Showing papers on "Applications of artificial intelligence published in 2005"

Fault Diagnosis: Models, Artificial Intelligence, Applications

Abstract: Inevitably, reading is one of the requirements to be undergone. To improve the performance and quality, someone needs to have something new every day. It will suggest you to have more inspirations, then. However, the needs of inspirations will make you searching for some sources. Even from the other people experience, internet, and many books. Books and internet are the recommended media to help you improving your quality and performance.

Automated first order natural deduction

Abstract: We present a proof-searching algorithm for the classical first order natural deduction calculus and prove its correctness. For any given task (if this task is indeed solvable), a searching algorithm terminates, either finding a corresponding natural deduction proof or giving a set of constraints, from which a counter-example can be extracted. Proofs of the properties which characterize correctness of the searching algorithm are given. Based on a fully automatic goal-directed searching procedure, our technique can be efficiently applied as an automatic reasoning tool in a deliberative decision making framework across various AI applications.

The Future of AI -- A Manifesto

Abstract: The long-term goal of AI is human-level AI This is still not directly definable, although we still know of human abilities that even the the best present programs on the fastest computers have not been able to emulate, such as playing master-level go and learning science from the Internet Basic researchers in AI should measure their work as to the extent to which it advances this goal

Natural language processing

Abstract: Summary form only given Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas Until recently, the focus in AI applications in NLP was on knowledge representation, logical reasoning, and constraint satisfaction - first applied to semantics and later to the grammar In the last decade, a dramatic shift in the NLP research has led to the prevalence of very large scale applications of statistical methods, such as machine learning and data mining Naturally, this also opened the way to the learning and optimization methods that constitute the core of modern AI, most notably genetic algorithms and neural networks In this paper we give an overview of the current trends in NLP and discuss the possible applications of traditional AI techniques and their combination in this fascinating area

Spatial Models for Wide-Area Visual Surveillance: Computational Approaches and Spatial Building-Blocks

Abstract: Spatial models play a key role when interpreting a dynamic and uncertain world for a wide-area surveillance application. This paper presents two different views to illustrate the range of spatial models. First, we take a top-down look, where we survey various work relevant to the development of spatial models and how they have been used in AI applications. Then we take a more bottom-up look, starting with a promising spatial primitive to identify a useful foundation that can support visual surveillance applications.

Towards using first-person shooter computer games as an artificial intelligence testbed

Abstract: One trend in first-person shooter computer games is to increase programmatic access This allows artificial intelligence researchers to embed their cognitive models into stable artificial characters, whose competitiveness and realism can be evaluated with respect to human players However, plugging cognitive models in is non-trivial, since games are currently not designed with AI researchers in mind In this paper we introduce an intermediate architecture that fits between these game and the AI, and assess its feasibility by implementing it within the game Unreal Tournament 2004 Making such an architecture publicly available may potentially lead to improved quality of game AI

128 Nature and Scope of AI Techniques

Abstract: The field of computational intelligence (artificial intelligence) has evolved with the objective of developing machines that can think like humans. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, understanding, learning, and so on. Computational intelligence includes neural networks, fuzzy inference systems, global optimization algorithms, probabilistic computing, swarm intelligence and so on. This article introduces the fundamental aspects of the key components of modern computational intelligence.

An application of artificial intelligence to medical robotics

Abstract: In this paper an application of Artificial Intelligence (AI) to Medical Robotics is described. Namely, a specific AI technique is employed to generate a sequence of operations understandable by the control system of a robot which is to perform a semi-automatic surgical task. According to this technique, a planner is implemented to translate the "natural" language of the surgeon into the robotic sequence that should be executed by the robot. A robotic simulator has been implemented in order to test the planned sequence in a virtual environment. The planned sequence is then to be input to the medical robotic system, which will execute the surgical operation. The work described in this paper features a high level of originality, since no similar applications of AI to medical robotics could be found in the scientific literature.

