Abstract:Understanding the driving forces in the markets of their products is a basic necessity for any business. Quantitative models are either aggregated over large market segments or restricted to utility models of an individual's buying decision. While the aggregate models acknowledge that customer interactions are important they do not model them and hence have no way to adjust their model to changing business environments. This paper bridges the gap between individual decisions and the overall market behavior usi… Show more
“…We briefly review the setup for the agent based simulations for the high-end-gamers market. More details can be found in [1]. The agent based simulation involved a population of one to two thousand agents each playing 200 one-on-one games per month with random pairing against other agents.…”
Section: 2mentioning
confidence: 99%
“…Recently [1] have developed such an agent based model for the main features of the market for high-performance computer chips. According to INTEL's sales division these chips are almost exclusively purchased by people playing competitive games on the Internet.…”
A kinetic model for a specific agent based simulation to generate the sales curves of successive generations of high-end computer chips is developed. The resulting continuum market model consists of transport equations in two variables, representing the availability of money and the desire to buy a new chip. In lieu of typical collision terms in the kinetic equations that discontinuously change the attributes of an agent, discontinuous changes are initiated via boundary conditions between sets of partial differential equations. A scaling analysis of the transport equations determines the different time scales that constitute the market forces, characterizing different sales scenarios. It is argued that the resulting model can be adjusted to generic markets of multi-generational technology products where the innovation time scale is an important driver of the market.
“…We briefly review the setup for the agent based simulations for the high-end-gamers market. More details can be found in [1]. The agent based simulation involved a population of one to two thousand agents each playing 200 one-on-one games per month with random pairing against other agents.…”
Section: 2mentioning
confidence: 99%
“…Recently [1] have developed such an agent based model for the main features of the market for high-performance computer chips. According to INTEL's sales division these chips are almost exclusively purchased by people playing competitive games on the Internet.…”
A kinetic model for a specific agent based simulation to generate the sales curves of successive generations of high-end computer chips is developed. The resulting continuum market model consists of transport equations in two variables, representing the availability of money and the desire to buy a new chip. In lieu of typical collision terms in the kinetic equations that discontinuously change the attributes of an agent, discontinuous changes are initiated via boundary conditions between sets of partial differential equations. A scaling analysis of the transport equations determines the different time scales that constitute the market forces, characterizing different sales scenarios. It is argued that the resulting model can be adjusted to generic markets of multi-generational technology products where the innovation time scale is an important driver of the market.
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