of the agent. [Pg.56]

A more principled approach is to define a general rule format, a mle processor or engine and a clearly defined set of rules. This at least has the advantage of engine/rule separation meaning that the way the rules are processed and the rules themselves are separate, which helps with system maintenance, optimisation, modularity and e q)ansion to other languages. One common type of rule is the context-sensitive rewrite rule, which takes the form... [Pg.84]

Popular classifiers include context-sensitive rewrite rules, decision lists, decision trees, naive Bayes classifiers and HMM taggers. [Pg.110]

Most approaches use context sensitive rewrite rules of the type introduced in Section 5.2.4. Recall that these are of the form... [Pg.219]

The statistieal approach has been somewhat of a latecomer to grapheme-to-phoneme conversion, perhaps because of the success of other data driven techniques such as pronunciation by analogy or the impression that context-sensitive rewrite rules are adequate so long as they can be automatically trained, e.g. by a decision tree. In recent years however a number of approaches have been developed which give a properly statistical approach. [Pg.222]

Figure 7.12 A complete grammar for syllable structure using classical finite-state-grammar rewrite rules. Figure 7.12 A complete grammar for syllable structure using classical finite-state-grammar rewrite rules.
Kim (2005) has objected to pictures of the epistemology of theoretical identity of the sort that I have been sketching. He says that identities such as freezing = lattice formation serve only as rewrite rules, and they are not implicated in the explanatory activity (p. 145). He allows that identities are important in the derivation of explanatory and causal claims mentioned... [Pg.123]

In this paper, we present a method based on schematization to deal with this kind of non-termination problem. Schematization is a method for finitely representing infinite sets of objects (Gramlich 1988, Chen Hsiang 1995, Salzer 1992, Comon 1992, Kirchner 1989) terms, rewrites rules, substitutions,. .. etc. If some infinite sets can be represented finitely and if algebraic operations can be performed on these finite representations, then the problem of non-termination can be avoided. The abstract machines we consider are those that present a cyclic behavior starting from any state of the ma-... [Pg.219]

In this section we illustrate our method on three different examples. Each example is chosen to demonstrate one particular aspect of the method. The first one shows that the generalization at the initial state is sufficient. Also, we give an outline of the unification algorithm of p-terms (Chen Hsiang 1995). The second one illustrates the use of rewriting rules to obtain a regular structure. For this example, it also suffices to generalize the initial state. [Pg.228]

We define the following rewriting rules to give a partial meaning to the function symbols ... [Pg.229]

Our hardware model terms are of first order. On the other hand it is very useful to be able to deal with higher order logic (mostly second order) in order to develop and prove hardware model term rewriting rules and to support definitions by using higher order patterns. [Pg.294]

Gasse F, Sattler U, Haarslev V (2008) Rewriting rules into STZOIQ axioms. Poster at 21st international workshop on DLs... [Pg.108]

There are atomic transformation rules, such as unfolding (which mimics the execution mechanism of the target ImguagQ), folding (which performs the reverse transformation of unfolding), universal instantiation, abstraction, predicate definition, and various (possibly conditional) rewrite rules for the target language and the lemmas of the application domain. [Pg.18]

K. P. Jantke and U. Goldammer. Inductive synthesis of rewrite rules as program synthesis. In [Clement and Lau 92], pp. 65-68. [Pg.227]

Proof Since the string can be extended by cpy during the recombination processes in eAIR, with this proof we do not need to reserve as many copies of an encoded TM rule as we did in Theorem 2. Instead, an encoding of a rewriting rule is duplicated by cpy before it is used. Then one copy of the encoding is used by a translocation operation while another copy is reserved as initial state. In a manner similar to Theorem 2, for a Turing machine M we construct an extended intramolecular recombination system... [Pg.102]

The encoding of %ipviq%i is still kept in program if u appears again in the data. Thus, the rewriting rule u —> w is simulated in three subsequent Steps... [Pg.103]

The rewriting rules of M are simulated in Gm correctly by the subsequent repeats of the recombination Steps 1-3, and the next string can be reached ... [Pg.103]


See other pages where Rewrite rule is mentioned: [Pg.292]    [Pg.265]    [Pg.56]    [Pg.103]    [Pg.284]    [Pg.220]    [Pg.231]    [Pg.166]    [Pg.93]    [Pg.93]    [Pg.102]    [Pg.103]   


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Context-sensitive rewrite rule

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