Network Awareness and the Philadelphia Area Urban Wireless Network Testbed

Abstract: This paper overviews the Philadelphia Area Urban Wireless Network Testbed (PA-UWNT) project and several applications of artificial intelligence therein PA-UWNT is a research and development effort in mobile and ubiquitous computing, focusing on communication and collaboration between first responders and other emergency personnel Support systems in these environments face a number of challenges such as a lack of in-place infrastructure, frequent network disruptions, and limited bandwidth and power The Testbed, consisting of robust networked computing platforms along with access to public and private locations, enables the project to test, evaluate, and develop new approaches to effectively supporting users in these domains In this work, agents that reason on network state and available services in conducting information dissemination and collection tasks are proposed and evaluated

Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing

Abstract: Artificial intelligence (AI) has been in existence almost as long as computers. However, only recently have AI techniques been widely incorporated by companies to enhancetraditional business applications.Building Intelligent .NET Applications is an introduction to the world of Artificial Intelligence (AI) for .NET programmers. It is the first book to show professional .NET developers how to incorporate AI into their daily programming. In this accessible guide, developers will learn how to enhance both new and existing .NET applications with intelligent agents, data mining, rule-based systems, and speech processing.The author explores four of the most popular AI technologies by building real-world sample applications that readers can use as the basis for their own applications.Highlights include Applications that talk-critical for companies seeking to automate their call centers Speech-enabled mobile applications Multimodal speech applications Data-mining predictions, which uncover trends and patterns in large quantities of data Rule-based programming for applications that can be more reactive to their environments Multiple software agents that are able to keep remote users up to date Sample applications for Windows and the WebWith Building Intelligent .NET Applications, developers will learn the basic technologies of AI needed to create practical, time-saving enterprise applications.© Copyright Pearson Education. All rights reserved.

Intelligent manufacturing applications at Ford Motor Company

Abstract: There is a common misconception that the automobile industry is slow to adapt new technologies, such as artificial intelligence (AI), into the manufacturing sector. In reality, many of the earliest adaptations of AI were in the automotive sector where such diverse technologies as expert systems, neural networks, genetic algorithms, and fuzzy logic were among the first to be used. In this paper we present an overview of how AI and knowledge-based technologies are currently being applied at Ford Motor Company within the manufacturing arena. Some of the applications that is described include an AI-based approach for vehicle assembly process planning, an application of AI for ergonomics analysis and a system that utilizes machine translation to translate assembly build instructions for Ford assembly plants that do not use English as their primary language. We also discuss how specific technologies, such as natural language processing, controlled languages, and ontologies, can be used to effectively deal with different types of knowledge, both structured and unstructured, that are prevalent in the manufacturing environment. The automobile industry is among the most competitive in the entire world, and the use of advanced technologies, is essential in the ongoing struggle to prosper in the global marketplace.

Proving theorems of type theory automatically with TPS

Abstract: Reasoning plays an important role in many activities which involve intelligence, and it may be anticipated that automated reasoning will play a significant role in many applications of artificial intelligence. The importance of developing methods of automating reasoning has been recognized since the inception of research on artificial intelligence. One fruitful approach to this problem is to use the language and methods of symbolic logic. Since a great variety of problems can be expressed in symbolic logic, progress in developing general purpose reasoning tools based on symbolic logic has the potential to contribute to progress in many realms of artificial intelligence. Work on automated deduction using symbolic logic has been progressing steadily, but in recent years such work has been presented primarily at conferences on automated deduction (such as (Kirchner & Kirchner 1998; Ganzinger 1999; McAllester 2000; Voronkov 2002; Mayer & Pirri 2003; David Basin 2004)) rather than at conferences on artificial intelligence. While such work often focuses on proving theorems, it should be noted that procedures for automatically proving theorems can play crucial roles as inference mechanisms in more general automated reasoning tools. We provide a demonstration of the TPS automated Theorem Proving System. This system can be used to prove theorems of type theory, which is also known as higher-order logic and which includes first-order logic. In a practical sense type theory has greater expressive power than firstorder logic, and it is well suited to the formalization of various disciplines, including mathematics and fields which use mathematics. For example, inductive definitions can be expressed in a very simple and natural way in type theory. Also, in type theory one can quantify over functions, such as functions mapping states to states. Our demonstration includes explanations of the notations used by TPS, which are based on a formulation of type theory (the typed λ-calculus) which was introduced by Alonzo Church (Church 1940) and is explained further in the text (Andrews 2002). TPS has been developed over several decades in collaboration with Dale Miller, Frank Pfenning, Sunil Issar, Carl Klapper, Dan Nesmith, Hongwei Xi, Matthew Bishop, and Chad E. Brown. TPS produces formal proofs (in natural de-

Web intelligence meets brain informatics: an impending revolution in WI and brain sciences

Abstract: Web Intelligence (WI) is a new direction for scientific research and development that explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-empowered systems, services, and environments [1,8,9]

Information-oriented design and game AI

Abstract: Information is a resource that every AI relies on to operate effectively. Although information influences the capabilities and performance of AIs, it is not treated as a design issue. Changing the information available to an AI can potentially enhance or cripple its performance. More direct evaluation of issues such as information selection and acquisition can improve the performance of existing AI implementations. The influence of information on AI behaviour is examined with an emphasis on virtual worlds and game AI, as this domain provides both an effective research environment and opportunities for tangible improvements to AI behaviour.

