DocumentCode :
3625037
Title :
An Evolutionary Model of Brand Competition
Author :
Abhijit Sengupta;Danica Vukadinovic Greetham;Michael Spence
Author_Institution :
Mathematical and Psychological Sciences, Unilever Corporate Research, Colworth Park, Sharnbrook, MK441LQ, UK. Email: Abhijit.Sengupta@unilever.com
fYear :
2007
fDate :
4/1/2007 12:00:00 AM
Firstpage :
100
Lastpage :
107
Abstract :
We study the evolutionary dynamics of brand competition in a market where two firms are competing against each other. A brand´s strategy at each period could be either to innovate on its own or to copy the rival or maintain the same position as before. Consumers are heterogenous, they interact with each other, and under bounded rationality choose one of the products every period, based on their characteristics and price. A multi-agent simulation has been designed under three specifications - no network, a random network and a 2-level network. The cases of no networks, random networks and 2-level networks of different densities give very different results in terms of attainment of equilibrium. Moreover, convergence is always more frequent and faster in case of dense 2-level networks and in the case of sparse random networks. It was also noticed that a skew in the distribution of consumers in the characteristics space leads to more variation in equilibrium values as well as in the likelihood of convergence
Keywords :
"Convergence","Mathematical model","Psychology","Investments","Buildings","Game theory","Communication industry","Computer industry","Electronics industry","Pharmaceuticals"
Publisher :
ieee
Conference_Titel :
Artificial Life, 2007. ALIFE ´07. IEEE Symposium on
ISSN :
2160-6374
Print_ISBN :
1-4244-0701-X
Electronic_ISBN :
2160-6382
Type :
conf
DOI :
10.1109/ALIFE.2007.367784
Filename :
4218874
Link To Document :
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