  In this work we study spin-glass (SG) like behavior in the dynamics of
multiple agents in a social or economic context using interactions which are
similar to the physical case. The different preferences shown by individual
agents are represented by orientations of spin-like variables. Because of
limited resources, each agent tries to maximize her total utility function,
giving a prescription for the dynamics of the system similar to the evolution
resulting from the optimization of the interaction of a SG. The coupling
between agents for different attributes may be positive or negative, as in a
physical SG system, forming "frustrations" from the ensuing conflicts, with the
system trying to find an overall equilibrium, but in vain, so that we observe
oscillations. The couplings are provided by matrices corresponding to each
attribute and each agent, which are allowed to have some fixed bias, indicating
the unchangeable component of the make up of the agents from genetic factors or
lasting environmental influences, and also contain a random part from
environmental noise, i.e. the cumulative stochastic effect of lumped factors
not explicitly accounted for in the model.
