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<H2><A NAME="SECTION00063000000000000000">Conclusions from Learning Experiments</A></H2>
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The results on learning deeper agent models show that the UMDL SMS
benefits from the existence of agents that have the <em>capability</em>
of keeping deeper models and of looking out for their best interests.
Agents are encouraged to model other because this can bring them
higher profit. However, there is also a computational cost associated
with modeling, along with a decreasing return as other agents also
start to build models. This means that that the SMS will likely evolve
to a point where some agents build models, some of the time. This is a
great scenario because it gives us a very robust system (i.e. one that
can not be sabotaged by deviant agents), while using few resources for
this purpose and distributing the resources it uses among the agents.
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<P><ADDRESS>
<I>Jose M. Vidal <BR>
jmvidal@umich.edu <BR>
Tue Sep 30 14:35:40 EDT 1997</I>
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