Table 2 Attributes of a generic policy description Attribute Description Policy Encapsulates all necessary information for the processing of rules Target Responsible for the matching (selection) during policy evaluation.
While this dissociation suggests different processing mechanisms for regular and irregular formations, the LAN is a very indirect evidence for a distinct neural substrate for rule application because studies to date have focused on the processing of violations of rules rather than on rule application per se.
The latter area was specifically associated with the processing of musical rules and violations of conventional chord successions [72], [80], [81].
Modern connectionist theories argue that learning, representation, and processing of grammatical rules and lexical items are the product of a network, which consists of a large number of simple inter-connected processing units, the connections of which are continuously adjusted on the basis of statistical contingencies in the environment [16], [18], [19].
Conversely, literature on clinical reasoning has demonstrated that clinicians are not able to follow purely rational, highly formal and logical thinking due to inherent limitations of human cognitive capacity that prevents storage, as well as processing of multiple rules in short periods of time [8] [9].
Although one can use the profile in any general-purpose UML modeling tool, biologists can benefit from the development of domain-specific tools that support not only the visualization and editing of models, but also automatic processing of integrity rules representing defined ontological constraints over produced models.
This paper proposes an ontology and rule-based framework for the development of business domain applications, which includes semantic processing of externalized business rules and to some extent externalization of application logic.
Analyses of the response latencies suggested that this effect of ibotenic acid was due to impairments in the animals' ability to switch from the processing of the response rules for signal trials to those for non-signal trials.
The third step involves manual post-processing of the rules extracted by the decision tree algorithm.
Therefore, it is necessary to help the user in validation task by implementing a preliminary stage of post-processing of extracted rules.
