Grzech Agent and Multi-Agent Systems: Technologies and Applications

First KES International Symposium, KES-AMSTA 2007, Wroclaw, Poland, May 31-June 1, 2007, Proceedings
2007
ISBN: 978-3-540-72830-6
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 1068 Seiten

Reihe: Lecture Notes in Artificial Intelligence

This book constitutes the refereed proceedings of the First International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2007, held in Wroclaw, Poland in May/June 2007.

The 110 revised papers presented were carefully reviewed and selected from 464 submissions and contain 4 papers from the doctoral track, and 38 papers from 3 special sessions. The papers are organized in topical sections representing the following conference tracks: methodological aspects of agent systems, agent-oriented Web applications, mobility aspects of agent systems and ontology management, multi-agent resource allocation, negotiating agents, agents for network management, agent approaches to robotic systems, market agents and other applications, the doctoral track, special sessions on mobile agent application and its development, agent on networked media and its applications on next-generation convergence network, as well as on intelligent and secure agent for digital content management.

Written for: Researchers and professionals

Keywords: HCI, NLP, P2P systems, Web applications, Web intelligence, Web-based information engineering, agent technology, authentication, computational intelligence, data engineering, data mining, decision making, evolutionary computing, fuzzy systems, human-computer interactions, information retrieval, intelligent agents, intelligent information processing, knowledge based systems, knowledge discovery, machine learing, multi-agent systems, neural computation, neural networks, ontologies, require management, security lifecycle, semantic Web, sensor networks, ubiquitous networks

Autoren/Hrsg.