Game AI : The Shrinking Gap Between Computer Games and AI Systems

Abstract: The introduction of games for benchmarking intelligent systems has a long tradition in AI (Artificial Intelligence) research. Alan Turing was one of the first to mention that a computer can be considered as intelligent if it is able to play chess. Today AI benchmarks are designed to capture difficulties that humans deal with every day. They are carried out on robots with unreliable sensors and actuators or on agents integrated in digital environments that simulate aspects of the real world. One example is given by the annually held RoboCup competitions, where robots compete in a football game but also fight for the rescue of civilians in a simulated large-scale disaster simulation. Besides these scientific events, another environment, also challenging AI, originates from the commercial computer game market. Computer games are nowadays known for their impressive graphics and sound effects. However, the latest generation of game engines shows clearly that the trend leads towards more realistic physics simulations, agent centered perception, and complex player interactions due to the rapidly increasing degrees of freedom that digital characters obtain. This new freedom requests another quality of the player’s environment, a quality of ambient intelligence that appears both plausible and in real time. This intelligence has, for example, to control more than $40$ facial muscles of digital characters while they interact with humans, but also to control a team of digital characters for the support of human players. This article emphasizes the current difference between AI systems and digital characters in commercial computer games and emphasizes the advantages that arise if shrinking the gap between them. We sketch some methods currently utilized in RoboCup and relates them to methods found in commercial computer games. We show how methods from RoboCup might contribute to game AI and improve both the performance and plausibility of its digital characters. Furthermore, we describe state-of-the-art game engines and discuss the challenge but also opportunity they are offering to AI research.

Autonomous characters in virtual environments: The technologies involved in artificial life and their affects on perceived intelligence and playability of computer games

Abstract: Computer games are viewed by academics as un֊grounded hack and patch experiments. "The industry lacks the formalism and requirement for a "perfect" solution often necessary in the academic world " [Woob]. Academic Artifical Intelligence (AI) is often viewed as un-implementable and narrow minded by the majority of ทon-AI programmer. "Historically, AI tended to be focused, containing detailed problems and domain-specific techniques. This focus makes for easier study - or engineering - of particular solutions. " [СһаОЗ .By implementing several well known AI techniques into the same gaming environment and judging users reactions this project aims to make links between the academic nature of AI, as well as investigate the nature of practical implementation in a gaming environment. An online Java implemented version of the 1970'ร classic Space Invaders has been developed and tested, with the Aliens being controlled by 6 different approaches to modelling AI functions. In total information from 334 individuals games was recorded. Different types of games AI can create highly varied gaming experience as highlighted by the range of values and high standard deviation values seen in the results. The link between complex behaviour, complex control systems and perceived intelligence was not supported. A positive correlation identified between how fun the users found the game and how intelligent they perceived the Aliens to be, would seem to be logical. As games get visually more and more impressive, the need for intelligent characters cannot be denied because it is one of the few way in which games can set themselves apart from the competition. Conclusions identified that computer games must remain focussed on their end- goal, that of producing a fun game. Whilst complex and clever AI can help to achieve it, the AI itself can never overshadow the end result.

Innovations in Applied Artificial Intelligence. 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005, Proceedings

