Advances in Applied Artificial Intelligence: 19th by Fausto Giunchiglia (auth.), Moonis Ali, Richard Dapoigny PDF

By Fausto Giunchiglia (auth.), Moonis Ali, Richard Dapoigny (eds.)

ISBN-10: 3540354530

ISBN-13: 9783540354536

“Intelligent layout and complicated challenge fixing are twined like spouse and husband.” within the present aggressive international commercial surroundings there are numerous pr- lems which desire clever platforms expertise for optimum strategies. The principal subject matter of the nineteenth overseas convention on commercial, Engineering & different functions of utilized clever platforms (IEA/AIE 2006) is to target the learn methodologies and sensible implementations of those methodologies for clever ideas of difficulties in real-world purposes. we're happy to give the papers in those complaints which conceal va- ous points of functions of utilized clever structures. We obtained greater than 330 papers from many nations and every paper used to be reviewed by means of not less than reviewers. simply 134 papers have been chosen for presentation within the basic and targeted periods. the traditional periods conceal the next issues: making plans and scheduling, multi-agent structures, fuzzy common sense, info mining and information d- covery, genetic algorithms, determination aid, specialist structures, neural networks, machine imaginative and prescient, speech attractiveness, structures for real-life purposes, computing device studying, model-based reasoning, heuristic seek, and data engineering. We additionally equipped a number of unique periods within the parts of bioinformatics, - tology, wisdom discovery, clever keep watch over platforms, clever business s- tems, and purposes of information mining. The convention software additionally integrated 4 invited academics given via Fausto Giunchiglia, Erik Sandewall, Sylviane Gentil and Trevor Martin.

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Extra info for Advances in Applied Artificial Intelligence: 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006. Proceedings

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Its origin can be traced to the idea of the population learning algorithm (PLA) and hence it is further on called the PLA-Team. Population learning algorithm was proposed in [4] as yet another population-based method, which can be applied to support solving difficult decision-making and optimization problems. Thus far PLA has been effectively applied to solving a variety of difficult scheduling problems. html)including, for example permutation flowshop scheduling, due-date scheduling or task scheduling on a single machine with total weighted tardiness as a criterion [5], [6].

The proposed team of agents consists of a number of autonomous and asynchronous agents of n kinds, where n is a number of learning and improvement procedures employed. The number of agents of each kind is not limited and depends on the availability of computational resources. There is, however an identical number of agents of each kind within a population of agents. An additional element of the proposed system is a common memory which contains a number of individuals representing feasible solutions to the problem at hand.

For many engineering applications, the results must be abstracted in terms of the functions (teleological approach). The functional knowledge is an expression of the teleological knowledge on which the system can reason. Any functional concept is described by a goal definition which is related to the intentional aspect of function [11] and some possible actions (at least one) in order to fulfill the intended goal [8] [10]. Inside a given service, the causal decomposition of a high-level goal is exclusively an AND decomposition.

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Advances in Applied Artificial Intelligence: 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006. Proceedings by Fausto Giunchiglia (auth.), Moonis Ali, Richard Dapoigny (eds.)


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