SmartClients: Constraint satisfaction as a paradigm for scaleable intelligent information systems

被引:23
|
作者
Torrens M. [1 ]
Faltings B. [1 ]
Pu P. [2 ]
机构
[1] Artificial Intelligence Laboratory, Computer Science Department, Swiss Federal Institute of Technology (EPFL), Lausanne
[2] Database Laboratory, Computer Science Department, Swiss Federal Institute of Technology (EPFL), Lausanne
关键词
Configuration; Constraint satisfaction; Electronic catalogs; Electronic commerce; Information systems; Software agents;
D O I
10.1023/A:1017940426216
中图分类号
学科分类号
摘要
Many information systems are used in a problem solving context. Examples are travel planning systems, catalogs in electronic commerce, or agenda planning systems. They can be made more useful by integrating problem-solving capabilities into the information systems. This poses the challenge of scaleability: when hundreds of users access a server at the same time, it is important to avoid excessive computational load. We present the concept of SmartClients: lightweight problem-solving agents based on constraint satisfaction which can carry out the computation- and communication-intensive tasks on the user's computer. We present an example of an air travel planning system based on this technology.
引用
收藏
页码:49 / 69
页数:20
相关论文
共 50 条
  • [11] Distributed Intelligent Systems: A Paradigm Shift
    Gruver, William A.
    [J]. 2012 4TH IEEE INTERNATIONAL SYMPOSIUM ON LOGISTICS AND INDUSTRIAL INFORMATICS (LINDI), 2012, : 149 - 149
  • [12] Modeling Hybrid Systems in the Concurrent Constraint Paradigm
    Adalid, Damian
    del Mar Gallardo, Maria
    Titolo, Laura
    [J]. ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, 2015, (173): : 1 - 15
  • [13] Intelligent information systems
    Zabezhailo, MI
    Finn, VK
    [J]. INTERNATIONAL FORUM ON INFORMATION AND DOCUMENTATION, 1996, 21 (02): : 21 - 31
  • [14] An information-based neural approach to constraint satisfaction
    Jönsson, H
    Söderberg, B
    [J]. NEURAL COMPUTATION, 2001, 13 (08) : 1827 - 1838
  • [15] Interactive constraint satisfaction techniques for information gathering in planning
    Barruffi, R
    Milano, M
    [J]. ECAI 1998: 13TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1998, : 514 - 515
  • [16] Rigorous constraint satisfaction for sampled linear systems
    Darup, Moritz Schulze
    [J]. EUROPEAN JOURNAL OF CONTROL, 2016, 31 : 52 - 58
  • [17] Asynchronous Systems for Constraint Satisfaction: Filtering and Stability
    Lahlou, Tarek A.
    Baran, Thomas A.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 4816 - 4820
  • [18] Using constraint satisfaction for designing mechanical systems
    Yvars, Pierre-Alain
    [J]. INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2008, 2 (03): : 161 - 167
  • [19] Constraint optimization and abstraction for embedded intelligent systems
    Maier, Paul
    Sachenbacher, Martin
    [J]. INTEGRATION OF AI AND OR TECHNIQUES IN CONSTRAINT PROGRAMMING FOR COMBINATORIAL OPTIMIZATION PROBLEMS, 2008, 5015 : 338 - 342
  • [20] Detection of Unethical Intelligent Agents in Ethical Distributed Constraint Satisfaction Problems
    El Khattabi, Ghizlane
    Haij, Oussama
    Benelallam, Imade
    Bouyakhf, El Houssine
    [J]. PROCEEDINGS OF THE 2ND MEDITERRANEAN CONFERENCE ON PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (MEDPRAI-2018), 2018, : 52 - 57