Abstract: Invited Contributions- Applications of Knowledge Discovery- Spoken Language Communication with Machines: The Long and Winding Road from Research to Business- Computer Vision- Motion-Based Stereovision Method with Potential Utility in Robot Navigation- Object Tracking Using Mean Shift and Active Contours- Place Recognition System from Long-Term Observations- Real-Time People Localization and Tracking Through Fixed Stereo Vision- Face Recognition by Kernel Independent Component Analysis- Head Detection of the Car Occupant Based on Contour Models and Support Vector Machines- A Morphological Proposal for Vision-Based Path Planning- A New Video Surveillance System Employing Occluded Face Detection- Image Analysis- Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases- Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching- Robust Character Segmentation System for Korean Printed Postal Images- Speech Recognition- Case Based Reasoning Using Speech Data for Clinical Assessment- Feature-Table-Based Automatic Question Generation for Tree-Based State Tying: A Practical Implementation- Speeding Up Dynamic Search Methods in Speech Recognition- Robotics- Conscious Robot That Distinguishes Between Self and Others and Implements Imitation Behavior- Distance-Based Dynamic Interaction of Humanoid Robot with Multiple People- Movement Prediction from Real-World Images Using a Liquid State Machine- Robot Competition Using Gesture Based Interface- Agents- Agent Support for a Grid-Based High Energy Physics Application- Feasibility of Multi-agent Simulation for the Trust and Tracing Game- Multi-agent Support for Distributed Engineering Design- Reliable Multi-agent Systems with Persistent Publish/Subscribe Messaging- A Strategy-Proof Mechanism Based on Multiple Auction Support Agents- Automated Teleoperation of Web-Based Devices Using Semantic Web Services- Context Awarable Self-configuration System for Distributed Resource Management- A Decision Support System for Inventory Control Using Planning and Distributed Agents- Planning- Controlling Complex Physical Systems Through Planning and Scheduling Integration- Plan Execution in Dynamic Environments- Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems- Incrementally Scheduling with Qualitative Temporal Information- New Upper Bounds for the Permutation Flowshop Scheduling Problem- R-Tree Representations of Disaster Areas Based on Probabilistic Estimation- Human-Computer Interaction and Natural Language Processing- AI/NLP Technologies Applied to Spacecraft Mission Design- Automatic Word Spacing in Korean for Small Memory Devices- Generating Personalized Tourist Map Descriptions- Haptic Fruition of 3D Virtual Scene by Blind People- Ontology-Based Natural Language Parser for E-Marketplaces- Towards Effective Adaptive Information Filtering Using Natural Language Dialogs and Search-Driven Agents- Towards Minimization of Test Sets for Human-Computer Systems- Discovering Learning Paths on a Domain Ontology Using Natural Language Interaction- A Geometric Approach to Automatic Description of Iconic Scenes- Man-Machine Interface of a Support System for Analyzing Open-Ended Questionnaires- Reasoning- A Holistic Approach to Test-Driven Model Checking- Inferring Definite-Clause Grammars to Express Multivariate Time Series- Obtaining a Bayesian Map for Data Fusion and Failure Detection Under Uncertainty- Event Handling Mechanism for Retrieving Spatio-temporal Changes at Various Detailed Level- Fault Localization Based on Abstract Dependencies- Freeway Traffic Qualitative Simulation- LEADSTO: A Language and Environment for Analysis of Dynamics by SimulaTiOn- Prediction-Based Diagnosis and Loss Prevention Using Model-Based Reasoning- Machine Learning- An Algorithm Based on Counterfactuals for Concept Learning in the Semantic Web- Classification of Ophthalmologic Images Using an Ensemble of Classifiers- Comparison of Extreme Learning Machine with Support Vector Machine for Text Classification- Endoscopy Images Classification with Kernel Based Learning Algorithms- Local Bagging of Decision Stumps- Methods for Classifying Spot Welding Processes: A Comparative Study of Performance- Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation- One-Class Classifier for HFGWR Ship Detection Using Similarity-Dissimilarity Representation- Improving the Readability of Decision Trees Using Reduced Complexity Feature Extraction- Intelligent