An Application programming Interface for human-level AGI systems is proposed, aimed at bridging the gap between proto-AGI R&D systems and practical AI application development. the API contains simply formalized qu...
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the proceedings contain 58 papers. the special focus in this conference is on Evolutionary computation and optimization, Intelligent systems, Applications, Classification and clustering methods, Soft computing methods...
ISBN:
(纸本)9783319079943
the proceedings contain 58 papers. the special focus in this conference is on Evolutionary computation and optimization, Intelligent systems, Applications, Classification and clustering methods, Soft computing methods in manufacturing and management systems, Applications of intelligent methods for security and Infrastructure and network security. the topics include: A strength pareto approach and a novel formulation in the reporting cells planning;a new iterative approach for finding nearest neighbors using space-filling curves for fast graphs visualization;classification via nearest prototype classifier utilizing artificial bee colony on CUDA;a proposal of good practice in the formulation and comparison of meta-heuristics for solving routing problems;soft computing meta models for the failure prediction of T-stub bolted connections;an overall performance comparative of GA-PARSIMONY methodology with regression algorithms;evolutionary simulation of complex networks’ structures with specific functional properties;inventory routing problem with stochastic demand and lead time;hybrid evolutionary workflow scheduling algorithm for dynamic heterogeneous distributed computational environment;a bi-objective harmony search approach for deploying cost-effective multi-hop communications over large-area wildfires;hyperspectral image analysis based on quad tree decomposition;gaussian process-based inferential control system and effect of initial conditioning of reinforcement learning agents on feedback control tasks over continuous state and action spaces.
this paper introduces a method based on graph theory and operations research techniques to optimize learning path discovery. In this method, learning objects are considered as nodes and competencies as vertices of a l...
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this paper introduces a method based on graph theory and operations research techniques to optimize learning path discovery. In this method, learning objects are considered as nodes and competencies as vertices of a learning graph. A first step consists in reducing the solution space by obtaining an induced subgraph H. In a second step, the search of an optimal learning path in H is considered as a binary integer programming problem which we propose to solve using an exact method based on the well-known branch-and-bound algorithm. the method detailed in the paper takes into account the prerequisite and gained competencies as constraints of the optimization problem by minimizing the total competencies needed to reach the learning objective.
In recent years, the rapid development of smartphone subscribers has played an important role in the trend of moving applications from computers to mobile devices. there are thousands of new mobile applications upload...
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this paper shows a preliminary report regarding classification techniques based on argumentation theory in artificial intelligence. A classification problem is defined on a directed graph, i.e., an argumentation frame...
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ISBN:
(纸本)9781479942749
this paper shows a preliminary report regarding classification techniques based on argumentation theory in artificial intelligence. A classification problem is defined on a directed graph, i.e., an argumentation framework, where each node represents an argument and each edge an attack relation between connected arguments. A hypothesis space is defined by all possible argumentation consequences, i.e., extensions. A target argument is classified as justified or overruled, according to the best extensions minimizing errors with respect to training examples, i.e.,tuples of arguments and their correct classes. We give ideal downward and upward refinement operators for calculating hypotheses step by step. Algorithm analysis and performance evaluation are future work.
this paper discusses a multistage dynamic transportation allocation problem (DTAP) in a earth-rock transportation system under fuzzy environment, which is a multi-objective optimization process for minimizing total co...
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R [2] is a programming language primarily oriented to statistical and graphical analysis. Since R is an open source language, new functions of very different fields are continuously appearing all around the world. Ope...
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Demand management has been one popular topic in supply chain management, but there is little attention on the demand forecasting in customized items. this study determines customized levels and proposes the ordering p...
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ISBN:
(纸本)9781479953721
Demand management has been one popular topic in supply chain management, but there is little attention on the demand forecasting in customized items. this study determines customized levels and proposes the ordering policies of standard and customized material, respectively. Furthermore, the model is tested to be reasonable using real demand data collected from a manufacturing firm in the last three years.
Embedded electrical systems for passenger vehicles are highly complex distributed systems with varying system boundaries. the surge towards further electrification of vehicles demands the deployment of high voltage sy...
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ISBN:
(纸本)9780769551944
Embedded electrical systems for passenger vehicles are highly complex distributed systems with varying system boundaries. the surge towards further electrification of vehicles demands the deployment of high voltage systems that provide propulsion through an electric motor as part of a hybrid electric or pure electric drivetrain. this demands additional care and robust deployment to ensure the safety of the end user and the environment around them. Exhaustive testing is not feasible for large systems and the use of formal approaches can be restrictive. In the presented work a combinatorial test approach is applied to a real Hybrid Electric Vehicle control system as part of a hardware-in-the-loop test system. 2-way, 3-way and mixed strength up to 4-way testing is carried out. the concept of CAN main and local is devised to intercept CAN messages and replace them withthe generated combinatorial tests using the HIL simulator's own processor to assure real-time testing. Early results indicate that the approach is effective in exposing incidents in system behavior not normally found during traditional functional testing.
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