Multi-agent software systems can be modelled as complex dynamic systems in
which agent adaptation and interaction occur continuously and concurrently.
A genetics-inspired view has interaction occurring via exchange of agent c
haracteristics encoded as genes, plus measures of success. An economics-ins
pired view has agent adaptation driven by changes in prices and supply and
demand. This paper describes work towards a synergistic combination of thes
e views.