Grzech, Adam

Inhaltsverzeichnis

1;Preface;6
2;Organization;8
3;Table of Contents;14
4;On the Integration of Agent-Based and Mathematical Optimization Techniques;23
5;Building Agent Service Oriented Multi-Agent Systems;33
6;Agent–Based Approach for LabVIEW Developed Distributed Control Systems;43
7;PrSH: A Belief Description Logic;53
8;Reinforcement Learning on a Futures Market Simulator;64
9;The Effects of Agent Synchronization in Asynchronous Search Algorithms;75
10;Modelling Social Attitudes of Agents;85
11;Modeling the Activity of a Multiagent System with Evolving Metadata;95
12;Software Component Selection Algorithm Using Intelligent Agents;104
13;A Methodology to Specify Multiagent Systems;114
14;A Stochastic Process Model for Daily Travel Patterns and Traffic Information;124
15;Using Data Mining Algorithms for Statistical Learning of a Software Agent;133
16;Expressivity of STRIPS-Like and HTN-Like Planning;143
17;Implementation and Performance Evaluation of the Agent-Based Algorithm for ANN Training;153
18;Agent-Based Discovery Middleware Supporting Interoperability in Ubiquitous Environments;163
19;Performance of Fast TCP in Multi-agent Systems;172
20;Manipulating Paraconsistent Knowledge in Multi-agent Systems;181
21;Consensus-Based Evaluation Framework for Cooperative Information Retrieval Systems;191
22;Hierarchy of Logics of Irrational and Conflicting Agents;201
23;Stratified Multi-agent HTN Planning in Dynamic Environments;211
24;WSrep: A Novel Reputation Model for Web Services Selection;221
25;Performance Evaluation of Mobile Agents for Knowledge-Based Web Information Services;231
26;An Agent Based Method for Web Page Prediction;241
27;X-Binder: Path Combining System of XML Documents Based on RDBMS;251
28;A Digital TV Agent System for Broadcast and Web Information Hybrid;261
29;Formal Modeling of Agent-Based English Auctions Using Finite State Process Algebra;270
30;Wiki-News Interface Agent Based on AIS Methods;280
31;Retrieving Geospatial Information into a Web-Mapping Application Using Geospatial Ontologies;289
32;MWING: A Multiagent System for Web Site Measurements;300
33;Application of Agent-Based Personal Web of Trust to Local Document Ranking;310
34;Non-repudiation Mechanism of Agent-Based Mobile Payment Systems: Perspectives on Wireless PKI;320
35;Agent-Based Data Compression Supporting Knowledge Discovery in Mobile Environment;330
36;eMARP: Enhanced Mobile Agent for RFID Privacy Protection and Forgery Detection;340
37;Ontology Agent Based Rule Base Fuzzy Cognitive Maps;350
38;OWL-DL Based Ontology Inference Engine Assessment for Context-Aware Services;360
39;Multi-resource Load Optimization Strategy in Agent-Based Systems;370
40;Online Network Resource Management for QoS-Sensitive Multimedia Services;380
41;A Resource Discovery Method Based on Multi-agents in P2P Systems;386
42;Agent Based Dynamic Data Storage and Distribution in Data Warehouses;397
43;Semantic Data Integration in P2P Environment Using Schema Mappings and Agent Technology;407
44;Intelligent Resource Allocation–Solutions and Pathways in a Workforce Planning Problem;417
45;A Multi-agent Architecture for Designing and Simulating Large Scale Wireless Systems Resource Allocation;427
46;Towards an Agent-Based Negotiation Platform for Cooperative Decision-Making in Construction Supply Chain;438
47;A Model for Informed Negotiating Agents;448
48;Power in Norm Negotiation;458
49;Quantitative Analysis of Single-Level Single-Mediator Multi-agent Systems;469
50;Software Agent Negotiation for Service Composition;478
51;A Misuse Detection Agent for Intrusion Detection in a Multi-agent Architecture;488
52;An Agent System for Bandwidth Allocation in Reservation-Based Networks Using Evolutionary Computing and Vickrey Auctions;498
53;Multiagent Approach to Network Traffic Anomalies Uncertainty Level Assessment in Distributed Intrusion Detection System;508
54;An Algorithm for Loopless Optimum Paths Finding Agent System and Its Application to Multimodal Public Transit Network;518
55;A Channel Sounding Scheme of MIMO-OFDM System for Intelligent Area Network;528
56;Wireless Intelligent LBT Agents for Common Frequency Band Efficiency;534
57;Verification of Mobile Agent Network Simulator;542
58;The Study of Multi-agent Network Flow Architecture for Application Performance Evaluation;552
59;Robotic Agent Control Based on Adaptive Intelligent Algorithm in Ubiquitous Networks;561
60;Saving Energy Consumption of Multi-robots Using Higher-Order Mobile Agents;571
61;A Plan-Based Control Architecture for Intelligent Robotic Agents;581
62;Remarks on Behaviours Programming of the Interactive Therapeutic Robot KOALA Based on Fuzzy Logic Techniques;590
63;Design of Admissible Schedules for AGV Systems with Constraints: A Logic-Algebraic Approach;600
64;Design and Implementation of Efficient Directory Facilitator for Context-Aware Service Discovery;610
65;The CrocodileAgent: Designing a Robust Trading Agent for Volatile E-Market Conditions;619
66;A Study to Apply Intelligent Agents for B2C Shopping Mall;629
67;Password-Only Authenticated Key Exchange Between Two Agents in the Four-Party Setting;638
68;Diagnostic Knowledge Acquisition for Agent-Based Medical Applications;648
69;Remote Control Multi-Agent System for u-Healthcare Service;658
70;A Block Based Moving Object Detection Utilizing the Distribution of Noise;667
71;Multi-Agent System for Hierarchical Control with Self-organising Database;677
72;Water Floating Self-assembling Agents;687
73;Failure Detection Service for Large Scale Systems;697
74;Container Handling Using Multi-agent Architecture;707
75;Distributed Code and Data Propagation Algorithm for Longest Common Subsequence Problem Solving;716
76;Design and Evaluation of a Converting Patching Agent for VOD Services;726
77;A Self-organizing Cluster Agent for Routing Algorithm in Wireless Sensor Networks;733
78;Design of Intelligence Mobile Agent Lifecycle for the Progress Management and Mobile Computing;743
79;An Agent Environment for Contextualizing Folksonomies in a Triadic Context;750
80;Design of Knowledge Discovery Agent for a Bit-Map on Ad Hoc Mobile Networks;760
81;Mobile Collaboration Framework for u-Healthcare Agent Services and Its Application Using PDAs;769
82;Developing Load Balancing System for RFID Middlewares Using Mobile Agent Technology;779
83;Design Agent for the Reliable Web Security Requirement Control;787
84;Design and Implementation of an Intelligent Robot Agent System Considering the Server’s Workload;797
85;WANT: A Personal Knowledge Management System on Social Software Agent Technologies;807
86;Mobile Agents Using Data Mining for Diagnosis Support in Ubiquitous Healthcare;817
87;Agent-Based Approach to Distributed Ensemble Learning of Fuzzy ARTMAP Classifiers;827
88;Framework for Data Aggregation and Insurance Service in Vehicle Telematics Using Multi-agents;837
89;Business Model and Comparasion of S/W Source Code vs. Digital License for IPRs;847
90;PKG-MIB: Private-Mib for Package-Based Linux Systems in a Large Scale Management Domain;855
91;Perormance of TPR*-Trees for Predicting Future Positions of Moving Objects in U-Cities;863
92;Strategy of Positioning for LBS on U-Campus;873
93;Indirect DiffServ QoS for SIP in Broadband Access Networks;881
94;An Intelligent Positioning Scheme for Mobile Agents in Ubiquitous Networks for U-City;889
95;A User Interface for Controlling Information Appliances in Smart Homes;897
96;A Design of the Simulator for Web-Based Load Balancing;906
97;Remote Control of Smart Homes Using Korean Natural Language Processing;914
98;A VDS Based Traffic Accident Prediction Analysis and Future Application;923
99;An Intelligent Diversity Scheme for Accurate Positioning of Mobile Agents for U-City;932
100;A Relay-Transmission of the RFID Tag ID over the Wireless and TCP/IP with a Security Agent;940
101;An Agent-Based Web Service Composition Using Semantic Information and QoS;950
102;Traffic Signal Planning Using a Smart Agent System;960
103;Entity Based Message Authentication System;970
104;The Design and Testing of Automated Signature Generation Engine for Worms Detection;978
105;Data Conversion Agents Between Heterogeneous Using IC Information;986
106;User Adaptive Game Characters Using Decision Trees and FSMs;994
107;A Location-Aware Error Control Scheme of Route Multicast for Moving Agents;1004
108;Blur Detection of Digital Forgery Using Mathematical Morphology;1012
109;An Efficient Authentication Protocol for Low-Cost RFID Systems;1021
110;A Countermeasure of Fake Root Key Installation Using One-Time Hash Chain;1029
111;Proposal for a Ubiquitous Virtual Enterprise Reference Model on Next-Generation Convergence Network;1039
112;The Hiding of Secret Data Using the Run Length Matching Method;1049
113;Agent-Based Connection Control for Digital Content Service;1057
114;Author Index;1065

