Intelligent Agents and Granular Worlds

  • Andrzej Bargiela
  • Witold Pedrycz
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 717)


In the previous chapters, we discussed the principle of communication between granular worlds. We have not looked at the architectural and algorithmic details of these worlds. This is the objective of this chapter. We get into detail of intelligent agents embedded in the corresponding granular worlds. A general topology of a finite state machine and more specifically fuzzy finite state machine is discussed as a comprehensive computing model. These models are particularly appealing because of their memory-based processing (so we are really concerned with dynamic systems). The underlying design process immensely benefits from available learning schemes.


State Machine Boolean Function Finite State Machine Intelligent Agent Information Granule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Andrzej Bargiela
    • 1
  • Witold Pedrycz
    • 2
  1. 1.The Nottingham Trent UniversityNottinghamUK
  2. 2.University of AlbertaEdmontonCanada

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