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International Conference on Advances in Production Management Systems, APMS 2010

作者： Teles, Vasco Restivo, Francisco University of Porto Faculty of Engineering Portugal MIT Portugal Program Engineering Design and Advanced Manufacturing Portugal LIACC Artificial Intelligence and Computer Science Laboratory Austria

ISBN: (纸本)9788864930077

Based on network theories, dynamic systems were previously thought to act randomly. However, it is now understood that they present particular signals pointing to characteristics of order and auto-organization (Barabási 2007). Discovering those signals of interaction within complex networks is then a challenge to these studies. In this work, while doing an analogy to the automotive industry, we explore the possibility to apply phase space tools to recognize patterns in a plot of data in dynamic systems, where deterministic chaos behaviour may occur. This behaviour is mainly related to decision-making within complex networks, where a tipping point situation can lead to dramatic changes in the otherwise stable system.

关键词： Automotive industry

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Individual-based simulation of sexual selection: A quantitative genetic approach

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Procedia computer Science 2010年第1期1卷 2003-2011页

作者： D. van Dijk P.M.A. Sloot J.C. Tay M.C. Schut Computational Science University of Amsterdam Sciencepark 107 1098 XG Amsterdam The Netherlands Evolutionary and Complex Systems Program School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore Department of Artificial Intelligence Vrije Universiteit Amsterdam 1081 HV Amsterdam The Netherlands

Sexual selection has been mathematically modeled using quantitative genetics as well as population genetics. Two-locus simulation models have been used to study the evolution of male display and female preference. We present an individual-based simulation model of sexual selection in a quantitative genetic context. We show that under certain conditions Fisherian self-reinforcing sexual selection takes effect, predicted by Lande’s analytic model of female choice. We also show that the dynamics involved in the co-evolution of male display and female preference is much more complex than mathematics would predict. We therefore argue that the study of sexual selection through individual-based simulation could give new and more realistic insight into a world dominated by overly simplified equations.

关键词： Sexual selection Individual-based modeling Agent-based modeling

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Conditional IMS Learning Design Generation using User Modeling and Planning Techniques

Conditional IMS Learning Design Generation using User Modeli...

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IEEE International Conference on Advanced Learning Technologies

作者： Hernandez, Jorge Baldiris, Silvia Santos, Olga C. Fabregat, Ramon Boticario, Jesus G. System Engineering Program Corporación Universitaria de la Costa Colombia Institute of Informatics and Aplications (IIiA) Universidad de Girona Spain ADeNu Research Group Artificial Intelligence Department Computer Science School Spain

ISBN: (纸本)9781424444823

Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the main issues in a competence based eLearning process is to deliver personalized instructional designs adjusted to both 1) intrinsic characteristics of users (i.e. learning styles) and 2) the desired and achieved competences in the learning process (i.e. specific and generic competences). This delivery includes the adaptation of the content and the activities in a learning scenario based on a dynamic user model that evolves according to user interactions. In this paper, an approach to support Conditional Plans Generation (IMS Learning Designs) in the context of a virtual learning environment is presented The process is supported by a pervasive usage of standards and specifications (IMS family of specifications) in conjunction with an integral user modeling.

关键词： Specifications

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Conditional IMS Learning Design Generation Using User Modeling and Planning Techniques

Conditional IMS Learning Design Generation Using User Modeli...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Jorge Hernandez Silvia Baldiris Olga C. Santos Ramón Fabregat Jesus G. Boticario System Engineering Program Corporación Universitaria de la Costa Colombia Institute of Informatics and Aplications (IliA) Universidad de Girona Spain ADeNu Research Group Artificial Intelligence Department Computer Science School UNED (Spanish National University of Distance Education) Spain aDeNu Research Group Computer Science School UNED

Active modeling is required in learning settings to cope with the dynamic evolution of the knowledge, since learners competences evolves over time as they participate in the course activities. Moreover, one of the main issues in a competence based eLearning process is to deliver personalized instructional designs adjusted to both 1) intrinsic characteristics of users (i.e. learning styles) and 2) the desired and achieved competences in the learning process (i.e. specific and generic competences). This delivery includes the adaptation of the content and the activities in a learning scenario based on a dynamic user model that evolves according to user interactions. In this paper, an approach to support Conditional Plans Generation (IMS Learning Designs) in the context of a virtual learning environment is presented. The process is supported by a pervasive usage of standards and specifications (IMS family of specifications) in conjunction with an integral user modeling.