Bayesian Classifiers in Network Intrusion Detection- Data Mining- Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization- Data Mining for Decision Support: An Application in Public Health Care- A Domain-Independent Approach to Discourse-Level Knowledge Discovery from Texts- An Efficient Subsequence Matching Method Based on Index Interpolation- A Meteorological Conceptual Modeling Approach Based on Spatial Data Mining and Knowledge Discovery- Mining Generalized Association Rules on Biomedical Literature- Mining Information Extraction Rules from Datasheets Without Linguistic Parsing- An Ontology-Supported Data Preprocessing Technique for Real-Life Databases- Genetic Algorithms- A Fuzzy Genetic Algorithm for Real-World Job Shop Scheduling- Pareto-Optimal Hardware for Digital Circuits Using SPEA- Application of a Genetic Algorithm to Nearest Neighbour Classification- Applying Genetic Algorithms for Production Scheduling and Resource Allocation Special Case: A Small Size Manufacturing Company- An Efficient Genetic Algorithm for TSK-Type Neural Fuzzy Identifier Design- Hardware Architecture for Genetic Algorithms- Node-Depth Encoding for Evolutionary Algorithms Applied to Multi-vehicle Routing Problem- Novel Approach to Optimize Quantitative Association Rules by Employing Multi-objective Genetic Algorithm- Neural Networks- GMDH-Type Neural Network Modeling in Evolutionary Optimization- Predicting Construction Litigation Outcome Using Particle Swarm Optimization- Self-organizing Radial Basis Function Network Modeling for Robot Manipulator- A SOM Based Approach for Visualization of GSM Network Performance Data- Using an Artificial Neural Network to Improve Predictions of Water Levels Where Tide Charts Fail- Canonical Decision Model Construction by Extracting the Mapping Function from Trained Neural Networks- Detecting Fraud in Mobile Telephony Using Neural Networks- An Intelligent Medical Image Understanding Method Using Two-Tier Neural Network Ensembles- Decision Support and Heuristic Search- The Coordination of Parallel Search with Common Components- A Decision Support Tool Coupling a Causal Model and a Multi-objective Genetic Algorithm- Emergent Restructuring of Resources in Ant Colonies: A Swarm-Based Approach to Partitioning- The Probabilistic Heuristic In Local (PHIL) Search Meta-strategy- Search on Transportation Network for Location-Based Service- A Specification Language for Organisational Performance Indicators- A New Crowded Comparison Operator in Constrained Multiobjective Optimization for Capacitors Sizing and Siting in Electrical Distribution Systems- A Two-Phase Backbone-Based Search Heuristic for Partial MAX-SAT - An Initial Investigation- Fuzzy Logic- An Algorithm for Peer Review Matching Using Student Profiles Based on Fuzzy Classification and Genetic Algorithms- Pose-Invariant Face Detection Using Edge-Like Blob Map and Fuzzy Logic- A Fuzzy Logic-Based Approach for Detecting Shifting Patterns in Cross-Cultural Data- Minimal Knowledge Anonymous User Profiling for Personalized Services- Knowledge Management- Formal Goal Generation for Intelligent Control Systems- MoA: OWL Ontology Merging and Alignment Tool for the Semantic Web- Optimizing RDF Storage Removing Redundancies: An Algorithm- Complementing Search Engines with Text Mining- A Decision Support Approach to Modeling Trust in Networked Organizations- An Integrated Approach to Rating and Filtering Web Content- Applications- Collaborative Case-Based Preference Elicitation- Complex Knowledge in the Environmental Domain: Building Intelligent Architectures for Water Management- An Expert System for the Oral Anticoagulation Treatment- Formal Verification of Control Software: A Case Study- GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems- A Nurse Scheduling System Based on Dynamic Constraint Satisfaction Problem- A Semi-autonomous Wheelchair with HelpStar- ST-Modal Logic to Correlate Traffic Alarms on Italian Highways: Project Overview and Example Installations- Train Rescheduling Algorithm Which Minimizes Passengers' Dissatisfaction- Case-Based Reasoning for Financial Prediction- The Generation of Automated Learner Feedback Based on Individual Proficiency Levels- A Geographical Virtual Laboratory for the Recomposition of Fragments- A Meta-level Architecture for Strategic Reasoning in Naval Planning- A Support Method for Qualitative Simulation-Based Learning System