Leseproben

Agent–Based Approach for LabVIEW Developed Distributed Control Systems (p. 21-22)

Grzegorz Polaków and Mieczys³aw Metzger
Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44–100 Gliwice, Poland

Abstract. Idea of networked software agents is particularly popular in the field of information sciences dealing with distributed content, whereas in industrial automation its use is usually limited to manufacturing systems. This work presents a concept of multi–agent networked system for automation of continuous processes. Some properties of typical software agent (i.e. advanced high level languages and social skills) had to be dropped in exchange for determinism and satisfying time performance in negotiations between network– connected control components. The proposed environment is National Instruments LabVIEW, very popular solution for automation and measurement. LabVIEW is equipped with advanced data acquisition tools and is capable of artificial intelligence methods, although it lacks agentification mechanisms. A framework is presented, providing LabVIEW the required functionality. Keywords: multiagent–based networking, producer–distributor–consumer, distributed control systems, process control, systems integration.

1 Introduction

There is strong ongoing progress in the field of agent–based technologies. The theory proved its usefulness and commercial interest in its applications boosted rapidly, resulting in countless implementations, especially in the most popular environment of distributed content i.e. World Wide Web [1], [2]. However, process of adaptation and implementation of the original idea in automation and control science is not so successful and varies greatly depending on subject. On the one hand, natural entity based structure of software agencies reflects perfectly processes occurring in manufacturing systems and already proved its usability in that field, overtaking classical approaches [3]. On the other hand, in the automation of continuous processes it is hard to tie agents to non–discrete physical phenomena like flow of liquids, gases or heat. In this case agents have rather to be bound to logical structure of control system. Great implementation of such agent–based frameworks in continuous plants was done by van Breemen and de Vries [4]. Their works are a significant contribution inttroducing agents theory in the field of process automation, however they overlook important issue, that is implementation of theory in existing physical plants and systems. Solving this issue is significant and non–trivial, since while there is wide choice of frameworks for developing intelligent agents in abstract knowledge environments, there is no ready solution for agentification of spatially distributed control systems. Specific requirement, needed to be fulfilled by software to be usable in the field of data acquisition and control, is easy and unproblematic integration of logical software layer with physical hardware of control instrumentation. One of applications fulfilling this requirement, therefore suitable for the task, is National Instruments’ LabVIEW.

LabVIEW is a very popular software development solution for engineers. A programming language which LabVIEW implements is simple yet powerful graphical language based on functional block diagrams, often called a "G language". Capabilities of the NI LV are the same as capabilities of any other classical text– based programming language. It also includes a wide set of predefined function blocks providing functionalities useful in advanced software, i.e.:

- artificial intelligence tools (neural networks and fuzzy logic),
- basic functions of a desktop computer’s operational system’s network protocol stack,
- control instrumentation connectibility (using standards like OPC, and proprietary protocols like Logos),
- rich Human–Machine Interfaces and visualisation tools.

As it can be concluded from the above list, internal agent’s intelligence can easily be programmed by an end user using library of components supplied by default. However, it was necessary to design a protocol for agents communication and build a required framework supporting it. A new potential of continuous control systems gained by agentification at control loop layer turned out to be unprecedented, which was motivation to describe it in detail. Concept of networked multiagent system for continuous process control (including structure of the framework, communication protocols and language of agents) is an original contribution.