Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
An introduction to genetic algorithms
An introduction to genetic algorithms
Information rules: a strategic guide to the network economy
Information rules: a strategic guide to the network economy
A C++ Platform for the Evolution of Trade Networks
Computational Economics - Special issue on programming languages
Dynamic pricing strategies under a finite time horizon
Proceedings of the 3rd ACM conference on Electronic Commerce
Human Problem Solving
Market-based recommendation: Agents that compete for consumer attention
ACM Transactions on Internet Technology (TOIT)
Trusted intermediating agents in electronic trade networks
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Technical construction methods for e-marketplace
Proceedings of the 11th International Conference on Electronic Commerce
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We investigate whether intermediaries can make a profit in an information economy. We use evolutionary agent-based simulations to address this issue. We model a trade network game where boundedly rational consumers have to decide which links to form to sellers (profit maximizing producers or intermediaries). Our main conclusion is that intermediaries that have better knowledge about the market than the average consumer will continue to exist and make a profit if market dynamics are sufficiently complex.