SmartClients: Constraint Satisfaction as a Paradigm for Scaleable Intelligent Information Systems

  • Authors:
  • Marc Torrens;Boi Faltings;Pearl Pu

  • Affiliations:
  • Artificial Intelligence Laboratory, Computer Science Department, Swiss Federal Institute of Technology (EPFL), Ecublens 1015, Lausanne, Switzerland marc.torrens@epfl.ch;Artificial Intelligence Laboratory, Computer Science Department, Swiss Federal Institute of Technology (EPFL), Ecublens 1015, Lausanne, Switzerland boi.faltings@epfl.ch;Database Laboratory, Computer Science Department, Swiss Federal Institute of Technology (EPFL), Ecublens 1015, Lausanne, Switzerland pearl.pu@epfl.ch

  • Venue:
  • Constraints
  • Year:
  • 2002

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Abstract

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 iscaleability: when hundreds of users access a server at the same time, it is important to avoid excessive computational load.We present the concept of iSmartClients: 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.