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Using propagation constraints implied by the models and behaviors of the systems, it generates comparative envisionments describing their differential dynamics in a qualitative manner.
To control this propagation, constraints are imposed based on the knowledge that biological structures like axons typically do not make abrupt turns, or suddenly enlarge or shrink; therefore the cross-sections of the same object on successive sections should be similar to each other in location, shape and size.
This paper describes how the information transfer supported by the simple and stereotyped song of a typical bird of the Brazilian Atlantic rainforest, the white-browed warbler, Basileuterus leucoblepharus (Aves: Passeriformes: Fringillidae: Parulini), is well matched to the acoustic propagation constraints of the rainforest and to the ecological requirements of this species.
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The proposed method consists of three components, propagation, constraint activation, and inner level evolution.
The gradient features which reflect the boundaries of objects are used as propagation constraint, including both horizontal and vertical gradients.
Rarely, propagation of constraints is enough to solve a constraint satisfaction problem.
Moreover, it provides a natural propagation of constraints over multiple levels of instantiation.
The presented framework is novel in its flexibility towards identifying the multilevel structure, the differentiation of relations often combined in other frameworks, and a natural propagation of constraints over multiple levels of instantiation.
The search abilities of the large neighborhood search and the constraint propagation abilities of constraint programming are combined to determine the feasibility of any proposed modification to the current solution.
A real-valued constraint propagation network unifies the representations of the model parameters, model constraints and feature constraints, and provides a simple and effective mechanism for accessing and updating parameter values.
The use of constraint propagation is the main feature of any constraint solver.
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