  This paper highlights the multi-agent learning virtual environment and agents
communication algorithms. The researcher proposed three algorithms required
software agents interaction in virtual learning information system environment.
The first proposed algorithm is agents interaction localization algorithm, the
second one is the dynamic agents distribution algorithm (load distribution
algorithm), and the third model is Agent communication algorithm based on using
agents intermediaries. The main objectives of these algorithms are to reduce
the response time for any agents changes in virtual learning environment (VLE)
by increasing the information exchange intensity between software agents and
reduce the overall network load, and to improve the communication between
mobile agents in distributed information system to support effectiveness.
Finally the paper describe the algorithms of information exchange between
mobile agents in VLE based on the expansion of the address structure and the
use of an agent, intermediary agents, matchmaking agents, brokers and their
entrepreneurial functions
