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Communication of information in complex systems can be considered as majordriver of systems evolution. What matters is not the communicated informationby itself but rather the meaning that is supplied to the information. Howeverinformational exchange in a system of heterogenious agents, which code anddecode information with different meaning processing structures, is morecomplex than simple input-output model. The structural difference of coding anddecoding algorithms in a system of three or more groups of agents, entertainingdifferent sets of communication codes,provide a source of additional optionswhich has an impact on system's dynamics. The mechanisms of meaning andinformation processing can be evaluated analytically ion a model framework. Theresults show that model predictions acccurately fit empirically observed datain systems of different origions.

communication of information in systems of heterogenious agents and systems' dynamics