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

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.


Published in:
Constraints, 7, 1, 49-69
Year:
2002
Publisher:
Kluwer Academic Publishers
Note:
Artificial Intelligence Laboratory, Computer Science Department, Swiss Fed. Inst. of Technol. (EPFL), Ecublens 1015, Lausanne, Switzerland
Laboratories:




 Record created 2008-01-14, last modified 2018-03-18

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