Applications of artificial intelligence technology to wastewater treatment fields in China

Abstract: Current applications of artificial intelligence technology to wastewater treatment in China are summarized. Wastewater treatment plants use expert system mainly in the operation decision-making and fault diagnosis of system operation, use artificial neuron network for system modeling, water quality forecast and soft measure, and use fuzzy control technology for the intelligence control of wastewater treatment process. Finally, the main problems in applying artificial intelligence technology to wastewater treatment in China are analyzed.

LEGO robots and AI

Abstract: This tutorial will present how instructors can incorporate LEGO robots into their AI course with minimal time, effort, and resource commitment. The tutorial will: 1) cover the principles behind using robots for knowledge-based, open-laboratory projects; 2) share the design and details of several projects; 3) work the participants through sample solutions to a few of the projects, preferably hands-on; and finally, 4) discuss alternatives to LEGO and knowledge-based projects in AI. Participants will be able to apply the tutorial materials immediately to their AI course.

Coevolution and turnbased games

Abstract: Artificial intelligence plays an increasingly important role in modern computer games. As the complexity of the games increase, so does the complexity of the AI. The aim of this dissertation is to investigate how AI for a turnbased computer game can coevolve into playing smarter by combining genetic algorithms with neural networks and using a reinforcement learning regime. The results have shown that a coevolved AI can reach a high performance in this kind of turnbased strategy games. It also shows that how the data is coded and decoded and which strategy that is used plays a very big role in the final results

Cognitive Information Processing Challenges for Homeland Security.

Abstract: This paper describes the goals and emerging results of an ongoing research project in order to solicit input and feedback from the AI for Homeland Security community. The objective is to gain a greater understanding of the performance issues and computational requirements associated with real world AI applications for intelligence analysis and homeland security. These computational requirements will be used to design next generation hardware/software architectures for cognitive information processing.

AI middleware as means for improving gameplay

Abstract: Current commercial AI middleware are still far from being a generic and flexible tool for developing computer games. Also the literature lacks proposals in this field. In this work we present some of our current research on developing a new proposal for a flexible architecture that can be used in several types of games. This AI engine is designed to provide support for the implementation of AI functionalities in computer games, streamlining this implementation and allowing the developers to focus their attention on the creative side of the game, but is also focused on introducing new techniques that could allow for an improved gameplay experience or even new gameplay styles. In order to fulfill this goal, this research focuses on the design issues of such a system and its integration into games, using more powerful techniques from academic AI and strongly relying on software engineering principles.

Damping Lower Frequency Oscillation in Power System Based on Artificial Intelligence

Abstract: The present states on the research of the artificial intelligence technologies,such as artificial neural network、fuzzy theory and genetic algorithm were introduced in this paper. The application of artificial intelligence in the damping lower frenquency oscillation in power system was summed up. Some problems in above applications of artificial intelligence were analyzed.

Artificial intelligence applications and innovations : IFIP TC12 WG12.5--Second IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI2005), September 7-9, 2005, Beijing, China

