A Multiagent-Based Complex Systems Approach for Efficient Partnering in Virtual Enterprise

Nowadays a sophisticated match-making mechanism is necessarily for appropriate collations in virtual enterprise (VE). Virtual market based matchmaking operation enables effective partner search in terms of products allocation by distributing the scheduled resources according to the market prices, which define common scale of value across the various products. We formulate the VE match-making model as discrete resource allocation problem, and propose a complex market-oriented programming framework based on the economics of complex systems. Three types of heterogeneous agents are defined in the complex virtual market. It is described that their interactions with micro behaviour emerge a macro order of the virtual market, and the clearing price dynamism can be analysed in economic terms. The applicability of the framework into resource allocation problem for VE is also discussed.