Titlebook: Current Topics in Artificial Intelligence; 11th Conference of t Roque Marín,Eva Onaindía,José Santos Conference proceedings 2006 Springer-V

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书目名称Current Topics in Artificial Intelligence读者反馈学科排名

beta-carotene

legitimate

Preferences in Answer Set Programmingg, a promising declarative programming paradigm. We show how these methods can be used in a variety of different applications such as configuration, abduction, diagnosis, inconsistency handling and game theory.

PTCA635

3D Robot Mapping: Combining Active and Non Active Sensors in a Probabilistic Frameworkhe environment that can be incomplete and therefore the robot must work considering the uncertainty. Bayesian Units consider the uncertainty and allow the fusion of information from different sensors. In this paper a map reconstruction system in 3D based on Bayesian Units is presented. The reconstru

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A Flipping Local Search Genetic Algorithm for the Multidimensional 0-1 Knapsack Problemocess in order to locally improve the obtained individuals and also, a heuristic operator which computes problem-specific knowledge, based on the surrogate multipliers approach introduced in [12]. Experimental results show that our evolutionary algorithm is capable of obtaining high quality solution

dragon

A Hierarchical Pattern Matching Procedure for Signal Abstractions, into a computable description. Here it is endowed with a hierarchical capability through the definition of algorithms that recognize a set of findings over a signal, and aggregate them into a set of abstraction levels. We also present a heuristics that takes advantage of the continuity properties

dragon

A Scheduling Order-Based Method to Solve Timetabling Problems journey. The heuristic used to determine the priority for each train, takes into account the objective function of the problem. With this method, we try to explore different regions of the same search space as soon as possible so that the final user obtains a feasible solution in a reasonable compu

FUSE

Heresy

Adapting the Point of View for Behavior-Based Navigation. But often landmarks are difficult to be recognised by the robot; these difficulties are increased due to the morphology of the robot and its movements. Dynamic orientation of the camera’s parameters, fixing the attention of the visual system on relevant environmental features, can greatly improve

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