Abstract: Paper Sessions.- A Fuzzy System for Multiobjective Problems.- Aero-Engine Adaptive Fuzzy Decoupling Control.- Conceptual Modelling of Knowledge-Based Systems Using UML.- Dynamic-Fuzzy Concepts.- Onto-Thesauri: An Efficient Ontology!.- A Hybrid Connectionist-Symbolic Approach for Real-Valued Pattern Classification.- Designing Fuzzy Logic Controller for Inverted Pendulum.- Learning Search Pattern for Construction Procurement Using Keyword Net.- Stratified Sampling for Association Rules Mining.- The Incompatible Knowledge Elimination in Knowledge-Integration.- Designing Cooperative Embedded Systems Using A Multiagent Approach : The Diamond Method.- FFCAS: A Flexible Agent-Based Simulation Framework for Complex Adaptive Systems.- Positive Effects of Proactive Communication in MAS.- Implementation of an Application Ontology.- Translating Ontologies to Default Logic.- Fuzzy Timed Object-Oriented Petri Net.- Modeling Multi-Agent Systems with Hierarchical Colored Petri Nets.- Soft Modeling of Knowledge Systems Through Fuzzy Petri Nets.- An Improved 3D Face Synthesis Based on Morphable Model.- Ant-Based Document Clustering and Visualization.- Local Linear Embedding with Morphable Model for Face Recognition.- Semantic Network and Concept Mapping in Xhy Items.- A Kind of Continuous Digit Speech Recognition Method.- A New Hybrid Hmm/Ann Model for Speech Recognition.- The Implementation of Online Transductive Support Vector Machine.- An Intelligent Retrieval Framework in Semantic Web Based on Agents.- A Hybrid Ant-Based Clustering Algorithm.- A Hybrid Method for Extracting Classification Rules.- A New Incremental Core-Based Clustering Method.- An Algorithm for MADM Based on Subjective Preference.- An Algorithm for Mining Association Rules with Weighted Minimum Supports.- An Improvement on Saaty's AHP.- Decision Making with Uncertainty.- Application of Particle Swarm Optimization to the Mixed Discrete Non-Linear Problems.- Design and Implement Cost-Sensitive Email Filtering Algorithms.- Fuzzy Logic Model for Multi - Purpose Multi - Reservoir System.- Fuzzy Neuro-BDI.- Improving the Particle Swarm Optimization Algorithm Using the Simplex Method at Late Stage.- Internet Intelligent Platform-AGrIP.- Iris Recognition Algorithm Based on Complex Geometrical Shape Cover.- Multi-Population Evolutionary Algorithm for Solving Constrained Optimization Problems.- Reconstruction of Freeform Surface by Support Vector Regression.- The Digital Image Experiment Platform Based on Even Liner Grammar.- An Operator Based Adaptive Genetic Algorithm.- Genetic Algorithm-Based Dynamic Intraoperative Treatment Planning for Prostate Brachytherapy.- Nonlinear Error Correct of Intelligent Sensor by Using Genetic Algorithms and Cubic Spline Interpolation.- Solving Network Testbed Mapping Problem with Genetic Algorithm.- Vastudio - A Generic Toolkit for Multi-Agent Development.- A Study on the ANN-Based Credit Risk Prediction Model and Its Application.- A Universal Vector Graphics Editing System Based on Design Pattern and Java.- An Novel Neural Network Training Based on Hybrid DE and BP.- Automated Identification of Mosquito (Diptera: Culicidae) Wingbeat Waveform by Artificial Neural Network.- Data Mining Techniques for Slope Stability Estimation with Probabilistic Neural Networks.- Design of Integral Variable Structure Control for Nonlinear System Based on CMAC Neural Network and Reference Model.- Forecasting Runoff with Higher-Embedded Dimensions Using DMEP-Based Artificial Neural Networks.- Reservoir Systems Operation Model Using Simulation and Neural Network.- Rotating Machinery Fault Diagnosis Based on Wavelet Fuzzy Neural Network.- A Novel Dynamic Knowledge Extraction Method in Cooperative Multiple Robot System Using Rough Set.- A Rough Sets Based Evaluation Model for Bot Projects Bidders.- Applications.- A Case-Based Reasoning Approach to Enhance Web-Based Training on Internet Marketing.- A Decision Support System (Dss) for Price Risk Management in Vegetable, China.- A Dynamic Constraint Solving Scheme for Semi On-Line Scheduling Problems.- A Web-Based Intelligent Tutoring System.- An Approach to Automated Knowledge Discovery in Bioinformatics.- An Expert System for Deficit Irrigation in the North China Region Based on PDA.- Artificial Intelligence in Real-Time Evaluating Electrical Conductivity of Greenhouse Substrate.- Automatic Guidance of Agricultural Vehicles Based on Global Positioning System.- Bestcity: Developing Clean Cities.- Determining of the Delay Time for a Heating Ventilating and Air-Conditioning Plant Using Multi-Weights Neurons Approach.- Development of an Expert System for Landfilling Applications in sri Lanka.- Development of an Intelligent Adapter for Field Computer.- Development of an Intelligent Yield Monitor for Grain Combine Harvester.- Feature Fusion with Neighborhood-Oscillating Tabu Search for Oriented Texture Classification.- Fuzzy Relationship Mapping Inversion and Automatic Reasoning of Crime Detective.- Generic Bi-Layered Net Model.- Generic Bi-Layered Net Programming.- Leaf Image Retrieval Using a Shape Based Method.- Performance Comparison of Language Models for Information Retrieval.- Research on Prediction about Fruit Tree Diseases and Insect Pests Based on Neural Network.- Research on Publishing System of Fruit Tree Diseases and Insect Pests Based on Webgis.- Research on Wheat Diseases and Insect Pests Geographic Information System.- Skfd-Isomap for Face Recognition.- Solution of Mdps Using Simulation-Based Value Iteration.- Study on Applications of Web Mining to Digital Library.- Study on Controller with Online Decision Support System for Laser-Controlled Leveling.- Study on Knowledge Reasoning Based on Extended Formulas.- Study on Photoelectric and Dynamical Control System for Fruit Sizing.- Study on Web-Based Agricultural Mechanization Decision Support System.- The Complex Fuzzy Control.- Others.- ICT Supported Knowledge Transfer for Agricultural Extension.- Review of Modeling and Stimulating Human Immune Sysytem.- Study and Application of Softman Communication Model.- The Adaptive Web Server Based on Ant Behavior.- The Validities of PEP and Some Characteristic Formulas in Modal Logic.