The Application of Evolution Process in Multi-Agent World to the Prediction System
Krzysztof Cetnarowicz, Marek Kisiel‐Dorohinicki, Edward Nawarecki · 1996
Software systems become more and more complex thus the application of self-developing distributed and decentralized processing is indispensable. The complexity of such systems requires new tools for designing, programming and debugging processes which imp|ies the fact that new approaches to decentralization should be unde.rtaken. An idea of autonomous agents arises as an extension to the object and process concepts. The active agent is invented as a basic element of which distributed and decentralized systems can be built. The use of evolution strategies in design of multi-ageat systems reveals new posibilities of developing complex software systems. rh(: cwJlution plays also a key role in creation and organi~.ation of social structures. In this paper a new te(:hnology of designing and building agent sy~ terns based on genetic methods and a draft concept of a model-based approach to such systems are described. Also an application of this technology to a self-developing prediction system is presented and results of simulation experiments carried out with the use of I)-1 random time series are discussed.