关键词： Learning artificial intelligence Process planning Monitoring Technology planning Design engineering Knowledge engineering Systems engineering and theory Informatics computer science

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Fast lane detection with Randomized Hough Transform

Fast lane detection with Randomized Hough Transform

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International Symposium on Information Technology, ITSim

作者： Azali Saudi Jason Teo Mohd Hanafi Ahmad Hijazi Jumat Sulaiman Centre for Artificial Intelligence Computer Science Program School of Engineering & Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia Computer Graphics Program School of Science & Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

Lane detection is an essential component of autonomous mobile robot applications. Any lane detection method has to deal with the varying conditions of the lane and surrounding that the robot would encounter while moving. Lane detection procedure can provide estimates for the position and orientation of the robot within the lane and also can provide a reference system for locating other obstacles in the path of the robot. In this paper we present a method for lane detection in video frames of a camera mounted on top of the mobile robot. Given video input from the camera, the gradient of the current lane in the near field of view are automatically detected. Randomized Hough Transform is used for extracting parametric curves from the images acquired. A priori knowledge of the lane position is assumed for better accuracy of lane detection.

关键词： Transforms Roads Pixel Robustness Image edge detection Vehicles Equations

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The Third International Conference on human-robot interaction

The Third International Conference on human-robot interactio...

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作者： Fong, Terry Dautenhahn, Kerstin Scheutz, Matthias Demiris, Yiannis Intelligent Robotics Group NASA Ames Research Center Department of Artificial Intelligence School of Computer Science University of Herfordshire Herfordshire United Kingdom Adaptive Systems Research Group University of Herfordshire Herfordshire United Kingdom Department of Cognitive Science Computer Science and Informatics Cognitive Science Program Indiana University Bloomington IN United States Intelligent Robotics Team Department of Electrical Engineering Imperial College London London United Kingdom

The third international conference on Human-Robot Interaction (HRI-2008) was held in Amsterdam, The Netherlands, March 12-15, 2008. The theme of HRI-2008, "living with robots," highlights the importance of the technical and social issues underlying human-robot interaction with companion and assistive robots for long-term use in everyday life and work activities. More than 250 researchers, practitioners, and exhibitors attended the conference, and many more contributed to the conference as authors or reviewers. HRI-2009 will be held in San Diego, California, from March 11-13, 2009. Copyright © 2008, Association for the Advancement of artificial intelligence. All rights reserved.

关键词： Human robot interaction

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Fuzzy number-based hierarchical fuzzy system 1

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7th International Conference on artificial intelligence and Soft Computing, ICAISC 2004

作者： Gaweda, Adam E. Scherer, Rafal Kidney Disease Program School of Medicine University of Louisville Louisville KY 40202 United States Dept. of Computer Engineering Czestochowa Univ. of Technology Al. Armii Krajowej 36 42-200 Czestochowa Poland Dept. of Artificial Intelligence WSHE Univ. in Lodz ul. Rewolucji 1905 nr 64 Lódź Poland

Hierarchical fuzzy systems allow for reducing number of rules and for prioritization of rules. To retain fuzziness, intermediate signals should be fuzzy. Transferring fuzzy signal is computationally demanding. Special... 详细信息

ISBN: (数字)9783540248446

ISBN: (纸本)9783540221234

关键词： Hierarchical systems

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Decision-aid system for survivability of damaged conventional military submarines

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NAVAL ENGINEERS JOURNAL 2002年第4期114卷 21-30页

作者： Lee, D Lee, J Lee, KH DONGKON LEE has served as a research engineer in Korea Research Institute of Ships and Ocean Engineering(KRISO)/KORDI for 19 years. He obtained his Ph.D in naval architecture at Pusan National University Korea in 1995. His current research interests include artificial intelligence maritime safety damage survivability evacuation and computer simulation. He is a member of the American Society of Naval Engineers Society of Naval Architects of Korea Korea Information Science Society and Korea Intelligent Information System. JAEYONG LEE has served as an engineering duty officer a commander in Korea Naval Sea Systems Command for 20 years. He graduated from Korea Naval Academy in 1979 with a bachelor of science degree in electric engineering. He received a master of engineering degree in industrial engineering from Yeonse University in 1997 and a master of engineering degree in naval architecture from Chungnam National University in 2000. His current research interests include design and safety of submarine. KYUNG-HO LEE has served as a research engineer in Korea Research Institute of Ships and Ocean Engineering(KRISO)/KORDI for 11 years. He obtained his Ph.D in naval architecture at Seoul National University in 1998. His current research interests include artificial intelligence maritime safety and concurrent engineering. He is a member of the Society of Naval Architects of Korea

AEven small leakage in submarines can lead to serious consecutive damage, since they operate under high water pressure. Such leakage including damage to piping and the bull eventually result in human casualties and loss of expensive equipment as well as the loss of combat capabilities. In such cases, a decision-making system is necessary to respond immediately to the damage in order to maintain the safety or the survival of the submarine. So it is necessary to have an automatic system that can generate responses and give advice to the operator on bow to make decisions to maintain the survivability of the damaged vessel. In this paper a knowledge-based decision support system for submarine safety is developed. The domain knowledge is acquired from submarine design documents, design expertise, and interviews with operators. The knowledge consists of responses regarding damage of the pressure bull and piping systems. Expert elements are deduced to obtain the decision from the knowledge base, and the system makes recommendations on bow to cope with damage to the bull and piping and whether the submarine should stay in the sea or to surface. It is demonstrated that the developed system is well simulated to the real situation through sample applications.

关键词： Submarines

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Design decision support system for the engineering/re-engineering of complex naval systems

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NAVAL ENGINEERS JOURNAL 1997年第4期109卷 23-33页

作者： Graham, JH Ragade, RK Shea, J James H. Graham:is the Henry Vogt Professor of computer science and engineering at the University of Louisville. Previous professional employment includes positions at Rensselaer Polytechnic Institute and General Motors Corporation. He received his master's and doctoral degrees at Purdue University and his bachelor's degree at Rose-Hulman Institute of Ethnology. His research interests include artificial intelligence robotics and paraliel computing. Rammohan K. Ragade:is professor of engineering mathematics and computer science at the University of Louisville. He received his Ph.D. from the Indian Institute of Technology at Kampur in 1968. He has been a faculty member at the University of Waterloo and held an engineering position with Bell Northern Research. His research interests include human-computer interaction decision support systems object-oriented simulation and modeling distributed database systems and fuzzy logic. John G. Shea Jr.:served until 1995 as a project manager in the Phalanx Engineering Section of Naval Surface Warfare Center Crane Division Louisville Station. He received his bachelor's and master's degrees from the Speed Scientific School at the University of Louisville. He was a member of the American Society of Naval Engineers.

Hybrid simulation includes both functional computer software models and actual hardware subsystems operating as an integrated whole. A ''hot test bed'' or a ''hybrid simulator-emulator'' enables design engineers to evaluate conceptual models in a more realistic real-lime context, but places increased cognitive demands on the designer. This paper describes an architecture, and results from a prototype implementation, for a design decision support system to allow a designer to make more productive and cost effective use of a test bed system.

关键词： Decision support systems

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AN AI-BASED DECISION SUPPORT SYSTEM FOR NAVAL SHIP DESIGN

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NAVAL ENGINEERS JOURNAL 1992年第3期104卷 156-165页

作者： CHOU, YC BENJAMIN, CO Yu-Chao Chou:has served as an engineering officer in the Republic of China Navy for 20 years. He graduated from the Chung Chen Institute of Technology in 1972 with a bachelor of science degree in naval architecture. He received a master of engineering degree in naval architecture and marine engineering from the University of Michigan in 1977. He obtained his Ph.D. in engineering management at the University of Missouri-Rolla in 1991. His current research interests include artificial intelligence project management and concurrent engineering. He is a member of the American Society of Naval Engineers and the Institute of Industrial Engineers. Colin O. Benjamin:is an associate professor of engineering management at the University of Missouri-Rolla and has had several years of international teaching industrial and consulting experience. He received a Ph.D. in industrial engineering from the University of the West Indies an MBA from the Cranfield Institute of Technology U.K. and an M.Sc. in engineering production and management from the University of Birmingham U.K. His current research interests include artificial intelligence (AI) multi-criteria decision making (MCDM) facilities planning and computer integrated manufacturing (CIM). He is a Senior Member of the Institute of Industrial Engineers and the Society of Manufacturing Engineers.

Naval ship design is a complex, iterative decision-making process that requires not only qualitative reasoning and quantitative computations, but also effective handling of massive amounts of information. The development of a systematic procedure in the form of an interactive Decision Support System (DSS) incorporating artificial intelligence (AI) techniques can assist in improving the design process. The DSS reported in this paper integrates conventional naval ship design application software with an expert system. Modeling techniques such as a spreadsheet, a database management system, and graphic display capability are incorporated as well. This DSS facilitates "what-if" analysis of design problems and assessment of the trade-offs between performance and cost. The DSS will aid rapid generation of design alternatives and facilitate their evaluation. A final recommendation is made based on multiattribute decision analysis using the straightforward points allocation method and the analytic hierarchy process. During a typical consultation process, the user is prompted for inputs to the naval ship design process and is provided with a wide range of reports in graphical and numerical form. During a structured system evaluation, the DSS displayed considerable accuracy, flexibility, speed, user-friendliness, and cost-effectiveness. The reliability and validity of the system were also confirmed. These evaluation procedures provide a replicable methodology for verification and validation of this type of AI-based decision support system.

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